Pombo, G., Gray, R., Cardoso, M., Ourselin, S., Rees, G., Ashburner, J., & Nachev, P. (2023). Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. Medical Image Analysis.
Scannell, C., Alskaf, E., Sharrack, N., Razavi, R., Ourselin, S., Young, A., Plein, S., & Chiribiri, A. (2023). AI-AIF: artificial intelligence-based arterial input function for quantitative stress perfusion cardiac magnetic resonance. European Heart Journal-Digital Health.
Cheetham, N., Penfold, R., Giunchiglia, V., Bowyer, V., Sudre, C., Canas, L., Deng, J., Murray, B., Kerfoot, E., & Antonelli, M. (2023). The effects of COVID-19 on cognitive performance in a community-based cohort: A COVID Symptom Study Biobank observational study. medRxiv.
Baker, C., Liang, W., Shi, M., Zhao, T., Joubert, F., Ourselin, S., Vercauteren, T., Colchester, R., West, S., & Desjardins, A. (2023). Real-time 3D-photoacoustic tracking system for localisation of an intraoperative needle tip (Conference Presentation). Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXI.
Bridgen, P., Malik, S., Wilkinson, T., Cronin, J., Bhagat, T., Hart, N., Mc Corkell, S., Perkins, J., Tibby, S., & Hanna, S. (2023). Reliability and safety of anaesthetic equipment around an high-field 7-Tesla MRI scanner. British Journal of Anaesthesia.
Moriconi, S., Cardoso, M., Nachev, P., & Ourselin, S. (2023). Graph-based Hemodynamics for Biomarkers of Neurovascular Resilience. .
Tsui, A., Tudosiu, P., Brudfors, M., Jha, A., Cardoso, J., Ourselin, S., Ashburner, J., Rees, G., Davis, D., & Nachev, P. (2023). Predicting mortality in acutely hospitalised older patients: the impact of model dimensionality. BMC medicine.
Jiao, J., Heeman, F., Dixon, R., Wimberley, C., Lopes Alves, I., Gispert, J., Lammertsma, A., van Berckel, B., da Costa-Luis, C., & Markiewicz, P. (2023). NiftyPAD-Novel Python package for quantitative analysis of dynamic PET data. Neuroinformatics.
Garcia-Peraza-Herrera, L., Ourselin, S., & Vercauteren, T. (2023). VideoSum: A Python Library for Surgical Video Summarization. arXiv preprint arXiv:2303.10173.
Herrera, L., Horgan, C., Ourselin, S., Ebner, M., & Vercauteren, T. (2023). Hyperspectral image segmentation: a preliminary study on the Oral and Dental Spectral Image Database (ODSI-DB). .
Zhao, T., Shi, M., Ourselin, S., Vercauteren, T., & Xia, W. (2023). Deep learning boosts the imaging speed of photoacoustic endomicroscopy. Photons Plus Ultrasound: Imaging and Sensing 2023.
Moriconi, S., Machado Cardoso, M., Nachev, P., & Ourselin, S. (2023). APPARATUS AND METHOD FOR IMAGE PROCESSING. .
Dorent, R., Kujawa, A., Ivory, M., Bakas, S., Rieke, N., Joutard, S., Glocker, B., Cardoso, J., Modat, M., & Batmanghelich, K. (2023). CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Analysis.
Antonelli, M., Diaz-Pinto, A., Mehta, P., Cardoso, J., Ourselin, S., Granados, A., & Dasgupta, P. (2023). Patient-specific 3D printed/virtual models from automated segmentation using MONAI labels. European Urology Open Science.
Garcia Peraza Herrera, L., Horgan, C., Ourselin, S., Ebner, M., & Vercauteren, T. (2023). Hyperspectral image segmentation: a preliminary study on the Oral and Dental Spectral Image Database (ODSI-DB). Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization.
Messina, R., Sudre, C., Wei, D., Filippi, M., Ourselin, S., & Goadsby, P. (2023). Biomarkers of Migraine and Cluster Headache: Differences and Similarities. Annals of Neurology.
Aristimunha, B., Bayerlein, A., Cardoso, M., Pinaya, W., & De Camargo, R. (2023). Sleep-Energy: An Energy Optimization Method to Sleep Stage Scoring. IEEE Access.
Vandebroek, T., Legrand, J., Vercauteren, T., Ourselin, S., Deprest, J., & Vander Poorten, E. (2023). Design and modelling of an anisotropic continuum robot end-effector for single-port access surgery suturing. Advances in Mechanical Engineering.
Garcia-Peraza, L., Horgan, C., Ourselin, S., Ebner, M., & Vercauteren, T. (2023). Hyperspectral image segmentation: a preliminary study on the Oral and Dental Spectral Image Database (ODSI-DB). Frontiers in Robotics and AI.
James, S., Nicholas, J., Lu, K., Keshavan, A., Lane, C., Parker, T., Buchanan, S., Keuss, S., Murray-Smith, H., & Wong, A. (2023). Adulthood cognitive trajectories over 26 years and brain health at 70 years of age: findings from the 1946 British Birth Cohort. Neurobiology of aging.
Deprest, T., Fidon, L., De Keyzer, F., Ebner, M., Deprest, J., Demaerel, P., De Catte, L., Vercauteren, T., Ourselin, S., & Dymarkowski, S. (2023). Application of Automatic Segmentation on Super-Resolution Reconstruction MR Images of the Abnormal Fetal Brain. American Journal of Neuroradiology.
Canas, L., Molteni, E., Deng, J., Sudre, C., Murray, B., Kerfoot, E., Antonelli, M., Rjoob, K., Pujol, J., & Polidori, L. (2023). Profiling post-COVID syndrome across different variants of SARS-CoV-2: a prospective longitudinal study on the unvaccinated wild-type, unvaccinated alpha, and vaccinated delta-variant populations. The Lancet Digital Health.
Wu, Z., Reyzabal, M., Sadati, S., Liu, H., Ourselin, S., Leff, D., Katzschmann, R., Rhode, K., & Bergeles, C. (2023). Towards a Physics-Based Model for Steerable Eversion Growing Robots. IEEE Robotics and Automation Letters.
Baker, C., Xochicale, M., Joubert, F., Lin, F., Mathews, S., Shakir, D., Ourselin, S., David, A., Dromey, B., & Desjardins, A. (2023). Real-time ultrasonic needle tip tracking with an integrated fibre-optic hydrophone (Conference Presentation). Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXI.
Giles, D., Xu, T., Foulon, C., Gray, R., Ourselin, S., Cardoso, J., Jäger, H., Rees, G., Jha, A., & Nachev, P. (2023). Individualised prescriptive inference in ischaemic stroke. arXiv preprint arXiv:2301.10748.
Reinke, A., Tizabi, M., Baumgartner, M., Eisenmann, M., Heckmann-Nötzel, D., Kavur, A., Rädsch, T., Sudre, C., Acion, L., & Antonelli, M. (2023). Understanding metric-related pitfalls in image analysis validation. ArXiv.
Graham, M., Tudosiu, P., Wright, P., Pinaya, W., Jean-Marie, U., Mah, Y., Teo, J., Jager, R., Werring, D., & Nachev, P. (2022). Transformer-based out-of-distribution detection for clinically safe segmentation. International Conference on Medical Imaging with Deep Learning.
Menni, C., Valdes, A., Polidori, L., Antonelli, M., Penamakuri, S., Nogal, A., Louca, P., May, A., Figueiredo, J., & Hu, C. (2022). A Comparison of Symptom Prevalence, Severity and Duration in the SARS-CoV-2 Omicron Versus Delta Variants Among Vaccinated Individuals from the ZOE COVID Study. .
Millar, J., Neyton, L., Seth, S., Dunning, J., Merson, L., Murthy, S., Russell, C., Keating, S., Swets, M., & Sudre, C. (2022). Distinct clinical symptom patterns in patients hospitalised with COVID-19 in an analysis of 59,011 patients in the ISARIC-4C study. Scientific Reports.
Mutaz Zeidan, A., Ramirez Gilliland, P., Patel, A., Ou, Z., Flouri, D., Mufti, N., Maksym, K., Aughwane, R., Ourselin, S., & David, A. (2022). PIPPI2021: An Approach to Automated Diagnosis and Texture Analysis of the Fetal Liver & Placenta in Fetal Growth Restriction. arXiv e-prints.
Gupta, V., Erdal, B., Ramirez, C., Floca, R., Jackson, L., Genereaux, B., Bryson, S., Bridge, C., Kleesiek, J., & Nensa, F. (2022). Current State of Community-Driven Radiological AI Deployment in Medical Imaging. arXiv preprint arXiv:2212.14177.
Li, P., Ebner, M., Noonan, P., Horgan, C., Bahl, A., Ourselin, S., Shapey, J., & Vercauteren, T. (2022). Deep learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization.
Coath, W., Modat, M., Cardoso, M., Markiewicz, P., Lane, C., Parker, T., Keshavan, A., Buchanan, S., Keuss, S., & Harris, M. (2022). Operationalising the Centiloid Scale for [18F] florbetapir PET Studies on PET/MR. medRxiv.
Reinke, A., Maier-Hein, L., Christodoulou, E., Glocker, B., Scholz, P., Isensee, F., Kleesiek, J., Kozubek, M., Reyes, M., & Riegler, M. (2022). Metrics Reloaded-A new recommendation framework for biomedical image analysis validation. Medical Imaging with Deep Learning.
Menni, C., May, A., Polidori, L., Louca, P., Wolf, J., Capdevila, J., Hu, C., Ourselin, S., Steves, C., & Valdes, A. (2022). COVID-19 vaccine waning and effectiveness and side-effects of boosters: A prospective community study from the ZOE COVID Study. The Lancet Infectious Diseases.
Moriconi, S., Nachev, P., Ourselin, S., & Cardoso, M. (2022). Solid NURBS Conforming Scaffolding for Isogeometric Analysis. arXiv e-prints.
Cabrilo, I., Delaunay, R., Heaysman, C., Ourselin, S., Vitiello, V., Vercauteren, T., Marcus, H., & Dorward, N. (2022). A novel intraoperative ultrasound probe for transsphenoidal surgery: first-in-human study. Surgical Innovation.
Wang, G., Vercauteren, T., Ourselin, S., Li, W., & Fidon, L. (2022). System and computer-implemented method for segmenting an image. .
Baker, C., Xochicale, M., Lin, F., Mathews, S., Joubert, F., Shakir, D., Miles, R., Mosse, C., Zhao, T., & Liang, W. (2022). Intraoperative Needle Tip Tracking with an Integrated Fibre-Optic Ultrasound Sensor. Sensors.
Fidon, L., Shit, S., Ezhov, I., Paetzold, J., Ourselin, S., & Vercauteren, T. (2022). Generalized Wasserstein Dice Loss, Test-Time Augmentation, and Transformers for the BraTS 2021 Challenge. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part II.
Albarqouni, S., Bakas, S., Bano, S., Cardoso, M., Khanal, B., Landman, B., Li, X., Qin, C., Rekik, I., & Rieke, N. (2022). Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health: Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings. .
Gazzina, S., Grassi, M., Premi, E., Alberici, A., Benussi, A., Archetti, S., Gasparotti, R., Bocchetta, M., Cash, D., & Todd, E. (2022). Structural brain splitting is a hallmark of Granulin-related frontotemporal dementia. Neurobiology of Aging.
Sudre, C., Moriconi, S., Rehwald, R., Smith, L., Tillin, T., Barnes, J., Atkinson, D., Ourselin, S., Chaturvedi, N., & Hughes, A. (2022). Accelerated vascular aging: Ethnic differences in basilar artery length and diameter, and its association with cardiovascular risk factors and cerebral small vessel disease. Frontiers in cardiovascular medicine.
Pérez-García, F., Alim-Marvasti, A., Romagnoli, G., Clarkson, M., Sparks, R., Duncan, J., & Ourselin, S. (2022). Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies. Frontiers in Neuroinformatics.
Wood, D., Kafiabadi, S., Al Busaidi, A., Guilhem, E., Montvila, A., Lynch, J., Townend, M., Agarwal, S., Mazumder, A., & Barker, G. (2022). Deep learning models for triaging hospital head MRI examinations. Medical Image Analysis.
Khosropanah, P., Della Costanza, M., Kuo, L., Mancini, M., Vos, S., Winston, J., Sparks, R., Ourselin, S., Duncan, J., & Vakharia, V. (2022). 012 Structural connectivity informed stereoelectroencephalography (SEEG) electrode targeting in suspected pseudotemporal and temporal plus epilepsy. Journal of Neurology, Neurosurgery and Psychiatry.
Diaz-Pinto, A., Alle, S., Ihsani, A., Asad, M., Nath, V., Pérez-García, F., Mehta, P., Li, W., Roth, H., & Vercauteren, T. (2022). Monai label: A framework for ai-assisted interactive labeling of 3d medical images. arXiv preprint arXiv:2203.12362.
Cardoso, M., Li, W., Brown, R., Ma, N., Kerfoot, E., Wang, Y., Murrey, B., Myronenko, A., Zhao, C., & Yang, D. (2022). MONAI: An open-source framework for deep learning in healthcare. arXiv preprint arXiv:2211.02701.
Markiewicz, P., da Costa‐Luis, C., Dickson, J., Barnes, A., Krokos, G., MacKewn, J., Clark, T., Wimberley, C., MacNaught, G., & Yaqub, M. (2022). Advanced quantitative evaluation of PET systems using the ACR phantom and NiftyPET software. Medical Physics.
Komninos, C., Pissas, T., Mekki, L., Flores, B., Bloch, E., Vercauteren, T., Ourselin, S., Da Cruz, L., & Bergeles, C. (2022). Surgical biomicroscopy-guided intra-operative optical coherence tomography (iOCT) image super-resolution. International Journal of Computer Assisted Radiology and Surgery.
Flouri, D., Darby, J., Holman, S., Cho, S., Dimasi, C., Perumal, S., Ourselin, S., Aughwane, R., Mufti, N., & Macgowan, C. (2022). Placental MRI Predicts Fetal Oxygenation and Growth Rates in Sheep and Human Pregnancy. Advanced Science.
Kläser, K., Molteni, E., Graham, M., Canas, L., Österdahl, M., Antonelli, M., Chen, L., Deng, J., Murray, B., & Kerfoot, E. (2022). COVID-19 due to the B. 1.617. 2 (Delta) variant compared to B. 1.1. 7 (Alpha) variant of SARS-CoV-2: a prospective observational cohort study. Scientific reports.
Fidon, L., Viola, E., Mufti, N., David, A., Melbourne, A., Demaerel, P., Ourselin, S., Vercauteren, T., Deprest, J., & Aertsen, M. (2022). A spatio-temporal atlas of the developing fetal brain with spina bifida aperta. Open Research Europe.
Zhao, T., Ma, M., Ourselin, S., Vercauteren, T., & Xia, W. (2022). Video-rate dual-modal photoacoustic and fluorescence imaging through a multimode fibre towards forward-viewing endomicroscopy. Photoacoustics.
Molteni, E., Sudre, C., Canas, L., Bhopal, S., Hughes, R., Chen, L., Deng, J., Murray, B., Kerfoot, E., & Antonelli, M. (2022). Illness characteristics of COVID-19 in children infected with the SARS-CoV-2 Delta variant. Children.
Nguyen, L., Joshi, A., Drew, D., Merino, J., Ma, W., Lo, C., Kwon, S., Wang, K., Graham, M., & Polidori, L. (2022). Author Correction: Self-reported COVID-19 vaccine hesitancy and uptake among participants from different racial and ethnic groups in the United States and United Kingdom. Nature Communications.
Kennedy, B., Fitipaldi, H., Hammar, U., Maziarz, M., Tsereteli, N., Oskolkov, N., Varotsis, G., Franks, C., Nguyen, D., & Spiliopoulos, L. (2022). App-based COVID-19 syndromic surveillance and prediction of hospital admissions in COVID Symptom Study Sweden. Nature Communications.
Fernandez, V., Pinaya, W., Borges, P., Tudosiu, P., Graham, M., Vercauteren, T., & Cardoso, M. (2022). Can segmentation models be trained with fully synthetically generated data?. Simulation and Synthesis in Medical Imaging: 7th International Workshop, SASHIMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings.
Klinge, T., Talbot, H., Paddick, I., Ourselin, S., McClelland, J., & Modat, M. (2022). Toward semi-automatic biologically effective dose treatment plan optimisation for Gamma Knife radiosurgery. Physics in Medicine & Biology.
Wood, D., Kafiabadi, S., Al Busaidi, A., Guilhem, E., Montvila, A., Lynch, J., Townend, M., Agarwal, S., Mazumder, A., & Barker, G. (2022). Accurate brain‐age models for routine clinical MRI examinations. Neuroimage.
Menni, C., Valdes, A., Polidori, L., Antonelli, M., Penamakuri, S., Nogal, A., Louca, P., May, A., Figueiredo, J., & Hu, C. (2022). Symptom prevalence, duration, and risk of hospital admission in individuals infected with SARS-CoV-2 during periods of omicron and delta variant dominance: a prospective observational study from the ZOE COVID Study. The Lancet.
Tudosiu, P., Graham, M., Vercauteren, T., & Cardoso, M. (2022). Can Segmentation Models Be Trained with Fully Synthetically Generated Data?. Simulation and Synthesis in Medical Imaging: 7th International Workshop, SASHIMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings.
Visconti, A., Murray, B., Rossi, N., Wolf, J., Ourselin, S., Spector, T., Freeman, E., Bataille, V., & Falchi, M. (2022). Cutaneous manifestations of SARS‐CoV‐2 infection during the Delta and Omicron waves in 348 691 UK users of the UK ZOE COVID Study app. British Journal of Dermatology.
Österdahl, M., Whiston, R., Sudre, C., Asnicar, F., Cheetham, N., Blanco Miguez, A., Bowyer, V., Antonelli, M., Snell, O., & dos Santos Canas, L. (2022). Metabolomic and gut microbiome profiles across the spectrum of community-based COVID and non-COVID disease: A COVID-19 Biobank study.. medRxiv.
Alim-Marvasti, A., Romagnoli, G., Dahele, K., Modarres, H., Pérez-García, F., Sparks, R., Ourselin, S., Clarkson, M., Chowdhury, F., & Diehl, B. (2022). Probabilistic landscape of seizure semiology localizing values. Brain Communications.
Foster, P., Russell, L., Peakman, G., Convery, R., Bouzigues, A., Greaves, C., Bocchetta, M., Cash, D., van Swieten, J., & Jiskoot, L. (2022). Examining empathy deficits across familial forms of frontotemporal dementia within the GENFI cohort. cortex.
Reeves, F., Challacombe, B., Ribbits, A., Ourselin, S., & Dasgupta, P. (2022). Idea, Development, Exploration, Assessment, Long-term follow-up study (IDEAL) stage 1/2a evaluation of urological procedures with the Versius robot. BJU international.
Joutard, S., Dorent, R., Ourselin, S., Vercauteren, T., & Modat, M. (2022). Driving Points Prediction for Abdominal Probabilistic Registration. Machine Learning in Medical Imaging: 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings.
Joyeux, L., Van der Merwe, J., Aertsen, M., Patel, P., Khatoun, A., da Cunha, M., De Vleeschauwer, S., Parra, J., Danzer, E., & McLaughlin, M. (2022). Neuroprotection is improved by watertightness of fetal spina bifida repair in fetal lamb. Ultrasound in obstetrics & gynecology: the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.
Nachev, P., Ourselin, S., & Cardoso, M. (2022). Fitting Segmentation Networks on Varying Image Resolutions Using Splatting. Medical Image Understanding and Analysis: 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27–29, 2022, Proceedings.
Zhao, T., Pham, T., Baker, C., Ma, M., Ourselin, S., Vercauteren, T., Zhang, E., Beard, P., & Xia, W. (2022). Ultrathin, high-speed, all-optical photoacoustic endomicroscopy probe for guiding minimally invasive surgery. Biomedical Optics Express.
Zhao, T., Shi, M., Ourselin, S., Vercauteren, T., & Xia, W. (2022). Ai-enabled high-speed photoacoustic endomicroscopy through a multimode fibre. Photons Plus Ultrasound: Imaging and Sensing 2022.
Berger, L., Gulamhusein, A., Hyde, E., Gibb, M., Kuusk, T., Neves, J., Silva, P., Marchetti, M., Barod, R., & Tran, M. (2022). Clinical experience of using virtual 3D modelling for pre and intraoperative guidance during robotic-assisted partial nephrectomy. Journal of Clinical Urology.
Komninos, C., Pissas, T., Flores, B., Bloch, E., Vercauteren, T., Ourselin, S., Cruz, L., & Bergeles, C. (2022). Intra-operative OCT (iOCT) Super Resolution: A Two-Stage Methodology Leveraging High Quality Pre-operative OCT Scans. Ophthalmic Medical Image Analysis: 9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings.
Zeidan, A., Ramirez-Gilliland, P., Patel, A., Ou, Z., Flouri, D., Mufti, N., Maksym, K., Aughwane, R., Ourselin, S., & David, A. (2022). Texture-Based Analysis of the Placenta and Fetal Liver: Application to Fetal Growth Restriction. REPRODUCTIVE SCIENCES.
Huber, M., Ourselin, S., Bergeles, C., & Vercauteren, T. (2022). Deep homography estimation in dynamic surgical scenes for laparoscopic camera motion extraction. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization.
Booth, T., Grzeda, M., Chelliah, A., Roman, A., Al Busaidi, A., Dragos, C., Shuaib, H., Luis, A., Mirchandani, A., & Alparslan, B. (2022). Imaging biomarkers of glioblastoma treatment response: a systematic review and meta-analysis of recent machine learning studies. Frontiers in oncology.
Molteni, E., Astley, C., Ma, W., Sudre, C., Magee, L., Murray, B., Fall, T., Gomez, M., Tsereteli, N., & Franks, P. (2022). Author Correction: Symptoms and syndromes associated with SARS-CoV-2 infection and severity in pregnant women from two community cohorts. Scientific Reports.
Nguyen, L., Anyane-Yeboa, A., Klaser, K., Merino, J., Drew, D., Ma, W., Mehta, R., Kim, D., Warner, E., & Joshi, A. (2022). The mental health burden of racial and ethnic minorities during the COVID-19 pandemic. Plos one.
Fidon, L., Aertsen, M., Kofler, F., Bink, A., David, A., Deprest, T., Emam, D., Guffens, F., Jakab, A., & Kasprian, G. (2022). A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation. arXiv preprint arXiv:2204.02779.
Kujawa, A., Dorent, R., Connor, S., Oviedova, A., Okasha, M., Grishchuk, D., Ourselin, S., Paddick, I., Kitchen, N., & Vercauteren, T. (2022). Automated Koos classification of Vestibular Schwannoma. Frontiers in Radiology.
Nguyen, L., Joshi, A., Drew, D., Merino, J., Ma, W., Lo, C., Kwon, S., Wang, K., Graham, M., & Polidori, L. (2022). Self-reported COVID-19 vaccine hesitancy and uptake among participants from different racial and ethnic groups in the United States and United Kingdom. Nature communications.
Accorroni, A., Fraser, M., Walsh, P., O'Connor, A., Cardoso, M., Fox, N., Sudre, C., & Ryan, N. (2022). Increased white matter hyperintensity burden on MRI in autosomal dominant familial compared to young onset sporadic Alzheimer’s disease.. Alzheimer's Association International Conference.
Mufti, N., Chappell, J., Aertsen, M., Ebner, M., Fidon, L., Gaunt, T., Pegoretti Baruteau, K., Sokolska, M., Bredaki, F., & Kendall, G. (2022). Assessment of Brain Development using Super-Resolution MRI Following Fetal Surgery for Spina Bifida. .
Molteni, E., Canas, L., Kläser, K., Deng, J., Bhopal, S., Hughes, R., Chen, L., Murray, B., Kerfoot, E., & Antonelli, M. (2022). Vaccination against SARS-cov-2 in UK school-aged children and young people decreases infection rates and reduces COVID-19 symptoms. medRxiv.
Antonelli, M., Pujol, J., Spector, T., Ourselin, S., & Steves, C. (2022). Ursula Bellugi. LANCET.
Huo, J., Chen, L., Liu, Y., Boels, M., Granados, A., Ourselin, S., & Sparks, R. (2022). MAPPING: Model Average with Post-processing for Stroke Lesion Segmentation. arXiv preprint arXiv:2211.15486.
Lucena, O., Borges, P., Cardoso, J., Ashkan, K., Sparks, R., & Ourselin, S. (2022). Informative and Reliable Tract Segmentation for Preoperative Planning. Frontiers in Radiology.
Alim-Marvasti, A., Romagnoli, G., Dahele, K., Modarres, H., Pérez-García, F., Sparks, R., Ourselin, S., Clarkson, M., Chowdhury, F., & Diehl, B. (2022). BRAIN COMMUNICATIONS AIN COMMUNICATIONS. .
McCarthy, J., Borroni, B., Sanchez‐Valle, R., Moreno, F., Laforce Jr, R., Graff, C., Synofzik, M., Galimberti, D., Rowe, J., & Masellis, M. (2022). Data‐driven staging of genetic frontotemporal dementia using multi‐modal MRI. Human brain mapping.
Lazaridis, G., Montesano, G., Afgeh, S., Mohamed-Noriega, J., Ourselin, S., Lorenzi, M., & Garway-Heath, D. (2022). Predicting visual fields from optical coherence tomography via an ensemble of deep representation learners. American journal of ophthalmology.
Nelson, A., Russell, L., Peakman, G., Convery, R., Bouzigues, A., Greaves, C., Bocchetta, M., Cash, D., van Swieten, J., & Jiskoot, L. (2022). The CBI‐R detects early behavioural impairment in genetic frontotemporal dementia. Annals of Clinical and Translational Neurology.
Coath, W., Modat, M., Cardoso, M., Markiewicz, P., Lane, C., Parker, T., Keshavan, A., Buchanan, S., Keuss, S., & Harris, M. (2022). Methodology dependent sex differences in Aβ-PET measured with SUVR. Alzheimer's Association International Conference.
Wilke, C., Reich, S., van Swieten, J., Borroni, B., Sanchez‐Valle, R., Moreno, F., Laforce, R., Graff, C., Galimberti, D., & Rowe, J. (2022). Stratifying the presymptomatic phase of genetic frontotemporal dementia by serum NfL and pNfH: a longitudinal multicentre study. Annals of neurology.
Benussi, A., Alberici, A., Samra, K., Russell, L., Greaves, C., Bocchetta, M., Ducharme, S., Finger, E., Fumagalli, G., & Galimberti, D. (2022). Conceptual framework for the definition of preclinical and prodromal frontotemporal dementia. Alzheimer's & Dementia.
Molteni, E., Canas, L., Kläser, K., Deng, J., Bhopal, S., Hughes, R., Chen, L., Murray, B., Kerfoot, E., & Antonelli, M. (2022). Post-vaccination infection rates and modification of COVID-19 symptoms in vaccinated UK school-aged children and adolescents: A prospective longitudinal cohort study. The Lancet Regional Health-Europe.
Kujawa, A., Dorent, R., Connor, S., Thomson, S., Ivory, M., Vahedi, A., Guilhem, E., Bradford, R., Kitchen, N., & Bisdas, S. (2022). Deep Learning for Automatic Segmentation of Vestibular Schwannoma: A Retrospective Study from Multi-Centre Routine MRI. medRxiv.
Galati, F., Ourselin, S., & Zuluaga, M. (2022). From accuracy to reliability and robustness in cardiac magnetic resonance image segmentation: a review. Applied Sciences.
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Nelson, A., Gray, R., Ruffle, J., Watkins, H., Herron, D., Sorros, N., Mikhailov, D., Cardoso, M., Ourselin, S., & McNally, N. (2022). Deep forecasting of translational impact in medical research. Patterns.
Cai, Y., Ahmad, M., Ourak, M., Li, R., Niu, K., Vercauteren, T., Ourselin, S., Deprest, J., & Vander Poorten, E. (2022). 3D Reconstruction of Local Anatomy based on 2D Ultrasound for Fetal Laser Surgery. 11th Conference on New Technologies for Computer and Robot Assisted Surgery, Date: 2022/04/25-2022/04/27, Location: Napoli, Italy.
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Pinaya, W., Tudosiu, P., Dafflon, J., Da Costa, P., Fernandez, V., Nachev, P., Ourselin, S., & Cardoso, M. (2022). Brain imaging generation with latent diffusion models. Deep Generative Models: Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings.
Penfold, R., Zazzara, M., Österdahl, M., Welch, C., Ni Lochlainn, M., Freidin, M., Bowyer, R., Thompson, E., Antonelli, M., & Tan, Y. (2022). Individual Factors Including Age, BMI, and Heritable Factors Underlie Temperature Variation in Sickness and in Health: An Observational, Multi-cohort Study. The Journals of Gerontology: Series A.
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Zhao, T., Zhang, M., Ourselin, S., & Xia, W. (2022). Wavefront Shaping-Assisted Forward-Viewing Photoacoustic Endomicroscopy Based on a Transparent Ultrasound Sensor. Applied Sciences.
Mufti, N., Chappel, J., Aertsen, M., Ebner, M., Fidon, L., Gaunt, T., Pegoretti Baruteau, K., Sokolska, M., Bredaki, F., & Kendall, G. (2022). Longitudinal Shape and Volume Analysis of the Fetal Brain in the context of Fetal Spina Bifida Surgery. .
Mathews, S., Shakir, D., Mosse, C., Xia, W., Zhang, E., Beard, P., West, S., David, A., Ourselin, S., & Vercauteren, T. (2022). Ultrasonic needle tracking with dynamic electronic focusing. Ultrasound in Medicine & Biology.
Huo, J., Vakharia, V., Wu, C., Sharan, A., Ko, A., Ourselin, S., & Sparks, R. (2022). Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder. Simulation and Synthesis in Medical Imaging: 7th International Workshop, SASHIMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings.
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Vakharia, V., Sparks, R., Granados, A., Miserocchi, A., McEvoy, A., Ourselin, S., & Duncan, J. (2022). Conclusions: We provide spatial priors for common SEEG trajectories that prospectively integrate clinically feasible trajectory planning practices from previous. The Changing Face of Epilepsy Surgery: Contributions of Computational Neuroscience and Robotics to the Field.
Gruijthuijsen, C., Garcia-Peraza-Herrera, L., Borghesan, G., Reynaerts, D., Deprest, J., Ourselin, S., Vercauteren, T., & Vander Poorten, E. (2022). Robotic endoscope control via autonomous instrument tracking. Frontiers in Robotics and AI.
Budd, C., Garcia-Peraza Herrera, L., Huber, M., Ourselin, S., & Vercauteren, T. (2022). Rapid and robust endoscopic content area estimation: a lean GPU-based pipeline and curated benchmark dataset. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization.
Nderitu, P., Nunez do Rio, J., Webster, M., Mann, S., Hopkins, D., Cardoso, M., Modat, M., Bergeles, C., & Jackson, T. (2022). Automated image curation in diabetic retinopathy screening using deep learning. Scientific Reports.
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Ghazi, M., Sørensen, L., Ourselin, S., & Nielsen, M. (2022). CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data. IEEE Transactions on Neural Networks and Learning Systems.
Graham, M., May, A., Varsavsky, T., Sudre, C., Murray, B., Kläser, K., Antonelli, M., Canas, L., Molteni, E., & Modat, M. (2022). Knowledge barriers in a national symptomatic-COVID-19 testing programme. PLOS Global Public Health.
Antonelli, M., Pujol, J., Spector, T., Ourselin, S., & Steves, C. (2022). Risk of long COVID associated with delta versus omicron variants of SARS-CoV-2. The Lancet.
Orbes-Arteaga, M., Varsavsky, T., Sorensen, L., Nielsen, M., Pai, A., Ourselin, S., Modat, M., & Cardoso, M. (2022). Augmentation based unsupervised domain adaptation. arXiv preprint arXiv:2202.11486.
Patel, A., Tudosiu, P., Pinaya, W., Cook, G., Goh, V., Ourselin, S., & Cardoso, M. (2022). Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. Deep Generative Models: Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings.
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Pinaya, W., Graham, M., Gray, R., Da Costa, P., Tudosiu, P., Wright, P., Mah, Y., MacKinnon, A., Teo, J., & Jager, R. (2022). Fast unsupervised brain anomaly detection and segmentation with diffusion models. Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VIII.
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Graham, M., Pinaya, W., Tudosiu, P., Nachev, P., Ourselin, S., & Cardoso, M. (2022). Denoising Diffusion Models for Out-of-Distribution Detection. arXiv preprint arXiv:2211.07740.
Joyeux, L., Basurto, D., Bleeser, T., Van der Veeken, L., Vergote, S., Kunpalin, Y., Trigo, L., Corno, E., De Bie, F., & De Coppi, P. (2022). Fetoscopic insufflation of heated‐humidified carbon dioxide during simulated spina bifida repair is safe under controlled anesthesia in the fetal lamb. Prenatal Diagnosis.
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Zhao, T., Ourselin, S., Vercauteren, T., & Xia, W. (2022). Miniaturized transparent ultrasound sensor for photoacoustic endoscopy. Photons Plus Ultrasound: Imaging and Sensing 2022.
Sobotka, D., Ebner, M., Schwartz, E., Nenning, K., Taymourtash, A., Vercauteren, T., Ourselin, S., Kasprian, G., Prayer, D., & Langs, G. (2022). Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data. NeuroImage.
Canas, L., Molteni, E., Deng, J., Sudre, C., Murray, B., Kerfoot, E., Antonelli, M., Chen, L., Rjoob, K., & Pujol, J. (2022). Profiling post-COVID syndrome across different variants of SARS-CoV-2. medRxiv.
Pinaya, W., Tudosiu, P., Gray, R., Rees, G., Nachev, P., Ourselin, S., & Cardoso, M. (2022). Unsupervised brain imaging 3d anomaly detection and segmentation with transformers. Medical Image Analysis.
Luo, X., Wang, G., Song, T., Zhang, J., Aertsen, M., Deprest, J., Ourselin, S., Vercauteren, T., & Zhang, S. (2021). MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning. Medical image analysis.
Granados, A., Perez-Garcia, F., Schweiger, M., Vakharia, V., Vos, S., Miserocchi, A., McEvoy, A., Duncan, J., Sparks, R., & Ourselin, S. (2021). A generative model of hyperelastic strain energy density functions for multiple tissue brain deformation. International Journal of Computer Assisted Radiology and Surgery.
Pérez-García, F., Scott, C., Sparks, R., Diehl, B., & Ourselin, S. (2021). Correction to: Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures. Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part V 24.
Zhao, T., Ourselin, S., Vercauteren, T., & Xia, W. (2021). High-speed photoacoustic-guided wavefront shaping with a real-valued intensity transmission matrix. European Conference on Biomedical Optics.
Mazidii, M., Leeming, E., Merino, J., Nguyen, L., Selvachandran, S., Maher, T., Kadé, K., Murray, B., Graham, M., & Sudre, C. (2021). Impact of COVID-19 on health behaviours and body weight: a prospective observational study in a cohort of 1.1 million UK and US individuals. .
Wiesenfarth, M., Reinke, A., Landman, B., Eisenmann, M., Saiz, L., Cardoso, M., Maier-Hein, L., & Kopp-Schneider, A. (2021). Methods and open-source toolkit for analyzing and visualizing challenge results. Scientific reports.
Shaw, R., Sudre, C., Ourselin, S., Cardoso, M., & Pemberton, H. (2021). A decoupled uncertainty model for mri segmentation quality estimation. arXiv preprint arXiv:2109.02413.
Zhao, T., Ourselin, S., Vercauteren, T., & Xia, W. (2021). Multimode fibre-based optical-resolution photoacoustic endo-microscopy with a real-valued intensity transmission matrix. European Conference on Biomedical Optics.
Antonelli, M., Penfold, R., Merino, J., Sudre, C., Molteni, E., Berry, S., Canas, L., Graham, M., Klaser, K., & Modat, M. (2021). Post-vaccination SARS-CoV-2 infection: risk factors and illness profile in a prospective, observational community-based case-control study. medRxiv.
Bocchetta, M., Todd, E., Peakman, G., Cash, D., Convery, R., Russell, L., Thomas, D., Iglesias, J., van Swieten, J., & Jiskoot, L. (2021). Differential early subcortical involvement in genetic FTD within the GENFI cohort. NeuroImage: Clinical.
Lee, K., Ma, W., Sikavi, D., Drew, D., Nguyen, L., Bowyer, R., Cardoso, M., Fall, T., Freidin, M., & Gomez, M. (2021). Cancer and risk of COVID‐19 through a general community survey. The oncologist.
Shapey, J., Kujawa, A., Dorent, R., Saeed, S., Kitchen, N., Obholzer, R., Ourselin, S., Vercauteren, T., & Thomas, N. (2021). Artificial intelligence opportunities for vestibular schwannoma management using image segmentation and clinical decision tools. World neurosurgery.
Kennedy, B., Fitipaldi, H., Hammar, U., Maziarz, M., Tsereteli, N., Oskolkov, N., Varotsis, G., Franks, C., Spiliopoulos, L., & Adami, H. (2021). App-based COVID-19 surveillance and prediction: The COVID Symptom Study Sweden (preprint). .
Pérez-García, F., Scott, C., Sparks, R., Diehl, B., & Ourselin, S. (2021). Transfer learning of deep spatiotemporal networks to model arbitrarily long videos of seizures. Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part V 24.
Fidon, L., Aertsen, M., Emam, D., Mufti, N., Guffens, F., Deprest, T., Demaerel, P., David, A., Melbourne, A., & Ourselin, S. (2021). Label-set loss functions for partial supervision: application to fetal brain 3D MRI parcellation. Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part II 24.
Kunpalin, Y., Subramaniam, S., Perin, S., Gerli, M., Bosteels, J., Ourselin, S., Deprest, J., De Coppi, P., & David, A. (2021). Preclinical stem cell therapy in fetuses with myelomeningocele: A systematic review and meta‐analysis. Prenatal diagnosis.
Pérez-García, F., Dorent, R., Rizzi, M., Cardinale, F., Frazzini, V., Navarro, V., Essert, C., Ollivier, I., Vercauteren, T., & Sparks, R. (2021). A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections. International Journal of Computer Assisted Radiology and Surgery.
Zhao, T., Ma, M., Ourselin, S., Vercauteren, T., & Xia, W. (2021). Video-rate dual-modal forward-viewing photoacoustic and fluorescence endo-microscopy through a multimode fibre. arXiv preprint arXiv:2104.13226.
Fyles, M., Vihta, K., Sudre, C., Long, H., Das, R., Jay, C., Wingfield, T., Cumming, F., Green, W., & Hadjipantelis, P. (2021). Diversity of symptom phenotypes in SARS-CoV-2 community infections observed in multiple large datasets (preprint). .
Vakharia, V., Vos, S., Winston, G., Gutman, M., Wykes, V., McEvoy, A., Miserocchi, A., Sparks, R., Ourselin, S., & Duncan, J. (2021). Intraoperative overlay of optic radiation tractography during anteromesial temporal resection: a prospective validation study. Journal of Neurosurgery.
Fidon, L., Ourselin, S., & Vercauteren, T. (2021). Generalized wasserstein dice score, distributionally robust deep learning, and ranger for brain tumor segmentation: BraTS 2020 challenge. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers, Part II 6.
Mehta, P., Antonelli, M., Singh, S., Grondecka, N., Johnston, E., Ahmed, H., Emberton, M., Punwani, S., & Ourselin, S. (2021). AutoProstate: towards automated reporting of prostate MRI for prostate cancer assessment using deep learning. Cancers.
Louca, P., Murray, B., Klaser, K., Graham, M., Mazidi, M., Leeming, E., Thompson, E., Bowyer, R., Drew, D., & Nguyen, L. (2021). Modest effects of dietary supplements during the COVID-19 pandemic: insights from 445 850 users of the COVID-19 Symptom Study app. BMJ nutrition, prevention & health.
Albarqouni, S., Cardoso, M., Dou, Q., Kamnitsas, K., Khanal, B., Rekik, I., Rieke, N., Sheet, D., Tsaftaris, S., & Xu, D. (2021). Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health: Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. .
Mufti, N., Ebner, M., Patel, P., Aertsen, M., Gaunt, T., Humphries, P., Bredaki, F., Hewitt, R., Butler, C., & Sokolska, M. (2021). Super-resolution reconstruction MRI application in fetal neck masses and congenital high airway obstruction syndrome. OTO open.
Everson, M., Garcia-Peraza-Herrera, L., Wang, H., Lee, C., Chung, C., Hsieh, P., Chen, C., Tseng, C., Hsu, M., & Vercauteren, T. (2021). A clinically interpretable convolutional neural network for the real-time prediction of early squamous cell cancer of the esophagus: comparing diagnostic performance with a panel of expert European and Asian endoscopists. Gastrointestinal Endoscopy.
Borges, P., Shaw, R., Varsavsky, T., Klaser, K., Thomas, D., Drobnjak, I., Ourselin, S., & Jorge Cardoso, M. (2021). The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties. Simulation and Synthesis in Medical Imaging: 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings 6.
Hopkinson, N., Rossi, N., El-Sayed_Moustafa, J., Laverty, A., Quint, J., Freidin, M., Visconti, A., Murray, B., Modat, M., & Ourselin, S. (2021). Current smoking and COVID-19 risk: results from a population symptom app in over 2.4 million people. Thorax.
Joyeux, L., van der Merwe, J., Aertsen, M., Patel, P., Khatoun, A., da Cunha, M., De Vleeschauwer, S., Parra, J., Danzer, E., & Mc Laughlin, M. (2021). 82 Neuroprotection is improved by watertightness of spina bifida repair in the fetal lamb. American Journal of Obstetrics & Gynecology.
Zhao, T., Ourselin, S., Vercauteren, T., & Xia, W. (2021). Focusing light through multimode fibres using a digital micromirror device: a comparison study of non-holographic approaches. Optics express.
Molteni, E., Astley, C., Ma, W., Sudre, C., Magee, L., Murray, B., Fall, T., Gomez, M., Tsereteli, N., & Franks, P. (2021). Symptoms and syndromes associated with SARS-CoV-2 infection and severity in pregnant women from two community cohorts. Scientific reports.
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Graham, M., Sudre, C., May, A., Antonelli, M., Murray, B., Varsavsky, T., Kläser, K., Canas, L., Molteni, E., & Modat, M. (2021). Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B. 1.1. 7: an ecological study. The Lancet Public Health.
Graham, M., Sudre, C., Spector, T., Molteni, E., Ourselin, S., Steves, C., Modat, M., Klaser, K., Canas, L., & Antonelli, M. (2021). Anosmia and other SARS-CoV-2 positive test-associated symptoms, across three national, digital surveillance platforms as the COVID-19 pandemic and response unfolded: an observation study. The Lancet Digital Health.
Sudre, C., Cardoso, M., Ourselin, S., & Rohrer, J. (2021). Method and apparatus for transforming physical measurement data of a biological organ. .
Ebner, M., Nabavi, E., Shapey, J., Xie, Y., Liebmann, F., Spirig, J., Hoch, A., Farshad, M., Saeed, S., & Bradford, R. (2021). Intraoperative hyperspectral label-free imaging: from system design to first-in-patient translation. Journal of Physics D: Applied Physics.
Reinke, A., Tizabi, M., Sudre, C., Eisenmann, M., Rädsch, T., Baumgartner, M., Acion, L., Antonelli, M., Arbel, T., & Bakas, S. (2021). Common limitations of image processing metrics: A picture story. arXiv preprint arXiv:2104.05642.
Mehta, P., Antonelli, M., Ahmed, H., Emberton, M., Punwani, S., & Ourselin, S. (2021). Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework. Medical image analysis.
Schirmer, M., Venkataraman, A., Rekik, I., Kim, M., Mostofsky, S., Nebel, M., Rosch, K., Seymour, K., Crocetti, D., & Irzan, H. (2021). Neuropsychiatric disease classification using functional connectomics-results of the connectomics in neuroimaging transfer learning challenge. Medical image analysis.
Zhao, T., Ourselin, S., Vercauteren, T., & Xia, W. (2021). High-speed photoacoustic-guided wavefront shaping for focusing light in scattering media. Optics Letters.
Mazidi, M., Leeming, E., Merino, J., Nguyen, L., Selvachandran, S., Pujal, J., Maher, T., Kadé, K., Murray, B., & Graham, M. (2021). Diet and lifestyle behaviour disruption related to the pandemic was varied and bidirectional among US and UK adults participating in the ZOE COVID Study. Nature Food.
Bowyer, R., Varsavsky, T., Thompson, E., Sudre, C., Murray, B., Freidin, M., Yarand, D., Ganesh, S., Capdevila, J., & Bakker, E. (2021). Geo-social gradients in predicted COVID-19 prevalence in Great Britain: results from 1 960 242 users of the COVID-19 Symptoms Study app. Thorax.
Laura, C., Cardoso, M., Rosen-Zvi, M., Kaissis, G., Linguraru, M., Shekhar, R., Wesarg, S., Erdt, M., Drechsler, K., & Chen, Y. (2021). Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning: 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. .
Penfold, R., Zazzara, M., Osterdahl, M., GSTT CovidCollaborative, ., Welch, C., Lochlainn, M., Freidin, M., Bowyer, R., Thompson, E., & Antonelli, M. (2021). Individual factors underlie temperature variation in sickness and in health: influence of age, BMI and genetic factors in a multi-cohort study. medRxiv.
Shaw, R., Sudre, C., Ourselin, S., Cardoso, M., & Pemberton, H. (2021). A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality. Machine Learning for Biomedical Imaging.
Garcia-Peraza-Herrera, L., Fidon, L., D’Ettorre, C., Stoyanov, D., Vercauteren, T., & Ourselin, S. (2021). Image compositing for segmentation of surgical tools without manual annotations. IEEE transactions on medical imaging.
Zhao, T., Ma, M., Ourselin, S., Vercauteren, T., & Xia, W. (2021). Towards ultrathin fiber-optic probe for simultaneous photoacoustic and fluorescence endoscopy. 2021 IEEE International Ultrasonics Symposium (IUS).
Poos, J., Russell, L., Peakman, G., Bocchetta, M., Greaves, C., Jiskoot, L., van der Ende, E., Seelaar, H., Papma, J., & van den Berg, E. (2021). Impairment of episodic memory in genetic frontotemporal dementia: a GENFI study. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring.
Syer, T., Mehta, P., Antonelli, M., Mallett, S., Atkinson, D., Ourselin, S., & Punwani, S. (2021). Artificial intelligence compared to radiologists for the initial diagnosis of prostate cancer on magnetic resonance imaging: a systematic review and recommendations for future studies. Cancers.
Zeidan, A., Gilliland, P., Patel, A., Ou, Z., Flouri, D., Mufti, N., Maksym, K., Aughwane, R., Ourselin, S., & David, A. (2021). Texture-Based Analysis of Fetal Organs in Fetal Growth Restriction. Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis: 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings 3.
Vrenken, H., Jenkinson, M., Pham, D., Guttmann, C., Pareto, D., Paardekooper, M., de Sitter, A., Rocca, M., Wottschel, V., & Cardoso, M. (2021). Opportunities for understanding MS mechanisms and progression with MRI using large-scale data sharing and artificial intelligence. Neurology.
Brusaferri, L., Emond, E., Bousse, A., Twyman, R., Whitehead, A., Atkinson, D., Ourselin, S., Hutton, B., Arridge, S., & Thielemans, K. (2021). Detection efficiency modeling and joint activity and attenuation reconstruction in non-TOF 3-D PET from multiple-energy window data. IEEE Transactions on Radiation and Plasma Medical Sciences.
Sudre, C., Murray, B., Varsavsky, T., Graham, M., Penfold, R., Bowyer, R., Pujol, J., Klaser, K., Antonelli, M., & Canas, L. (2021). Author Correction: Attributes and predictors of long COVID. Nature Medicine.
Malpetti, M., Jones, P., Tsvetanov, K., Rittman, T., van Swieten, J., Borroni, B., Sanchez‐Valle, R., Moreno, F., Laforce, R., & Graff, C. (2021). Apathy in presymptomatic genetic frontotemporal dementia predicts cognitive decline and is driven by structural brain changes. Alzheimer's & Dementia.
Shapey, J., Dowrick, T., Delaunay, R., Mackle, E., Thompson, S., Janatka, M., Guichard, R., Georgoulas, A., Pérez-Suárez, D., & Bradford, R. (2021). Integrated multi-modality image-guided navigation for neurosurgery: open-source software platform using state-of-the-art clinical hardware. International journal of computer assisted radiology and surgery.
Joyeux, L., Javaux, A., Eastwood, M., De Bie, F., Van den Bergh, G., Degliuomini, R., Vergote, S., Micheletti, T., Callewaert, G., & Ourselin, S. (2021). Validation of a high-fidelity training model for fetoscopic spina bifida surgery. Scientific reports.
Menni, C., Klaser, K., May, A., Polidori, L., Capdevila, J., Louca, P., Sudre-Ferraris, C., Nguyen, L., Drew, D., & Merino, J. (2021). Vaccine after Effects and Post-Vaccine Infection in a Real World Setting: Results from the COVID Symptom Study App. .
Zhao, T., Ourselin, S., Vercauteren, T., & Xia, W. (2021). Ultrathin Endoscopy Probe for Simultaneous Photoacoustic and Fluorescence Microscopy. Photonics and Electromagnetics Research Symposium 2021.
Dorent, R., Booth, T., Li, W., Sudre, C., Kafiabadi, S., Cardoso, J., Ourselin, S., & Vercauteren, T. (2021). Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets. Medical image analysis.
Markiewicz, P., Matthews, J., Ashburner, J., Cash, D., Thomas, D., De Vita, E., Barnes, A., Cardoso, M., Modat, M., & Brown, R. (2021). Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging. NeuroImage.
Varsavsky, T., Graham, M., Canas, L., Ganesh, S., Pujol, J., Sudre, C., Murray, B., Modat, M., Cardoso, M., & Astley, C. (2021). Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational study. The Lancet Public Health.
Granados, A., Han, Y., Lucena, O., Vakharia, V., Rodionov, R., Vos, S., Miserocchi, A., McEvoy, A., Duncan, J., & Sparks, R. (2021). Patient-specific prediction of SEEG electrode bending for stereotactic neurosurgical planning. International Journal of Computer Assisted Radiology and Surgery.
Burgos, N., Cardoso, M., Samper-González, J., Habert, M., Durrleman, S., Ourselin, S., Colliot, O., Disease Neuroimaging Initiative, f., & Degeneration Neuroimaging Initiative, t. (2021). Anomaly detection for the individual analysis of brain PET images. Journal of Medical Imaging.
Lo, C., Nguyen, L., Drew, D., Warner, E., Joshi, A., Graham, M., Anyane-Yeboa, A., Shebl, F., Astley, C., & Figueiredo, J. (2021). Race, ethnicity, community-level socioeconomic factors, and risk of COVID-19 in the United States and the United Kingdom. EClinicalMedicine.
Costeira, R., Lee, K., Murray, B., Christiansen, C., Castillo-Fernandez, J., Ni Lochlainn, M., Capdevila Pujol, J., Macfarlane, H., Kenny, L., & Buchan, I. (2021). Estrogen and COVID-19 symptoms: associations in women from the COVID Symptom Study. PLoS One.
Pérez-García, F., Sparks, R., & Ourselin, S. (2021). TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning. Computer Methods and Programs in Biomedicine.
Bonkhoff, A., Xu, T., Nelson, A., Gray, R., Jha, A., Cardoso, J., Ourselin, S., Rees, G., Jäger, H., & Nachev, P. (2021). Reclassifying stroke lesion anatomy. cortex.
Lazaridis, G., Lorenzi, M., Ourselin, S., & Garway-Heath, D. (2021). Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networks. Medical Image Analysis.
Penfold, R., Zazzara, M., Roberts, A., Lee, K., Dooley, H., Sudre, C., Welch, C., Bowyer, R., Visconti, A., & Mangino, M. (2021). 144 Probable Delirium is A Presenting Symptom of COVID-19 in Frail, Older Adults: A Study of Hospitalised and Community-Based Cohorts. Age and Ageing.
Mehdipour Ghazi, M., Sørensen, L., Ourselin, S., & Nielsen, M. (2021). CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data. arXiv e-prints.
Sudre, C., Lee, K., Ni Lochlainn, M., Varsavsky, T., Murray, B., Graham, M., Menni, C., Modat, M., Bowyer, R., & Nguyen, L. (2021). Symptom clusters in COVID-19: A potential clinical prediction tool from the COVID Symptom Study app. Science advances.
Komninos, C., Pissas, T., Flores, B., Bloch, E., Vercauteren, T., Ourselin, S., Da Cruz, L., & Bergeles, C. (2021). Intra-operative oct (ioct) image quality enhancement: a super-resolution approach using high quality ioct 3d scans. Ophthalmic Medical Image Analysis: 8th International Workshop, OMIA 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings 8.
Shapey, J., Kujawa, A., Dorent, R., Wang, G., Dimitriadis, A., Grishchuk, D., Paddick, I., Kitchen, N., Bradford, R., & Saeed, S. (2021). Segmentation of vestibular schwannoma from MRI, an open annotated dataset and baseline algorithm. Scientific Data.
Dorent, R., Joutard, S., Shapey, J., Kujawa, A., Modat, M., Ourselin, S., & Vercauteren, T. (2021). Inter extreme points geodesics for end-to-end weakly supervised image segmentation. Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part II 24.
Antonelli, M., Capdevila, J., Chaudhari, A., Granerod, J., Canas, L., Graham, M., Klaser, K., Modat, M., Molteni, E., & Murray, B. (2021). Optimal symptom combinations to aid COVID-19 case identification: Analysis from a community-based, prospective, observational cohort. Journal of infection.
Graham, M., May, A., Varsavsky, T., Sudre, C., Murray, B., Kläser, K., Antonelli, M., Canas, L., Molteni, E., & Modat, M. (2021). Knowledge barriers in the symptomatic-COVID-19 testing programme in the UK: an observational study. MedRxiv.
Lucena, O., Vos, S., Vakharia, V., Duncan, J., Ashkan, K., Sparks, R., & Ourselin, S. (2021). Enhancing the estimation of fiber orientation distributions using convolutional neural networks. Computers in Biology and Medicine.
Fidon, L., Viola, E., Mufti, N., David, A., Melbourne, A., Demaerel, P., Ourselin, S., Vercauteren, T., Deprest, J., & Aertsen, M. (2021). A spatio-temporal atlas of the developing fetal brain wit h spina bifida aperta [version 1; peer review: 1 approved]. .
Kläser, K., Varsavsky, T., Markiewicz, P., Vercauteren, T., Hammers, A., Atkinson, D., Thielemans, K., Hutton, B., Cardoso, M., & Ourselin, S. (2021). Imitation learning for improved 3D PET/MR attenuation correction. Medical image analysis.
Byrne, M., Aughwane, R., James, J., Hutchinson, J., Arthurs, O., Sebire, N., Ourselin, S., David, A., Melbourne, A., & Clark, A. (2021). Structure-function relationships in the feto-placental circulation from in silico interpretation of micro-CT vascular structures. Journal of theoretical biology.
Molteni, E., Sudre, C., Canas, L., Bhopal, S., Hughes, R., Antonelli, M., Murray, B., Klaser, K., Kerfoot, E., & Chen, L. (2021). Illness duration and symptom profile in a large cohort of symptomatic UK school-aged children tested for SARS-CoV-2 (preprint). .
Mufti, N., Aertsen, M., Ebner, M., Fidon, L., Patel, P., Rahman, M., Brackenier, Y., Ekart, G., Fernandez, V., & Vercauteren, T. (2021). Cortical spectral matching and shape and volume analysis of the fetal brain pre-and post-fetal surgery for spina bifida: a retrospective study. Neuroradiology.
Pålhaugen, L., Sudre, C., Tecelao, S., Nakling, A., Almdahl, I., Kalheim, L., Cardoso, M., Johnsen, S., Rongve, A., & Aarsland, D. (2021). Brain amyloid and vascular risk are related to distinct white matter hyperintensity patterns. Journal of Cerebral Blood Flow & Metabolism.
Sudre, C., Keshet, A., Graham, M., Joshi, A., Shilo, S., Rossman, H., Murray, B., Molteni, E., Klaser, K., & Canas, L. (2021). Anosmia, ageusia, and other COVID-19-like symptoms in association with a positive SARS-CoV-2 test, across six national digital surveillance platforms: an observational study. The Lancet Digital Health.
Silva, M., Sudre, C., Garcia, K., Bass, C., Cardoso, M., & Robinson, E. (2021). Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks. Machine Learning in Clinical Neuroimaging: 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings 4.
Zazzara, M., Penfold, R., Roberts, A., Lee, K., Dooley, H., Sudre, C., Welch, C., Bowyer, R., Visconti, A., & Mangino, M. (2021). Probable delirium is a presenting symptom of COVID-19 in frail, older adults: a cohort study of 322 hospitalised and 535 community-based older adults. Age and ageing.
Borges, P., Shaw, R., Varsavsky, T., Klaser, K., Thomas, D., Drobnjak, I., Ourselin, S., & Cardoso, M. (2021). Acquisition-invariant brain MRI segmentation with informative uncertainties. arXiv preprint arXiv:2111.04094.
Klaser, K., Thompson, E., Nguyen, L., Sudre, C., Antonelli, M., Murray, B., Canas, L., Molteni, E., Graham, M., & Kerfoot, E. (2021). Anxiety and depression symptoms after COVID-19 infection: results from the COVID Symptom Study app (preprint). .
Vakharia, V., Rodionov, R., Miserocchi, A., McEvoy, A., O’Keeffe, A., Granados, A., Shapoori, S., Sparks, R., Ourselin, S., & Duncan, J. (2021). Comparison of robotic and manual implantation of intracerebral electrodes: a single-centre, single-blinded, randomised controlled trial. Scientific Reports.
Hütel, M., Antonelli, M., Melbourne, A., & Ourselin, S. (2021). Hemodynamic matrix factorization for functional magnetic resonance imaging. NeuroImage.
Siakallis, L., Sudre, C., Mulholland, P., Fersht, N., Rees, J., Topff, L., Thust, S., Jager, R., Cardoso, M., & Panovska-Griffiths, J. (2021). Longitudinal structural and perfusion MRI enhanced by machine learning outperforms standalone modalities and radiological expertise in high-grade glioma surveillance. Neuroradiology.
Klinge, T., Modat, M., McClelland, J., Dimitriadis, A., Paddick, I., Hopewell, J., Walton, L., Rowe, J., Kitchen, N., & Ourselin, S. (2021). The impact of unscheduled gaps and iso-centre sequencing on the biologically effective dose in Gamma Knife radiosurgery. Journal of Radiosurgery and SBRT.
Hopkinson, N., Rossi, N., El-Sayed Moustafa, J., Laverty, A., Quint, J., Freidin, M., Visconti, A., Murray, B., Modat, M., & Ourselin, S. (2021). Multiple, objectively measured sleep dimensions including hypoxic burden and chronic kidney disease: findings from the Multi-Ethnic Study of Atherosclerosis. Thorax.
Menni, C., Klaser, K., May, A., Polidori, L., Capdevila, J., Louca, P., Sudre, C., Nguyen, L., Drew, D., & Merino, J. (2021). Vaccine side-effects and SARS-CoV-2 infection after vaccination in users of the COVID Symptom Study app in the UK: a prospective observational study. The Lancet Infectious Diseases.
Baker, C., Xochicale, M., Joubert, F., Lin, F., Mathews, S., Shakir, D., Ourselin, S., David, A., Dromey, B., & Desjardins, A. (2021). Real-Time Ultrasonic Tracking of an Intraoperative Needle Tip with Integrated Fibre-Optic Hydrophone. 2021 IEEE International Ultrasonics Symposium (IUS).
Drew, D., Guo, C., Lee, K., Nguyen, L., Joshi, A., Lo, C., Ma, W., Mehta, R., Kwon, S., & Astley, C. (2021). Aspirin and NSAID use and the risk of COVID-19. medRxiv.
Sudre, C., Murray, B., Varsavsky, T., Graham, M., Penfold, R., Bowyer, R., Pujol, J., Klaser, K., Antonelli, M., & Canas, L. (2021). Attributes and predictors of long COVID. Nature medicine.
Dorent, R., Joutard, S., Shapey, J., Kujawa, A., Modat, M., Ourselin, S., & Vercauteren, T. (2021). Inter Extreme Points Geodesics for Weakly Supervised Segmentation. Medical Image Computing and Computer Assisted Intervention–MICCAI 2021.
Wilcox, M., Dos Santos Canas, L., Hargunani, R., Tidswell, T., Brown, H., Modat, M., Phillips, J., Ourselin, S., & Quick, T. (2021). Volumetric MRI is a promising outcome measure of muscle reinnervation. Scientific Reports.
Sparks, R., Ourselin, S., & Duncan, J. (2021). System and method for computer-assisted planning of a trajectory for a surgical insertion into a skull. .
Markiewicz, P., Da Costa-Luis, C., Dickson, J., Barnes, A., Krokos, G., MacKewn, J., Clark, T., Wimberley, C., MacNaught, G., & Yaqub, M. (2021). An Automated and High Precision Quantitative Analysis of the ACR Phantom. 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Kläser, K., Molteni, E., Graham, M., Canas, L., FÖsterdahl, M., Antonelli, M., Chen, L., Deng, J., Murray, B., & Kerfoot, E. (2021). COVID-19 due to the B. 1.617. 2 (Delta) variant compared to B. 1.1. 7 (Alpha) variant of SARS-CoV-2: Two prospective observational cohort studies. medRxiv.
Pemberton, H., Goodkin, O., Prados, F., Das, R., Vos, S., Moggridge, J., Coath, W., Gordon, E., Barrett, R., & Schmitt, A. (2021). Automated quantitative MRI volumetry reports support diagnostic interpretation in dementia: a multi-rater, clinical accuracy study. European Radiology.
Hutel, M. & Ourselin, S. (2021). Apparatus and method for analysing functional mri data. .
Canas, L., Sudre, C., Pujol, J., Polidori, L., Murray, B., Molteni, E., Graham, M., Klaser, K., Antonelli, M., & Berry, S. (2021). Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study. The Lancet Digital Health.
Merino, J., Joshi, A., Nguyen, L., Leeming, E., Mazidi, M., Drew, D., Gibson, R., Graham, M., Lo, C., & Capdevila, J. (2021). Diet quality and risk and severity of COVID-19: a prospective cohort study. Gut.
Molteni, E., Sudre, C., Canas, L., Bhopal, S., Hughes, R., Antonelli, M., Murray, B., Kläser, K., Kerfoot, E., & Chen, L. (2021). Illness duration and symptom profile in symptomatic UK school-aged children tested for SARS-CoV-2. The Lancet Child & Adolescent Health.
Menni, C., Klaser, K., May, A., Polidori, L., Capdevila, J., Louca, P., Sudre-Ferraris, C., Nguyen, L., Drew, D., & Merino, J. (2021). Vaccine after Effects and Post-Vaccine Infection in a Real World Setting: Results from the COVID Symptom Study App (preprint). .
Ghazi, M., Nielsen, M., Pai, A., Modat, M., Cardoso, M., Ourselin, S., & Sørensen, L. (2021). Robust parametric modeling of Alzheimer’s disease progression. NeuroImage.
Pinaya, W., Tudosiu, P., Gray, R., Rees, G., Nachev, P., Ourselin, S., & Cardoso, M. (2021). Unsupervised brain anomaly detection and segmentation with transformers. arXiv preprint arXiv:2102.11650.
Leon-Rojas, J., Iqbal, S., Vos, S., Rodionov, R., Miserocchi, A., McEvoy, A., Vakharia, V., Mancini, L., Galovic, M., & Sparks, R. (2021). Resection of the piriform cortex for temporal lobe epilepsy: a Novel approach on imaging segmentation and surgical application. British Journal of Neurosurgery.
Wilcox, M., Canas, L., Hargunani, R., Tidswell, T., Brown, H., Modat, M., Phillips, J., Ourselin, S., & Quick, T. (2021). Author Correction: Volumetric MRI is a promising outcome measure of muscle reinnervation. Scientific Reports.
Brudfors, M., Balbastre, Y., Ashburner, J., Rees, G., Nachev, P., Ourselin, S., & Cardoso, M. (2021). An MRF-UNet product of experts for image segmentation. Medical Imaging with Deep Learning.
Irzan, H., Molteni, E., Hütel, M., Ourselin, S., Marlow, N., & Melbourne, A. (2021). White matter analysis of the extremely preterm born adult brain. Neuroimage.
James, S., Nicholas, J., Lane, C., Parker, T., Lu, K., Keshavan, A., Buchanan, S., Keuss, S., Murray‐Smith, H., & Wong, A. (2021). A population‐based study of head injury, cognitive function and pathological markers. Annals of clinical and translational neurology.
Lopez Pinaya, W., Tudosiu, P., Gray, R., Rees, G., Nachev, P., Ourselin, S., & Cardoso, M. (2021). Unsupervised Brain Anomaly Detection and Segmentation with Transformers. arXiv e-prints.
Wiesenfarth, M., Reinke, A., Landman, B., Eisenmann, M., Saiz, L., Cardoso, M., Maier-Hein, L., & Kopp-Schneider, A. (2021). Author Correction: Methods and open-source toolkit for analyzing and visualizing challenge results. Scientific Reports.
Huber, M., Mitchell, J., Henry, R., Ourselin, S., Vercauteren, T., & Bergeles, C. (2021). Homography-based visual servoing with remote center of motion for semi-autonomous robotic endoscope manipulation. 2021 International Symposium on Medical Robotics (ISMR).
Aughwane, R., Mufti, N., Flouri, D., Maksym, K., Spencer, R., Sokolska, M., Kendall, G., Atkinson, D., Bainbridge, A., & Deprest, J. (2021). Magnetic resonance imaging measurement of placental perfusion and oxygen saturation in early‐onset fetal growth restriction. BJOG: An International Journal of Obstetrics & Gynaecology.
Granados, A., Sparks, R., & Ourselin, S. (2021). Method for identifying electrode contacts implanted into the brain of a subject. .
Shaw, R., Sudre, C., Ourselin, S., & Cardoso, M. (2021). Estimating MRI Image Quality via Image Reconstruction Uncertainty. arXiv preprint arXiv:2106.10992.
Klaser, K., Borges, P., Shaw, R., Ranzini, M., Modat, M., Atkinson, D., Thielemans, K., Hutton, B., Goh, V., & Cook, G. (2021). A multi-channel uncertainty-aware multi-resolution network for MR to CT synthesis. Applied Sciences.
Visconti, A., Bataille, V., Rossi, N., Kluk, J., Murphy, R., Puig, S., Nambi, R., Bowyer, R., Murray, B., & Bournot, A. (2021). Diagnostic value of cutaneous manifestation of SARS‐CoV‐2 infection. British journal of dermatology.
Kunpalin, Y., Richter, J., Mufti, N., Bosteels, J., Ourselin, S., De Coppi, P., Thompson, D., David, A., & Deprest, J. (2021). Cranial findings detected by second‐trimester ultrasound in fetuses with myelomeningocele: a systematic review. BJOG: An International Journal of Obstetrics & Gynaecology.
Canas, L., Österdahl, M., Deng, J., Hu, C., Selvachandran, S., Polidori, L., May, A., Molteni, E., Murray, B., & Chen, L. (2021). Disentangling post-vaccination symptoms from early COVID-19 (preprint). .
Albarqouni, S., Cardoso, M., Dou, Q., Kamnitsas, K., Rieke, N., Tsaftaris, S., Xu, D., & Xu, Z. (2021). Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health: Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
Mazidi, M., Leeming, E., Merino, J., Nguyen, H., Selvachandran, S., Maher, T., Murray, B., Wolf, J., Graham, M., & Sudre, C. (2021). Disruption of health behaviours by the COVID-19 pandemic; findings from 896,286 UK and US individuals in the ZOE COVID Study. Nature Food.
Klinge, T., Talbot, H., Paddick, I., Ourselin, S., McClelland, J., & Modat, M. (2021). Toward Semi-Automatic Biologically Effective Dose Treatment Planning for Gamma Knife Radiosurgery. MEDICAL PHYSICS.
Hazem, S., Awan, M., Lavrador, J., Patel, S., Wren, H., Lucena, O., Semedo, C., Irzan, H., Melbourne, A., & Ourselin, S. (2021). Middle frontal gyrus and area 55b: perioperative mapping and language outcomes. Frontiers in Neurology.
Groothuis, I., Sudre, C., Ingala, S., Barnes, J., Gispert, J., Sørensen, L., Pai, A., Nielsen, M., Ourselin, S., & Cardoso, M. (2021). Lesion-wise evaluation for effective performance monitoring of small object segmentation. Medical Imaging 2021: Image Processing.
Goodkin, O., Pemberton, H., Vos, S., Prados, F., Das, R., Moggridge, J., De Blasi, B., Bartlett, P., Williams, E., & Campion, T. (2021). Clinical evaluation of automated quantitative MRI reports for assessment of hippocampal sclerosis. European Radiology.
Kunpalin, Y., Deprest, J., Papastefanou, I., Bredaki, E., Sacco, A., Russo, F., Richter, J., Jansen, K., Ourselin, S., & De Coppi, P. (2021). Incidence and patterns of abnormal corpus callosum in fetuses with isolated spina bifida aperta. Prenatal diagnosis.
Ranzini, M., Fidon, L., Ourselin, S., Modat, M., & Vercauteren, T. (2021). MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation. arXiv preprint arXiv:2103.13314.
Lazaridis, G., Lorenzi, M., Mohamed-Noriega, J., Aguilar-Munoa, S., Suzuki, K., Nomoto, H., Ourselin, S., Garway-Heath, D., Crabb, D., & Bunce, C. (2021). OCT signal enhancement with deep learning. Ophthalmology Glaucoma.
Goodkin, O., Prados, F., Vos, S., Pemberton, H., Collorone, S., Hagens, M., Cardoso, M., Yousry, T., Thornton, J., & Sudre, C. (2021). FLAIR-only joint volumetric analysis of brain lesions and atrophy in clinically isolated syndrome (CIS) suggestive of multiple sclerosis. NeuroImage: Clinical.
Nguyen, L., Joshi, A., Drew, D., Merino, J., Ma, W., Lo, C., Kwon, S., Wang, K., Graham, M., & Polidori, L. (2021). Racial and ethnic differences in COVID-19 vaccine hesitancy and uptake. medrxiv.
Fiford, C., Sudre, C., Young, A., Macdougall, A., Nicholas, J., Manning, E., Malone, I., Walsh, P., Goodkin, O., & Pemberton, H. (2021). Presumed small vessel disease, imaging and cognition markers in the Alzheimer’s Disease Neuroimaging Initiative. Brain communications.
Canas, L., Österdahl, M., Deng, J., Hu, C., Selvachandran, S., Polidori, L., May, A., Molteni, E., Murray, B., & Chen, L. (2021). Disentangling post-vaccination symptoms from early COVID-19. EClinicalMedicine.
Alim-Marvasti, A., Pérez-García, F., Dahele, K., Romagnoli, G., Diehl, B., Sparks, R., Ourselin, S., Clarkson, M., & Duncan, J. (2021). Machine learning for localizing epileptogenic-zone in the temporal lobe: Quantifying the value of multimodal clinical-semiology and imaging concordance. Frontiers in Digital Health.
Benussi, A., Premi, E., Gazzina, S., Brattini, C., Bonomi, E., Alberici, A., Jiskoot, L., van Swieten, J., Sanchez-Valle, R., & Moreno, F. (2021). Progression of behavioral disturbances and neuropsychiatric symptoms in patients with genetic frontotemporal dementia. JAMA network open.
Bhakhri, K., Hyde, E., Mak, S., Berger, L., Ourselin, S., Routledge, T., & Billè, A. (2021). Surgeon knowledge of the pulmonary arterial system and surgical plan confidence is improved by interactive virtual 3D-CT models of lung cancer patient anatomies. Frontiers in Surgery.
Wilcox, M., Canas, L., Hargunani, R., Tidswell, T., Phillips, J., Modat, M., Ourselin, S., & Quick, T. (2021). 22 volumetric MRI; a potential outcome measure of muscle reinnervation. British Journal of Surgery.
Laureano, B., Irzan, H., Ourselin, S., Marlow, N., & Melbourne, A. (2021). Myelination of preterm brain networks at adolescence. Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis: 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings 3.
Kennedy, B., Fitipaldi, H., Hammar, U., Maziarz, M., Tsereteli, N., Oskolkov, N., Varotsis, G., Franks, C., Spiliopoulos, L., & Adami, H. (2021). App-based COVID-19 surveillance and prediction: the COVID Symptom Study Sweden. medRxiv.
Klaser, K., Thompson, E., Nguyen, L., Sudre, C., Antonelli, M., Murray, B., Canas, L., Molteni, E., Graham, M., & Kerfoot, E. (2021). Anxiety and depression symptoms after COVID-19 infection: results from the COVID Symptom Study app. Journal of Neurology, Neurosurgery & Psychiatry.
Fyles, M., Vihta, K., Sudre, C., Long, H., Das, R., Jay, C., Wingfield, T., Cumming, F., Green, W., & Hadjipantelis, P. (2021). Diversity of symptom phenotypes in SARS-CoV-2 community infections observed in multiple large datasets. arXiv preprint arXiv:2111.05728.
Maneas, E., Hauptmann, A., Alles, E., Xia, W., Vercauteren, T., Ourselin, S., David, A., Arridge, S., & Desjardins, A. (2021). Deep learning for instrumented ultrasonic tracking: From synthetic training data to in vivo application. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.
Fidon, L., Aertsen, M., Shit, S., Demaerel, P., Ourselin, S., Deprest, J., & Vercauteren, T. (2021). Partial supervision for the feta challenge 2021. arXiv preprint arXiv:2111.02408.
Fidon, L., Aertsen, M., Mufti, N., Deprest, T., Emam, D., Guffens, F., Schwartz, E., Ebner, M., Prayer, D., & Kasprian, G. (2021). Distributionally robust segmentation of abnormal fetal brain 3D MRI. Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis: 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings 3.
Kwon, S., Joshi, A., Lo, C., Drew, D., Nguyen, L., Guo, C., Ma, W., Mehta, R., Shebl, F., & Warner, E. (2021). Association of social distancing and face mask use with risk of COVID-19. Nature Communications.
Dromey, B., Ahmed, S., Vasconcelos, F., Mazomenos, E., Kunpalin, Y., Ourselin, S., Deprest, J., David, A., Stoyanov, D., & Peebles, D. (2021). Dimensionless squared jerk: An objective differential to assess experienced and novice probe movement in obstetric ultrasound. Prenatal Diagnosis.
Kifer, D., Bugada, D., Villar-Garcia, J., Gudelj, I., Menni, C., Sudre, C., Vučković, F., Ugrina, I., Lorini, L., & Posso, M. (2021). Effects of environmental factors on severity and mortality of COVID-19. Frontiers in medicine.
Kanber, B., Ruffle, J., Cardoso, J., Ourselin, S., & Ciccarelli, O. (2020). Neurosense: deep sensing of full or near-full coverage head/brain scans in human magnetic resonance imaging. .
Rieke, N., Hancox, J., Li, W., Milletari, F., Roth, H., Albarqouni, S., Bakas, S., Galtier, M., Landman, B., & Maier-Hein, K. (2020). The future of digital health with federated learning. NPJ digital medicine.
Menni, C., Sudre, C., Steves, C., Ourselin, S., & Spector, T. (2020). Quantifying additional COVID-19 symptoms will save lives. The Lancet.
Vakharia, V., Sparks, R., Granados, A., Miserocchi, A., McEvoy, A., Ourselin, S., & Duncan, J. (2020). Refining planning for stereoelectroencephalography: a prospective validation of spatial priors for computer-assisted planning with application of dynamic learning. Frontiers in Neurology.
Peter, L., Tella-Amo, M., Shakir, D., Deprest, J., Ourselin, S., Iglesias, J., & Vercauteren, T. (2020). Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications. arXiv preprint arXiv:2012.15343.
Sudre, C., Keshet, A., Graham, M., Joshi, A., Shilo, S., Rossman, H., Murray, B., Molteni, E., Klaser, K., & Canas, L. (2020). Anosmia and other SARS-CoV-2 positive test-associated symptoms, across three national, digital surveillance platforms as the COVID-19 pandemic and response unfolded: an observation study. medRxiv.
Wang, G., Aertsen, M., Deprest, J., Ourselin, S., Vercauteren, T., & Zhang, S. (2020). Uncertainty-guided efficient interactive refinement of fetal brain segmentation from stacks of MRI slices. Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part IV 23.
Ranzini, M., Henckel, J., Ebner, M., Cardoso, M., Isaac, A., Vercauteren, T., Ourselin, S., Hart, A., & Modat, M. (2020). Automated postoperative muscle assessment of hip arthroplasty patients using multimodal imaging joint segmentation. Computer Methods and Programs in Biomedicine.
Antonelli, M., Capdevila, J., Chaudhari, A., Granerod, J., Canas, L., Graham, M., Klaser, K., Modat, M., Molteni, E., & Murray, B. (2020). Identifying optimal combinations of symptoms to trigger diagnostic work-up of suspected COVID-19 cases in vaccine trials: analysis from a community-based, prospective, observational cohort. medRxiv.
Bowyer, R., Varsavsky, T., Sudre, C., Murray, B., Freidin, M., Yarand, D., Ganesh, S., Capdevila, J., Thompson, E., & Bakker, E. (2020). Geo-social gradients in predicted COVID-19 prevalence and severity in Great Britain: results from 2,266,235 users of the COVID-19 Symptoms Tracker app. MedRxiv.
Brugulat-Serrat, A., Salvadó, G., Sudre, C., Grau-Rivera, O., Suárez-Calvet, M., Falcon, C., Sánchez-Benavides, G., Gramunt, N., Fauria, K., & Cardoso, M. (2020). Patterns of white matter hyperintensities associated with cognition in middle-aged cognitively healthy individuals. Brain imaging and behavior.
Lucena, O., Vos, S., Vakharia, V., Duncan, J., Ashkan, K., Sparks, R., & Ourselin, S. (2020). Enhancing fiber orientation distributions using convolutional neural networks. arXiv preprint arXiv:2008.05409.
Brusaferri, L., Bousse, A., Emond, E., Brown, R., Tsai, Y., Atkinson, D., Ourselin, S., Watson, C., Hutton, B., & Arridge, S. (2020). Joint activity and attenuation reconstruction from multiple energy window data with photopeak scatter re-estimation in non-TOF 3-D PET. IEEE Transactions on Radiation and Plasma Medical Sciences.
Antonelli, M., Johnston, E., Dikaios, N., Cheung, K., Sidhu, H., Appayya, M., Giganti, F., Simmons, L., Freeman, A., & Allen, C. (2020). Correction to: Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists. European Radiology.
Irzan, H., O’Reilly, H., Ourselin, S., Marlow, N., & Melbourne, A. (2020). Brain volume and neuropsychological differences in extremely preterm adolescents. Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis: First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings 1.
Visconti, A., Bataille, V., Kluk, J., Murphy, R., Puig, S., Nambi, R., Bowyer, R., Murray, B., Bournot, A., & Wolf, J. (2020). Diagnostic value of skin manifestation of SARS-CoV-2 infection. .
Lazaridis, G., Mohamed-Noriega, J., Lorenzi, M., Ourselin, S., & Garway-Heath, D. (2020). Imaging outcomes in the UK Glaucoma Treatment Study (UKGTS): improving the statistical power of the UKGTS by OCT image enhancement via Bayesian fusion of ensemble generative adversarial networks. Investigative Ophthalmology & Visual Science.
Goodkin, O., Prados, F., Vos, S., Pemberton, H., Collorone, S., Hagens, M., Cardoso, M., Yousry, T., Thornton, J., & Sudre, C. (2020). Flair-only joint volumetric analysis of brain lesions and atrophy in clinically isolated syndrome (CIS) suggestive of ms. MULTIPLE SCLEROSIS JOURNAL.
Sudre, C., Murray, B., Varsavsky, T., Graham, M., Penfold, R., Bowyer, R., Pujol, J., Klaser, K., Antonelli, M., & Canas, L. (2020). Attributes and predictors of long-COVID: analysis of COVID cases and their symptoms collected by the Covid Symptoms Study App. medRxiv. medRxiv.
Sudre, C., Murray, B., Varsavsky, T., Graham, M., Penfold, R., Bowyer, R., Pujol, J., Klaser, K., Antonelli, M., & Canas, L. (2020). Attributes and predictors of Long-COVID: analysis of COVID cases and their symptoms collected by the Covid Symptoms Study App. Medrxiv.
Ranzini, M., Groothuis, I., Kläser, K., Cardoso, M., Henckel, J., Ourselin, S., Hart, A., & Modat, M. (2020). Combining multimodal information for metal artefact reduction: An unsupervised deep learning framework. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).
Tur, C., Grussu, F., Prados, F., Charalambous, T., Collorone, S., Kanber, B., Cawley, N., Altmann, D., Ourselin, S., & Barkhof, F. (2020). A multi-shell multi-tissue diffusion study of brain connectivity in early multiple sclerosis. Multiple Sclerosis Journal.
Lucena, O., Vos, S., Vakharia, V., Duncan, J., Ourselin, S., & Sparks, R. (2020). Convolutional neural networks for fiber orientation distribution enhancement to improve single-shell diffusion MRI tractography. Computational Diffusion MRI: MICCAI Workshop, Shenzhen, China, October 2019.
Marinescu, R., Oxtoby, N., Young, A., Bron, E., Toga, A., Weiner, M., Barkhof, F., Fox, N., Eshaghi, A., & Toni, T. (2020). The alzheimer's disease prediction of longitudinal evolution (TADPOLE) challenge: Results after 1 year follow-up. arXiv preprint arXiv:2002.03419.
Maneas, E., Aughwane, R., Huynh, N., Xia, W., Ansari, R., Kuniyil Ajith Singh, M., Hutchinson, J., Sebire, N., Arthurs, O., & Deprest, J. (2020). Photoacoustic imaging of the human placental vasculature. Journal of biophotonics.
Drobny, D., Ranzini, M., Isaac, A., Vercauteren, T., Ourselin, S., Choi, D., & Modat, M. (2020). Towards automated spine mobility quantification: a locally rigid CT to X-ray registration framework. Biomedical Image Registration: 9th International Workshop, WBIR 2020, Portorož, Slovenia, December 1–2, 2020, Proceedings 9.
Sudre, C., Cardoso, M., Modat, M., & Ourselin, S. (2020). Imaging biomarkers in Alzheimer's disease. Handbook of Medical Image Computing and Computer Assisted Intervention.
Lochlainn, M., Lee, K., Sudre, C., Varsavsky, T., Cardoso, M., Menni, C., Bowyer, R., Nguyen, L., Drew, D., & Ganesh, S. (2020). Key predictors of attending hospital with COVID19: an association study from the COVID symptom Tracker APP in 2,618,948 individuals. medRxiv.
Kunpalin, Y., Richter, J., Mufti, N., Bosteels, J., Ourselin, S., De Coppi, P., David, A., & Deprest, J. (2020). VP28. 07: Cranial findings detected by second trimester ultrasound in fetuses with spina bifida aperta: a systematic review. Ultrasound in Obstetrics & Gynecology.
Bano, S., Vasconcelos, F., Vander Poorten, E., Vercauteren, T., Ourselin, S., Deprest, J., & Stoyanov, D. (2020). FetNet: a recurrent convolutional network for occlusion identification in fetoscopic videos. International journal of computer assisted radiology and surgery.
Ghazi, M., Sørensen, L., Pai, A., Cardoso, J., Modat, M., Ourselin, S., & Nielsen, M. (2020). Disease Progression Modeling-Based Prediction of Cognitive Decline. 2020 Alzheimer's Association International Conference.
Fiford, C., Nicholas, J., Biessels, G., Lane, C., Cardoso, M., & Barnes, J. (2020). High blood pressure predicts hippocampal atrophy rate in cognitively impaired elders. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring.
Ma, D., Cardoso, M., Zuluaga, M., Modat, M., Powell, N., Wiseman, F., Cleary, J., Sinclair, B., Harrison, I., & Siow, B. (2020). Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome–a comprehensive morphometric analysis with active staining contrast-enhanced MRI. NeuroImage.
Kläser, K., Borges, P., Shaw, R., Ranzini, M., Modat, M., Atkinson, D., Thielemans, K., Hutton, B., Goh, V., & Cook, G. (2020). Uncertainty-aware multi-resolution whole-body MR to CT synthesis. Simulation and Synthesis in Medical Imaging: 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings 5.
Lillington, J., Brusaferri, L., Kläser, K., Shmueli, K., Neji, R., Hutton, B., Fraioli, F., Arridge, S., Cardoso, M., & Ourselin, S. (2020). PET/MRI attenuation estimation in the lung: a review of past, present, and potential techniques. Medical physics.
Flouri, D., Owen, D., Aughwane, R., Mufti, N., Maksym, K., Sokolska, M., Kendall, G., Bainbridge, A., Atkinson, D., & Vercauteren, T. (2020). Improved fetal blood oxygenation and placental estimated measurements of diffusion‐weighted MRI using data‐driven Bayesian modeling. Magnetic resonance in medicine.
Hyare, H., De Vita, E., Porter, M., Simpson, I., Ridgway, G., Lowe, J., Thompson, A., Carswell, C., Ourselin, S., & Modat, M. (2020). Putaminal diffusion tensor imaging measures predict disease severity across human prion diseases. Brain Communications.
Ebner, M., Wang, G., Li, W., Aertsen, M., Patel, P., Aughwane, R., Melbourne, A., Doel, T., Dymarkowski, S., & De Coppi, P. (2020). An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI. NeuroImage.
De Angelis, F., Connick, P., Parker, R., Plantone, D., Doshi, A., John, N., Stutters, J., MacManus, D., Prados, F., & Marshall, I. (2020). Main results. Amiloride, fluoxetine or riluzole to reduce brain volume loss in secondary progressive multiple sclerosis: the MS-SMART four-arm RCT.
Dromey, B., Vasconcelos, F., Ourselin, S., David, A., Stoyanov, D., & Peebles, D. (2020). VP34. 01: Dimensionless jerk: an objective differential to assess experienced and novice ultrasound operators in a clinical setting. Ultrasound in Obstetrics & Gynecology.
McGrath, H., Li, P., Dorent, R., Bradford, R., Saeed, S., Bisdas, S., Ourselin, S., Shapey, J., & Vercauteren, T. (2020). Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI. International Journal of Computer Assisted Radiology and Surgery.
Mackle, E., Shapey, J., Maneas, E., Saeed, S., Bradford, R., Ourselin, S., Vercauteren, T., & Desjardins, A. (2020). Patient-specific polyvinyl alcohol phantom fabrication with ultrasound and X-ray contrast for brain tumor surgery planning. JoVE (Journal of Visualized Experiments).
Kwon, S., Joshi, A., Lo, C., Drew, D., Nguyen, L., Guo, C., Ma, W., Mehta, R., Warner, E., & Astley, C. (2020). Association of social distancing and masking with risk of COVID-19. medRxiv.
García-Peraza-Herrera, L., Everson, M., Lovat, L., Wang, H., Wang, W., Haidry, R., Stoyanov, D., Ourselin, S., & Vercauteren, T. (2020). Intrapapillary capillary loop classification in magnification endoscopy: open dataset and baseline methodology. International journal of computer assisted radiology and surgery.
Drew, D., Nguyen, L., Ma, W., Lo, C., Joshi, A., Sikavi, D., Astley, C., Lee, K., Lochlainn, M., & Gomez, M. (2020). Cancer and race: Two important riskfactors for COVID-19 incidence as captured by theCOVID Symptom Study real-time epidemiology tool. Clinical Cancer Research.
Granados, A., Lucena, O., Vakharia, V., Miserocchi, A., McEvoy, A., Vos, S., Rodionov, R., Duncan, J., Sparks, R., & Ourselin, S. (2020). Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).
da Silva, M., Garcia, K., Sudre, C., Bass, C., Cardoso, M., & Robinson, E. (2020). Biomechanical modelling of brain atrophy through deep learning. arXiv preprint arXiv:2012.07596.
Booth, T., Akpinar, B., Roman, A., Shuaib, H., Luis, A., Chelliah, A., Al Busaidi, A., Mirchandani, A., Alparslan, B., & Mansoor, N. (2020). Machine learning and glioblastoma: treatment response monitoring biomarkers in 2021. Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology: Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings 3.
Zhao, T., Ourselin, S., Vercauteren, T., & Xia, W. (2020). Seeing through multimode fibers with real-valued intensity transmission matrices. Optics Express.
Fiford, C., Sudre, C., Pemberton, H., Walsh, P., Manning, E., Malone, I., Nicholas, J., Bouvy, W., Carmichael, O., & Biessels, G. (2020). Automated white matter hyperintensity segmentation using Bayesian model selection: Assessment and correlations with cognitive change. Neuroinformatics.
Singleton, E., Pijnenburg, Y., Sudre, C., Groot, C., Kochova, E., Barkhof, F., La Joie, R., Rosen, H., Seeley, W., & Miller, B. (2020). Investigating the clinico-anatomical dissociation in the behavioral variant of Alzheimer disease. Alzheimer's research & therapy.
Chataway, J., De Angelis, F., Connick, P., Parker, R., Plantone, D., Doshi, A., John, N., Stutters, J., MacManus, D., & Carrasco, F. (2020). Efficacy of three neuroprotective drugs in secondary progressive multiple sclerosis (MS-SMART): a phase 2b, multiarm, double-blind, randomised placebo-controlled trial. The Lancet Neurology.
Nousias, S., Lourakis, M., Keane, P., Ourselin, S., & Bergeles, C. (2020). A linear approach to absolute pose estimation for light fields. 2020 International Conference on 3D Vision (3DV).
Convery, R., Jiao, J., Clarke, M., Moore, K., Koriath, C., Woollacott, I., Weston, P., Gunn, R., Rabiner, I., & Cash, D. (2020). Longitudinal (18F) AV-1451 PET imaging in a patient with frontotemporal dementia due to a Q351R MAPT mutation. Journal of Neurology, Neurosurgery & Psychiatry.
Charalambous, T., Clayden, J., Powell, E., Prados, F., Tur, C., Kanber, B., Chard, D., Ourselin, S., Wheeler-Kingshott, C., & Thompson, A. (2020). Disrupted principal network organisation in multiple sclerosis relates to disability. Scientific Reports.
Hopkinson, N., Rossi, N., Moustafa, J., Laverty, A., Quint, J., Freidin, M., Visconti, A., Murray, B., Modat, M., & Ourselin, S. (2020). Current tobacco smoking and risk from COVID-19: results from a population symptom app in over 2.4 million people. medrxiv.
Mufti, N., Aertsen, M., Ebner, M., Fidon, L., Patel, P., Rahman, M., Brackenier, Y., Ekart, G., Fernandez, V., & Vercauteren, T. (2020). VP28. 02: Cortical surface matching of the fetal cortex pre‐and post‐fetal surgery for open spina bifida. Ultrasound in Obstetrics & Gynecology.
Chadebecq, F., Vasconcelos, F., Lacher, R., Maneas, E., Desjardins, A., Ourselin, S., Vercauteren, T., & Stoyanov, D. (2020). Refractive two-view reconstruction for underwater 3D vision. International Journal of Computer Vision.
Lawton, B., Lin, F., Ourselin, S., Vercauteren, T., Desai, N., & Xia, W. (2020). Development of an anatomically accurate ultrasound phantom for infraclavicular brachial plexus block. ANAESTHESIA.
Tudosiu, P., Varsavsky, T., Shaw, R., Graham, M., Nachev, P., Ourselin, S., Sudre, C., & Cardoso, M. (2020). Neuromorphologicaly-preserving volumetric data encoding using VQ-VAE. arXiv preprint arXiv:2002.05692.
Nguyen, L., Drew, D., Graham, M., Joshi, A., Guo, C., Ma, W., Mehta, R., Warner, E., Sikavi, D., & Lo, C. (2020). Coronavirus pandemic epidemiology consortium. risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study. Lancet Public Health.
Legrand, J., Dirckx, D., Durt, M., Ourak, M., Deprest, J., Ourselin, S., Qian, J., Vercauteren, T., & Vander Poorten, E. (2020). Active handheld flexible fetoscope–design and control based on a modified generalized prandtl-ishlinski model. 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM).
Pérez-García, F., Rodionov, R., Alim-Marvasti, A., Sparks, R., Duncan, J., & Ourselin, S. (2020). Simulation of brain resection for cavity segmentation using self-supervised and semi-supervised learning. Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part III 23.
Shapey, J., Xie, Y., Nabavi, E., Ebner, M., Maneas, E., Saeed, S., Dorward, N., Kitchen, N., Desjardins, A., & Ourselin, S. (2020). Ex vivo assessment of the optical characteristics of human brain and tumour tissue. Progress in Biomedical Optics and Imaging-Proceedings of SPIE.
Shaw, R., Sudre, C., Varsavsky, T., Ourselin, S., & Cardoso, M. (2020). A k-space model of movement artefacts: application to segmentation augmentation and artefact removal. IEEE transactions on medical imaging.
Weston, P., Poole, T., Nicholas, J., Toussaint, N., Simpson, I., Modat, M., Ryan, N., Liang, Y., Rossor, M., & Schott, J. (2020). Measuring cortical mean diffusivity to assess early microstructural cortical change in presymptomatic familial Alzheimer’s disease. Alzheimer's research & therapy.
Millar, J., Neyton, L., Seth, S., Dunning, J., Merson, L., Murthy, S., Russell, C., Keating, S., Swets, M., & Sudre, C. (2020). Robust, reproducible clinical patterns in hospitalised patients with COVID-19. MedRxiv.
Chung, K., Altmann, D., Barkhof, F., Miszkiel, K., Brex, P., O'Riordan, J., Ebner, M., Prados, F., Cardoso, M., & Vercauteren, T. (2020). A 30‐Year Clinical and Magnetic Resonance imaging observational study of multiple sclerosis and clinically isolated syndromes. Annals of neurology.
Schneider, C., Thompson, S., Totz, J., Song, Y., Allam, M., Sodergren, M., Desjardins, A., Barratt, D., Ourselin, S., & Gurusamy, K. (2020). Comparison of manual and semi-automatic registration in augmented reality image-guided liver surgery: a clinical feasibility study. Surgical endoscopy.
Graham, M., Sudre, C., Varsavsky, T., Tudosiu, P., Nachev, P., Ourselin, S., & Cardoso, M. (2020). Hierarchical brain parcellation with uncertainty. Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis: Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings 2.
Gallagher, K., Dromey, B., Marlow, N., David, A., Ourselin, S., & Duffy, J. (2020). Core outcome sets in women’s and newborn health: A review, methodological and reporting quality assessment informing recommendations for core outcome set developers and wider stakeholders. Authorea Preprints.
Maneas, E., Aughwane, R., Huynh, N., Xia, W., Ansari, R., Kuniyil Ajith Singh, M., Hutchinson, J., Sebire, N., Arthurs, O., & Deprest, J. (2020). Front Cover: Photoacoustic imaging of the human placental vasculature (J. Biophotonics 4/2020). Journal of Biophotonics.
Irzan, H., Fidon, L., Vercauteren, T., Ourselin, S., Marlow, N., & Melbourne, A. (2020). Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth. Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis: Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings 2.
Lucena, O., Vos, S., Vakharia, V., Duncan, J., Ashkan, K., Sparks, R., & Ourselin, S. (2020). Using convolution neural networks to learn enhanced fiber orientation distribution models from commercially available diffusion magnetic resonance imaging. arXiv preprint arXiv:2008.05409.
Menni, C., Valdes, A., Freidin, M., Sudre, C., Nguyen, L., Drew, D., Ganesh, S., Varsavsky, T., Cardoso, M., & El-Sayed Moustafa, J. (2020). Real-time tracking of self-reported symptoms to predict potential COVID-19. Nature medicine.
Dorent, R., Joutard, S., Shapey, J., Bisdas, S., Kitchen, N., Bradford, R., Saeed, S., Modat, M., Ourselin, S., & Vercauteren, T. (2020). Scribble-based domain adaptation via co-segmentation. Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I 23.
Gu, R., Wang, G., Song, T., Huang, R., Aertsen, M., Deprest, J., Ourselin, S., Vercauteren, T., & Zhang, S. (2020). CA-Net: Comprehensive attention convolutional neural networks for explainable medical image segmentation. IEEE transactions on medical imaging.
Mufti, N., Ebner, M., Humphries, P., Gaunt, T., Patel, P., Bredaki, E., Hewitt, R., Sokolska, M., Kendall, G., & Atkinson, D. (2020). VP20. 10: Use of super resolution reconstruction MRI for surgical planning in a fetus with congenital high airway obstruction syndrome: a case report. Ultrasound in Obstetrics & Gynecology.
Nguyen, L., Drew, D., Joshi, A., Guo, C., Ma, W., Mehta, R., Sikavi, D., Lo, C., Kwon, S., & Song, M. (2020). Risk of symptomatic Covid-19 among frontline healthcare workers. medRxiv.
Drew, D., Nguyen, L., Steves, C., Menni, C., Freydin, M., Varsavsky, T., Sudre, C., Cardoso, M., Ourselin, S., & Wolf, J. (2020). Rapid implementation of mobile technology for real-time epidemiology of COVID-19. Science.
Molteni, E., Astley, C., Ma, W., Sudre, C., Magee, L., Murray, B., Fall, T., Gomez, M., Tsereteli, N., & Franks, P. (2020). SARS-CoV-2 (COVID-19) infection in pregnant women: characterization of symptoms and syndromes predictive of disease and severity through real-time, remote participatory epidemiology. MedRxiv.
Nguyen, L., Drew, D., Graham, M., Joshi, A., Guo, C., Ma, W., Mehta, R., Warner, E., Sikavi, D., & Lo, C. (2020). Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study. The Lancet Public Health.
Vos, S., Winston, G., Goodkin, O., Pemberton, H., Barkhof, F., Prados, F., Galovic, M., Koepp, M., Ourselin, S., & Cardoso, M. (2020). Hippocampal profiling: localized magnetic resonance imaging volumetry and T2 relaxometry for hippocampal sclerosis. Epilepsia.
Cash, D., Markiewicz, P., Jiao, J., Coath, W., Modat, M., Lane, C., Parker, T., Keuss, S., Buchanan, S., & Burgos, N. (2020). Comparison of static and dynamic analysis techniques for longitudinal analysis of amyloid PET. 2020 Alzheimer's Association International Conference.
Costeira, R., Lee, K., Murray, B., Christiansen, C., Castillo-Fernandez, J., Lochlainn, M., Pujol, J., Buchan, I., Kenny, L., & Wolf, J. (2020). Estrogen and COVID-19 symptoms: associations in women from the COVID Symptom Study (preprint). .
Mehta, P., Antonelli, M., Ahmed, H., Emberton, M., Punwani, S., & Ourselin, S. (2020). Decision fusion of 3D convolutional neural networks to triage patients with suspected prostate cancer using volumetric biparametric MRI. Medical Imaging 2020: Computer-Aided Diagnosis.
De Angelis, F., Connick, P., Parker, R., Plantone, D., Doshi, A., John, N., Stutters, J., MacManus, D., Prados, F., & Marshall, I. (2020). Amiloride, fluoxetine or riluzole to reduce brain volume loss in secondary progressive multiple sclerosis: the MS-SMART four-arm RCT. Efficacy and Mechanism Evaluation.
Granados, A., Rodionov, R., Vakharia, V., McEvoy, A., Miserocchi, A., O'Keeffe, A., Duncan, J., Sparks, R., & Ourselin, S. (2020). Automated computation and analysis of accuracy metrics in stereoencephalography. Journal of Neuroscience Methods.
Bano, S., Vasconcelos, F., Tella-Amo, M., Dwyer, G., Gruijthuijsen, C., Vander Poorten, E., Vercauteren, T., Ourselin, S., Deprest, J., & Stoyanov, D. (2020). Deep learning-based fetoscopic mosaicking for field-of-view expansion. International journal of computer assisted radiology and surgery.
Shaw, R., Sudre, C., Ourselin, S., & Cardoso, M. (2020). A heteroscedastic uncertainty model for decoupling sources of MRI image quality. Medical Imaging with Deep Learning.
Lo, C., Nguyen, L., Drew, D., Graham, M., Warner, E., Joshi, A., Astley, C., Guo, C., Ma, W., & Mehta, R. (2020). Racial and ethnic determinants of Covid-19 risk. MedRxiv.
Convery, R., Neason, M., Cash, D., Cardoso, M., Modat, M., Ourselin, S., Warren, J., Rohrer, J., & Bocchetta, M. (2020). Basal forebrain atrophy in frontotemporal dementia. NeuroImage: Clinical.
Varsavsky, T., Graham, M., Canas, L., Ganesh, S., Puyol, J., Sudre, C., Murray, B., Modat, M., Cardoso, M., & Astley, C. (2020). Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application. medRxiv.
Sudre, C., Panovska-Griffiths, J., Sanverdi, E., Brandner, S., Katsaros, V., Stranjalis, G., Pizzini, F., Ghimenton, C., Surlan-Popovic, K., & Avsenik, J. (2020). Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status. BMC medical informatics and decision making.
Fidon, L., Aertsen, M., Deprest, T., Emam, D., Guffens, F., Mufti, N., Van Elslander, E., Schwartz, E., Ebner, M., & Prayer, D. (2020). Distributionally robust deep learning using hardness weighted sampling. arXiv preprint arXiv:2001.02658.
Prados, F., Moccia, M., Johnson, A., Yiannakas, M., Grussu, F., Cardoso, M., Ciccarelli, O., Ourselin, S., Barkhof, F., & Wheeler-Kingshott, C. (2020). Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy. Neuroimage.
Moccia, M., van de Pavert, S., Eshaghi, A., Haider, L., Pichat, J., Yiannakas, M., Ourselin, S., Wang, Y., Wheeler-Kingshott, C., & Thompson, A. (2020). Pathologic correlates of the magnetization transfer ratio in multiple sclerosis. Neurology.
Marcus, H., Vakharia, V., Sparks, R., Rodionov, R., Kitchen, N., McEvoy, A., Miserocchi, A., Thorne, L., Ourselin, S., & Duncan, J. (2020). Computer-assisted versus manual planning for stereotactic brain biopsy: a retrospective comparative pilot study. Operative Neurosurgery.
Bauermeister, S., Orton, C., Thompson, S., Barker, R., Bauermeister, J., Ben-Shlomo, Y., Brayne, C., Burn, D., Campbell, A., & Calvin, C. (2020). The dementias platform UK (DPUK) data portal. European journal of epidemiology.
Albarqouni, S., Bakas, S., Kamnitsas, K., Cardoso, M., Landman, B., Li, W., Milletari, F., Rieke, N., Roth, H., & Xu, D. (2020). Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning: Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings. .
Varsavsky, T., Orbes-Arteaga, M., Sudre, C., Graham, M., Nachev, P., & Cardoso, M. (2020). Test-time unsupervised domain adaptation. Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I 23.
Menni, C., Sudre, C., Steves, C., Ourselin, S., & Spector, T. (2020). Widespread smell testing for COVID-19 has limited application–Authors' reply. The Lancet.
Irzan, H., Hütel, M., Semedo, C., O’Reilly, H., Sahota, M., Ourselin, S., Marlow, N., & Melbourne, A. (2020). A network-based analysis of the preterm adolescent brain using PCA and graph theory. Computational Diffusion MRI: MICCAI Workshop, Shenzhen, China, October 2019.
Raison*, N., Hutel, M., Brunckhorst, O., Aydin, A., Ahmed, K., Ourselin, S., & Dasgupta, P. (2020). MP34-17 ASSESSMENT OF MENTAL IMAGERY BY NEUROIMAGING FOR SURGICAL DEVELOPMENT: THE MIND TRIAL. The Journal of Urology.
Brown, J., Prados Carrasco, F., Eshaghi, A., Sudre, C., Button, T., Pardini, M., Samson, R., Ourselin, S., Wheeler-Kingshott, C., & Jones, J. (2020). Periventricular magnetisation transfer ratio abnormalities in multiple sclerosis improve after alemtuzumab. Multiple Sclerosis Journal.
Prados Carrasco, F., Moccia, M., Johnson, A., Yiannakas, M., Grussu, F., Cardoso, M., Ciccarelli, O., Ourselin, S., Barkhof, F., & Gandini Wheeler-Kingshott, C. (2020). Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy. .
Mufti, N., Sacco, A., Aertsen, M., Ushakov, F., Ourselin, S., Melbourne, A., & David, A. (2020). VP28. 09: What brain abnormalities can magnetic resonance imaging detect in fetal and early neonatal spina bifida: a systematic review. Ultrasound in Obstetrics & Gynecology.
Pissas, T., Bloch, E., Cardoso, M., Flores, B., Georgiadis, O., Jalali, S., Ravasio, C., Stoyanov, D., Da Cruz, L., & Bergeles, C. (2020). Deep iterative vessel segmentation in OCT angiography. Biomedical Optics Express.
Cash, D., Markiewicz, P., Jiao, J., Coath, W., Modat, M., Lane, C., Parker, T., Keuss, S., Buchanan, S., & Burgos, N. (2020). Comparison of static and dynamic analysis techniques for longitudinal analysis of amyloid PET: Neuroimaging/Optimal neuroimaging measures for tracking disease progression. Alzheimer's & Dementia.
Vakharia, V., Sparks, R., Vos, S., Bezchlibnyk, Y., Mehta, A., Willie, J., Wu, C., Sharan, A., Ourselin, S., & Duncan, J. (2020). Computer-assisted planning for minimally invasive anterior two-thirds laser corpus callosotomy: a feasibility study with probabilistic tractography validation. NeuroImage: Clinical.
Zuluaga, M., Cardoso, M., & Ourselin, S. (2020). Automatic right ventricle segmentation using multi-label fusion in cardiac MRI. arXiv preprint arXiv:2004.02317.
Ghazi, M., Sørensen, L., Pai, A., Cardoso, J., Modat, M., Ourselin, S., & Nielsen, M. (2020). Disease progression modeling‐based prediction of cognitive decline: Neuroimaging/Optimal neuroimaging measures for tracking disease progression. Alzheimer's & Dementia.
Fidon, L., Ourselin, S., & Vercauteren, T. (2020). SGD with hardness weighted sampling for distributionally robust deep learning. arXiv preprint arXiv:2001.02658.
Cardoso, M., Clarkson, M., & Ourselin, S. (2020). NiftySeg. School of Biomedical Engineering & Imaging Sciences, KCL.
Wells, P., Doores, K., Couvreur, S., Nunez, R., Seow, J., Graham, C., Acors, S., Kouphou, N., Neil, S., & Tedder, R. (2020). Estimates of the rate of infection and asymptomatic COVID-19 disease in a population sample from SE England. Journal of Infection.
Drew, D., Nguyen, L., Ma, W., Lo, C., Joshi, A., Sikavi, D., Astley, C., Lee, K., Lochlainn, M., & Gomez, M. (2020). Abstract S09-01: Cancer and race: Two important risk factors for COVID-19 incidence as captured by the COVID Symptom Study real-time epidemiology tool. Clinical Cancer Research.
Louca, P., Murray, B., Klaser, K., Graham, M., Mazidi, M., Leeming, E., Thompson, E., Bowyer, R., Drew, D., & Nguyen, L. (2020). Dietary supplements during the COVID-19 pandemic: insights from 1.4 M users of the COVID Symptom Study app-a longitudinal app-based community survey. medRxiv.
Chan, A., Drew, D., Nguyen, L., Joshi, A., Ma, W., Guo, C., Lo, C., Mehta, R., Kwon, S., & Sikavi, D. (2020). The COronavirus Pandemic Epidemiology (COPE) consortium: a call to action. Cancer Epidemiology, Biomarkers & Prevention.
Bataille, V., Visconti, A., Rossi, N., Murray, B., Bournot, A., Wolf, J., Ourselin, S., Steves, C., Spector, T., & Falchi, M. (2020). Diagnostic value of skin manifestation of SARS-CoV-2 infection. .
Bano, S., Vasconcelos, F., Shepherd, L., Vander Poorten, E., Vercauteren, T., Ourselin, S., David, A., Deprest, J., & Stoyanov, D. (2020). Deep placental vessel segmentation for fetoscopic mosaicking. Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part III 23.
Solanky, B., Prados, F., Tur, C., Yiannakas, M., Kanber, B., Cawley, N., Brownlee, W., Ourselin, S., Golay, X., & Ciccarelli, O. (2020). Sodium in the relapsing–remitting multiple sclerosis spinal cord: increased concentrations and associations with microstructural tissue anisotropy. Journal of Magnetic Resonance Imaging.
Melbourne, A., Aughwane, R., Sokolska, M., Owen, D., Kendall, G., Flouri, D., Bainbridge, A., Atkinson, D., Deprest, J., & Vercauteren, T. (2019). Separating fetal and maternal placenta circulations using multiparametric MRI. Magnetic resonance in medicine.
Wang, Q., Milletari, F., Nguyen, H., Albarqouni, S., Cardoso, M., Rieke, N., Xu, Z., Kamnitsas, K., Patel, V., & Roysam, B. (2019). Domain adaptation and representation transfer and medical image learning with less labels and imperfect data: first MICCAI workshop, dart 2019, and first International workshop, MIL3ID 2019, Shenzhen, held in conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, proceedings. .
Dromey, B., Ahmed, S., Vasconcelos, F., Mazomenos, E., David, A., Ourselin, S., Stoyanov, D., & Peebles, D. (2019). Quantifying expert performance in obstetric ultrasound using probe tracking systems: data to improve training. BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY.
Drobny, D., Ranzini, M., Ourselin, S., Vercauteren, T., & Modat, M. (2019). Landmark-based evaluation of a block-matching registration framework on the RESECT pre-and intra-operative brain image data set. Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention: International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings 4.
Ghazi, M., Nielsen, M., Pai, A., Cardoso, M., Modat, M., Ourselin, S., & Sørensen, L. (2019). Training recurrent neural networks robust to incomplete data: Application to Alzheimer’s disease progression modeling. Medical image analysis.
Borges, P., Sudre, C., Varsavsky, T., Thomas, D., Drobnjak, I., Ourselin, S., & Cardoso, M. (2019). Physics-informed brain MRI segmentation. Simulation and Synthesis in Medical Imaging: 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings 4.
Xia, W., Noimark, S., Maneas, E., Brown, N., Singh, M., Ourselin, S., West, S., & Desjardins, A. (2019). Enhancing photoacoustic visualization of medical devices with elastomeric nanocomposite coatings. Photons Plus Ultrasound: Imaging and Sensing 2019.
Goodkin, O., Pemberton, H., Vos, S., Prados, F., Sudre, C., Moggridge, J., Cardoso, M., Ourselin, S., Bisdas, S., & White, M. (2019). The quantitative neuroradiology initiative framework: application to dementia. The British Journal of Radiology.
Scott, C., Jiao, J., Melbourne, A., Burgos, N., Cash, D., De Vita, E., Markiewicz, P., O'Connor, A., Thomas, D., & Weston, P. (2019). Reduced acquisition time PET pharmacokinetic modelling using simultaneous ASL–MRI: proof of concept. Journal of Cerebral Blood Flow & Metabolism.
Grussu, F., Ianuş, A., Tur, C., Prados, F., Schneider, T., Kaden, E., Ourselin, S., Drobnjak, I., Zhang, H., & Alexander, D. (2019). Relevance of time‐dependence for clinically viable diffusion imaging of the spinal cord. Magnetic resonance in medicine.
Fidon, L., Ebner, M., Garcia-Peraza-Herrera, L., Modat, M., Ourselin, S., & Vercauteren, T. (2019). Incompressible image registration using divergence-conforming B-splines. Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part II 22.
Ciccarelli, O., Cohen, J., Reingold, S., Weinshenker, B., Amato, M., Banwell, B., Barkhof, F., Bebo, B., Becher, B., & Bethoux, F. (2019). Spinal cord involvement in multiple sclerosis and neuromyelitis optica spectrum disorders. The Lancet Neurology.
Vakharia, V., Sparks, R., Miserocchi, A., Vos, S., O’Keeffe, A., Rodionov, R., McEvoy, A., Ourselin, S., & Duncan, J. (2019). Computer-assisted planning for stereoelectroencephalography (SEEG). Neurotherapeutics.
Moccia, M., Prados, F., Filippi, M., Rocca, M., Valsasina, P., Brownlee, W., Zecca, C., Gallo, A., Rovira, A., & Gass, A. (2019). Longitudinal spinal cord atrophy in multiple sclerosis using the generalised boundary shift integral on multicentre and multi-field strength setting. MULTIPLE SCLEROSIS JOURNAL.
Irzan, H., O’Reilly, H., Ourselin, S., Marlow, N., & Melbourne, A. (2019). A framework for memory performance prediction from brain volume in preterm-born adolescents. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).
Wang, G., Shapey, J., Li, W., Dorent, R., Dimitriadis, A., Bisdas, S., Paddick, I., Bradford, R., Zhang, S., & Ourselin, S. (2019). Correction to: Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part II.
Brusaferri, L., Emond, E., Atkinson, D., Ourselin, S., Hutton, B., Arridge, S., & Thielemans, K. (2019). Joint reconstruction of activity and attenuation in non-TOF PET using a synergistic prior to enforce structural similarities. 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
van der Merwe, J., van der Veeken, L., Ferraris, S., Gsell, W., Himmelreich, U., Toelen, J., Ourselin, S., Melbourne, A., Vercauteren, T., & Deprest, J. (2019). Publisher Correction: Early neuropathological and neurobehavioral consequences of preterm birth in a rabbit model. Scientific Reports.
Coath, W., Modat, M., Cardoso, J., Markiewicz, P., Lane, C., Parker, T., Keuss, S., Buchanan, S., Burgos, N., & Dickson, J. (2019). P4‐319: CENTILOID SCALE TRANSFORMATION OF FLORBETAPIR DATA ACQUIRED ON A PET/MR SCANNER. Alzheimer's & Dementia.
Orbes-Arteaga, M., Sørensen, L., Cardoso, J., Modat, M., Ourselin, S., Sommer, S., Nielsen, M., Igel, C., & Pai, A. (2019). PADDIT: probabilistic augmentation of data using diffeomorphic image transformation. Medical Imaging 2019: Image Processing.
Lazaridis, G., Lorenzi, M., Ourselin, S., & Garway-Heath, D. (2019). Enhancing OCT signal by fusion of GANs: improving statistical power of glaucoma clinical trials. Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part I 22.
Sudre, C., Anson, B., Ingala, S., Lane, C., Jimenez, D., Haider, L., Varsavsky, T., Tanno, R., Smith, L., & Ourselin, S. (2019). Let’s agree to disagree: Learning highly debatable multirater labelling. Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part IV 22.
Brownlee, W., Solanky, B., Prados, F., Yiannakas, M., Da Mota, P., Riemer, F., Cardoso, M., Ourselin, S., Golay, X., & Wheeler-Kingshott, C. (2019). Cortical grey matter sodium accumulation is associated with disability and secondary progressive disease course in relapse-onset multiple sclerosis. Journal of Neurology, Neurosurgery & Psychiatry.
Sparks, R., Vakharia, V., Rodionov, R., Vos, S., McEvoy, A., Miserocchi, A., Duncan, J., & Ourselin, S. (2019). P35 Ability to quantify stereoelectroencephalography (SEEG) electrode trajectory proximity to vessels across imaging protocols. .
Shapey, J., Wang, G., Dorent, R., Dimitriadis, A., Li, W., Paddick, I., Kitchen, N., Bisdas, S., Saeed, S., & Ourselin, S. (2019). An artificial intelligence framework for automatic segmentation and volumetry of vestibular schwannomas from contrast-enhanced T1-weighted and high-resolution T2-weighted MRI. Journal of neurosurgery.
Aksman, L., Scelsi, M., Marquand, A., Alexander, D., Ourselin, S., & Altmann, A. (2019). Modeling longitudinal imaging biomarkers with parametric Bayesian multi‐task learning. Human brain mapping.
Wang, G., Li, W., Aertsen, M., Deprest, J., Ourselin, S., & Vercauteren, T. (2019). Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks. Neurocomputing.
Cardoso, M., Feragen, A., Glocker, B., Konukoglu, E., Oguz, I., Unal, G., & Vercauteren, T. (2019). Medical Imaging with Deep Learning: MIDL 2019--Extended Abstract Track. arXiv preprint arXiv:1907.08612.
Salvadó, G., Brugulat-Serrat, A., Sudre, C., Grau-Rivera, O., Suárez-Calvet, M., Falcon, C., Fauria, K., Cardoso, M., Barkhof, F., & Molinuevo, J. (2019). Spatial patterns of white matter hyperintensities associated with Alzheimer’s disease risk factors in a cognitively healthy middle-aged cohort. Alzheimer's research & therapy.
Eaton-Rosen, Z., Varsavsky, T., Ourselin, S., & Cardoso, M. (2019). As easy as 1, 2... 4? uncertainty in counting tasks for medical imaging. Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part IV 22.
De Marco, M., Ourselin, S., & Venneri, A. (2019). Age and hippocampal volume predict distinct parts of default mode network activity. Scientific Reports.
Xia, W., Maneas, E., Huynh, N., Singh, M., Brown, N., Ourselin, S., Gilbert-Kawai, E., West, S., & Desjardins, A. (2019). Imaging of human peripheral blood vessels during cuff occlusion with a compact LED-based photoacoustic and ultrasound system. Photons Plus Ultrasound: Imaging and Sensing 2019.
Eshaghi, A., Kievit, R., Prados, F., Sudre, C., Nicholas, J., Cardoso, M., Chan, D., Nicholas, R., Ourselin, S., & Greenwood, J. (2019). Applying causal models to explore the mechanism of action of simvastatin in progressive multiple sclerosis. Proceedings of the National Academy of Sciences.
Bano, S., Vasconcelos, F., Tella Amo, M., Dwyer, G., Gruijthuijsen, C., Deprest, J., Ourselin, S., Vander Poorten, E., Vercauteren, T., & Stoyanov, D. (2019). Deep sequential mosaicking of fetoscopic videos. Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part I 22.
Vakharia, V., Sparks, R., Pérez-Garcıa, F., Granados, A., Miserocchi, A., McEvoy, A., Ourselin, S., & Duncan, J. (2019). Machine learning for stereotactic neurosurgery: A prospective implementation and validation. Hugh Cairns Prize Essay.
Moccia, M., Prados, F., Filippi, M., Rocca, M., Valsasina, P., Brownlee, W., Zecca, C., Gallo, A., Rovira, A., & Gass, A. (2019). Longitudinal spinal cord atrophy in multiple sclerosis using the generalized boundary shift integral. Annals of Neurology.
Ebner, M., Patel, P., Atkinson, D., Caselton, L., Firmin, L., Amin, Z., Bainbridge, A., De Coppi, P., Taylor, S., & Ourselin, S. (2019). Super‐resolution for upper abdominal MRI: Acquisition and post‐processing protocol optimization using brain MRI control data and expert reader validation. Magnetic resonance in medicine.
Simpson, A., Antonelli, M., Bakas, S., Bilello, M., Farahani, K., Van Ginneken, B., Kopp-Schneider, A., Landman, B., Litjens, G., & Menze, B. (2019). A large annotated medical image dataset for the development and evaluation of segmentation algorithms. arXiv preprint arXiv:1902.09063.
Dorent, R., Joutard, S., Modat, M., Ourselin, S., & Vercauteren, T. (2019). Hetero-modal variational encoder-decoder for joint modality completion and segmentation. Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part II 22.
Lorenzi, M., Filippone, M., Frisoni, G., Alexander, D., & Ourselin, S. (2019). Probabilistic disease progression modeling to characterize diagnostic uncertainty: application to staging and prediction in Alzheimer's disease. NeuroImage.
Li, K., Vakharia, V., Sparks, R., Rodionov, R., Vos, S., McEvoy, A., Miserocchi, A., Wang, M., Ourselin, S., & Duncan, J. (2019). Stereoelectroencephalography electrode placement: detection of blood vessel conflicts. Epilepsia.
Moriconi, S., Rehwald, R., Zuluaga, M., Jäger, H., Nachev, P., Ourselin, S., & Cardoso, M. (2019). Towards quantifying neurovascular resilience. Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting: First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings 1.
Li, K., Vakharia, V., Sparks, R., França, L., Granados, A., McEvoy, A., Miserocchi, A., Wang, M., Ourselin, S., & Duncan, J. (2019). Optimizing trajectories for cranial laser interstitial thermal therapy using computer-assisted planning: a machine learning approach. Neurotherapeutics.
Bocchetta, M., Iglesias, J., Russell, L., Greaves, C., Marshall, C., Scelsi, M., Cash, D., Ourselin, S., Warren, J., & Rohrer, J. (2019). Segmentation of medial temporal subregions reveals early right-sided involvement in semantic variant PPA. Alzheimer's research & therapy.
Bennett, O., Kanber, B., Hoskote, C., Cardoso, M., Ourselin, S., Duncan, J., & Winston, G. (2019). Learning to see the invisible: A data‐driven approach to finding the underlying patterns of abnormality in visually normal brain magnetic resonance images in patients with temporal lobe epilepsy. Epilepsia.
Vakharia, N., Xiao, F., O’Keeffe, A., Sparks, R., McEvoy, W., Miserocchi, A., Ourselin, S., & Duncan, S. (2019). P30 A PRISMA systematic review and meta-analysis of open and novel ‘minimally invasive’techniques for mesial temporal lobe epilepsy (MTLE). .
Joutard, S., Dorent, R., Isaac, A., Ourselin, S., Vercauteren, T., & Modat, M. (2019). Permutohedral attention module for efficient non-local neural networks. Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part VI 22.
Cury, C., Durrleman, S., Cash, D., Lorenzi, M., Nicholas, J., Bocchetta, M., van Swieten, J., Borroni, B., Galimberti, D., & Masellis, M. (2019). Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort. NeuroImage.
Orbes-Arteainst, M., Cardoso, J., Sørensen, L., Igel, C., Ourselin, S., Modat, M., Nielsen, M., & Pai, A. (2019). Knowledge distillation for semi-supervised domain adaptation. OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging: Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings 2.
Li, K., Vakharia, V., Sparks, R., França, L., McEvoy, A., Miserocchi, A., Ourselin, S., & Duncan, J. (2019). P31 Optimising trajectories in computer assisted planning for cranial laser interstitial thermal therapy: a machine learning approach. .
Haddow, L., Sudre, C., Sokolska, M., Gilson, R., Williams, I., Golay, X., Ourselin, S., Winston, A., Sabin, C., & Cardoso, M. (2019). Magnetic resonance imaging of cerebral small vessel disease in men living with HIV and HIV-negative men aged 50 and above. AIDS research and human retroviruses.
Zhuang, X., Li, L., Payer, C., Štern, D., Urschler, M., Heinrich, M., Oster, J., Wang, C., Smedby, Ö., & Bian, C. (2019). Evaluation of algorithms for multi-modality whole heart segmentation: an open-access grand challenge. Medical image analysis.
Antonelli, M., Johnston, E., Dikaios, N., Cheung, K., Sidhu, H., Appayya, M., Giganti, F., Simmons, L., Freeman, A., & Allen, C. (2019). Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists. European radiology.
Ahmad, M., Ourak, M., Gruijthuijsen, C., Legrand, J., Vercauteren, T., Deprest, J., Ourselin, S., & Vander Poorten, E. (2019). Design and shared control of a flexible endoscope with autonomous distal tip alignment. 2019 19th International Conference on Advanced Robotics (ICAR).
Vakharia, V., Sparks, R., Vos, S., McEvoy, A., Miserocchi, A., Ourselin, S., & Duncan, J. (2019). The effect of vascular segmentation methods on stereotactic trajectory planning for drug-resistant focal epilepsy: a retrospective cohort study. World neurosurgery: X.
Aughwane, R., Sokolska, M., Flouri, D., Spencer, R., Maksym, K., Mufti, N., Bainbridge, A., Atkinson, D., Kendall, G., & Deprest, J. (2019). Placental Perfusion and Fetal Blood Oxygen Saturation Measured with MRI in Normal Pregnancy and Fetal Growth Restriction.. Reproductive Sciences.
Ebner, M., Patel, P., Atkinson, D., Caselton, L., Taylor, S., Bainbridge, A., Ourselin, S., Chouhan, M., & Vercauteren, T. (2019). Reconstruction-based super-resolution for high-resolution abdominal MRI: A preliminary study. .
Kläser, K., Varsavsky, T., Markiewicz, P., Vercauteren, T., Atkinson, D., Thielemans, K., Hutton, B., Cardoso, M., & Ourselin, S. (2019). Improved MR to CT synthesis for PET/MR attenuation correction using imitation learning. Simulation and Synthesis in Medical Imaging: 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings.
Sobotka, D., Licandro, R., Ebner, M., Schwartz, E., Vercauteren, T., Ourselin, S., Kasprian, G., Prayer, D., & Langs, G. (2019). Reproducibility of functional connectivity estimates in motion corrected fetal fMRI. Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis: First International Workshop, SUSI 2019, and 4th International Workshop, PIPPI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings 4.
Wang, G., Li, W., Ourselin, S., & Vercauteren, T. (2019). Automatic brain tumor segmentation based on cascaded convolutional neural networks with uncertainty estimation. Frontiers in computational neuroscience.
Dwyer, G., Alles, E., Colchester, R., Maneas, E., Ourselin, S., Vercauteren, T., Deprest, J., Vander Poorten, E., De Coppi, P., & Desjardins, A. (2019). Robotic Control of All-Optical Ultrasound Imaging. .
Kanber, B., Nachev, P., Barkhof, F., Calvi, A., Cardoso, J., Cortese, R., Prados, F., Sudre, C., Tur, C., & Ourselin, S. (2019). High-dimensional detection of imaging response to treatment in multiple sclerosis. NPJ digital medicine.
Wang, G., Li, W., Ourselin, S., & Vercauteren, T. (2019). Automatic brain tumor segmentation using convolutional neural networks with test-time augmentation. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part II 4.
Li, W., Milletarì, F., Xu, D., Rieke, N., Hancox, J., Zhu, W., Baust, M., Cheng, Y., Ourselin, S., & Cardoso, M. (2019). Privacy-preserving federated brain tumour segmentation. Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings 10.
Flouri, D., Owen, D., Aughwane, R., Mufti, N., Sokolska, M., Atkinson, D., Kendall, G., Bainbridge, A., Vercauteren, T., & David, A. (2019). Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling. Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part III 22.
Galovic, M., Baudracco, I., Wright-Goff, E., Pillajo, G., Nachev, P., Wandschneider, B., Woermann, F., Thompson, P., Baxendale, S., & McEvoy, A. (2019). Association of piriform cortex resection with surgical outcomes in patients with temporal lobe epilepsy. JAMA neurology.
Leijenaar, J., Groot, C., Sudre, C., Bergeron, D., Leeuwis, A., Cardoso, M., Carrasco, F., Laforce Jr, R., Barkhof, F., & van der Flier, W. (2019). Comorbid amyloid-β pathology affects clinical and imaging features in VCD. Alzheimer's & Dementia.
Zhao, T., Desjardins, A., Ourselin, S., Vercauteren, T., & Xia, W. (2019). Minimally invasive photoacoustic imaging: Current status and future perspectives. Photoacoustics.
Della Costanza, M., Vakharia, V., Li, K., Mancini, M., Vos, S., Diehl, B., Winston, J., McEvoy, A., Miserocchi, A., & Scerrati, M. (2019). TP3-5 Structural connectivity driven stereoelectroencephalography (SEEG) electrode targeting in suspected pseudotemporal and temporal plus epilepsy. .
Vandebroek, T., Ourak, M., Gruijthuijsen, C., Javaux, A., Legrand, J., Vercauteren, T., Ourselin, S., Deprest, J., & Vander Poorten, E. (2019). Macro-micro multi-arm robot for single-port access surgery. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Cash, D., Modat, M., Coath, W., Cardoso, J., Markiewicz, P., Lane, C., Parker, T., Keuss, S., Buchanan, S., & Burgos, N. (2019). IC‐P‐006: LONGITUDINAL RATES OF AMYLOID ACCUMULATION IN A 70‐YEAR OLD BRITISH BIRTH COHORT. Alzheimer's & Dementia.
Bragman, F., Tanno, R., Ourselin, S., Alexander, D., & Cardoso, J. (2019). Stochastic filter groups for multi-task cnns: Learning specialist and generalist convolution kernels. Proceedings of the IEEE/CVF International Conference on Computer Vision.
Orbes-Arteaga, M., Cardoso, J., Sørensen, L., Igel, C., Ourselin, S., Modat, M., Nielsen, M., & Pai, A. (2019). Knowledge distillation for semi-supervised domain adaptation. arXiv preprint arXiv:1908.07355.
Antonelli, M., Cardoso, M., Johnston, E., Appayya, M., Presles, B., Modat, M., Punwani, S., & Ourselin, S. (2019). GAS: A genetic atlas selection strategy in multi-atlas segmentation framework. Medical image analysis.
Dwyer, G., Colchester, R., Alles, E., Maneas, E., Ourselin, S., Vercauteren, T., Deprest, J., Vander Poorten, E., De Coppi, P., & Desjardins, A. (2019). Robotic control of a multi-modal rigid endoscope combining optical imaging with all-optical ultrasound. 2019 International Conference on Robotics and Automation (ICRA).
Cash, D., Modat, M., Coath, W., Cardoso, J., Markiewicz, P., Lane, C., Parker, T., Keuss, S., Buchanan, S., & Burgos, N. (2019). P3‐412: LONGITUDINAL RATES OF AMYLOID ACCUMULATION IN A 70‐YEAR‐OLD BRITISH BIRTH COHORT. Alzheimer's & Dementia.
Everson, M., Herrera, L., Li, W., Luengo, I., Ahmad, O., Banks, M., Magee, C., Alzoubaidi, D., Hsu, H., & Graham, D. (2019). Artificial intelligence for the real-time classification of intrapapillary capillary loop patterns in the endoscopic diagnosis of early oesophageal squamous cell carcinoma: A proof-of-concept study. United European gastroenterology journal.
Bragman, F., Tanno, R., Ourselin, S., Alexander, D., & Cardoso, M. (2019). Learning task-specific and shared representations in medical imaging. Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part IV 22.
Shaw, R., Sudre, C., Ourselin, S., & Cardoso, M. (2019). MRI k-space motion artefact augmentation: model robustness and task-specific uncertainty. .
Smith, L., Melbourne, A., Owen, D., Cardoso, M., Sudre, C., Tillin, T., Sokolska, M., Atkinson, D., Chaturvedi, N., & Ourselin, S. (2019). Cortical cerebral blood flow in ageing: effects of haematocrit, sex, ethnicity and diabetes. European radiology.
Ourselin, S., Zombori, G., Nowell, M., Sparks, R., Duncan, J., Rodionov, R., McEvoy, A., Miserocchi, A., Diehl, B., & Wehner, T. (2019). System and method for computer-assisted planning of a trajectory for a surgical insertion into a skull. .
Firth, N., Primativo, S., Marinescu, R., Shakespeare, T., Suarez-Gonzalez, A., Lehmann, M., Carton, A., Ocal, D., Pavisic, I., & Paterson, R. (2019). Longitudinal neuroanatomical and cognitive progression of posterior cortical atrophy. Brain.
Kuijf, H., Biesbroek, J., De Bresser, J., Heinen, R., Andermatt, S., Bento, M., Berseth, M., Belyaev, M., Cardoso, M., & Casamitjana, A. (2019). Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge. IEEE transactions on medical imaging.
Vakharia, N., Manchini, M., Vos, B., Li, K., McEvoy, A., Sparks, R., Ourselin, S., & Duncan, S. (2019). TP3-4 Changes in whole brain connectomes with simulated laser interstitial thermal therapy (LITT) using seizure free and non-seizure free ablation cavities in mesial temporal sclerosis: a graph theory approach. .
Tella-Amo, M., Peter, L., Shakir, D., Deprest, J., Stoyanov, D., Vercauteren, T., & Ourselin, S. (2019). Pruning strategies for efficient online globally consistent mosaicking in fetoscopy. Journal of Medical Imaging.
Johnston, E., Bonet-Carne, E., Ferizi, U., Yvernault, B., Pye, H., Patel, D., Clemente, J., Piga, W., Heavey, S., & Sidhu, H. (2019). VERDICT MRI for prostate cancer: intracellular volume fraction versus apparent diffusion coefficient. Radiology.
Granados, A., Schweiger, M., Vakharia, V., McEvoy, A., Miserocchi, A., Duncan, J., Sparks, R., & Ourselin, S. (2019). A Generative Model of Hyperelastic Strain Energy Density Functions for Real-Time Simulation of Brain Tissue Deformation. Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part V 22.
Sudre, C., Anson, B., Ingala, S., Lane, C., Jimenez, D., Haider, L., Varsavsky, T., Smith, L., Ourselin, S., & Jäger, R. (2019). 3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects. International Conference on Medical Imaging with Deep Learning.
Mancini, M., Vos, S., Vakharia, V., O'Keeffe, A., Trimmel, K., Barkhof, F., Dorfer, C., Soman, S., Winston, G., & Wu, C. (2019). Automated fiber tract reconstruction for surgery planning: extensive validation in language-related white matter tracts. NeuroImage: Clinical.
Hyde, E., Berger, L., Ramachandran, N., Hughes-Hallett, A., Pavithran, N., Tran, M., Ourselin, S., Bex, A., & Mumtaz, F. (2019). Interactive virtual 3D models of renal cancer patient anatomies alter partial nephrectomy surgical planning decisions and increase surgeon confidence compared to volume-rendered images. International journal of computer assisted radiology and surgery.
Weston, P., Toussaint, N., Poole, T., Simpson, I., Nicholas, J., Lehmann, M., Modat, M., Daga, P., Ryan, N., & Liang, Y. (2019). P3‐419: MEASURING CORTICAL MEAN DIFFUSIVITY TO ASSESS EARLY MICROSTRUCTURAL CORTICAL CHANGE IN PRESYMPTOMATIC AUTOSOMAL DOMINANT ALZHEIMER'S DISEASE. Alzheimer's & Dementia.
Mutsaerts, H., Mirza, S., Petr, J., Thomas, D., Cash, D., Bocchetta, M., De Vita, E., Metcalfe, A., Shirzadi, Z., & Robertson, A. (2019). Cerebral perfusion changes in presymptomatic genetic frontotemporal dementia: a GENFI study. Brain.
Sudre, C., Cardoso, M., Modat, M., & Ourselin, S. (2019). Imaging biomarkers in Alzheimer’s. Handbook of Medical Image Computing and Computer Assisted Intervention.
Shapey, J., Vos, S., Vercauteren, T., Bradford, R., Saeed, S., Bisdas, S., & Ourselin, S. (2019). Clinical applications for diffusion MRI and tractography of cranial nerves within the posterior fossa: a systematic review. Frontiers in neuroscience.
Gruijthuijsen, C., García-Pereza-Herrera, L., De Smet, J., Vercauteren, T., Ourselin, S., Stoyanov, D., Deprest, J., & Vander Poorten, E. (2019). Hybrid Visual Servoing for Synergistic Endoscope Guidance. 19th International Conference on Advanced Robotics, Date: 2019/12/02-2019/12/06, Location: Belo Horizonte, Brazil.
Li, W., Milletarì, F., Xu, D., Rieke, N., Hancox, J., Zhu, W., Baust, M., Cheng, Y., Ourselin, S., & Cardoso, M. (2019). Machine learning in medical imaging. 10th international workshop, MLMI.
Orbes-Arteaga, M., Varsavsky, T., Sudre, C., Eaton-Rosen, Z., Haddow, L., Sørensen, L., Nielsen, M., Pai, A., Ourselin, S., & Modat, M. (2019). Multi-domain adaptation in brain MRI through paired consistency and adversarial learning. Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data: First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings 1.
Rodionov, R., O’Keeffe, A., Nowell, M., Rizzi, M., Vakharia, V., Wykes, V., Eriksson, S., Miserocchi, A., McEvoy, A., & Ourselin, S. (2019). Increasing the accuracy of 3D EEG implantations. Journal of Neurosurgery.
Sudre, C., Bocchetta, M., Heller, C., Convery, R., Neason, M., Moore, K., Cash, D., Thomas, D., Woollacott, I., & Foiani, M. (2019). White matter hyperintensities in progranulin-associated frontotemporal dementia: A longitudinal GENFI study. NeuroImage: Clinical.
Mehdipour Ghazi, M., Nielsen, M., Pai, A., Cardoso, M., Modat, M., Ourselin, S., & Sørensen, L. (2019). Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling. arXiv e-prints.
Flouri, D., Pratt, R., Sokolska, M., Mufti, N., Atkinson, D., Kendall, G., Bainbridge, A., Vercauteren, T., Ourselin, S., & David, A. (2019). Model-Driven Registration for 3D Placental Diffusion-Weighted MRI. .
Vercauteren, T., Ourselin, S., Kasprian, G., Prayer, D., & Langs, G. (2019). Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI. Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis: First International Workshop, SUSI 2019, and 4th International Workshop, PIPPI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings.
Legrand, J., Javaux, A., Ourak, M., Wenmakers, D., Vercauteren, T., Deprest, J., Ourselin, S., Denis, K., & Vander Poorten, E. (2019). Handheld active add-on control unit for a cable-driven flexible endoscope. Frontiers in Robotics and AI.
Wang, G., Shapey, J., Li, W., Dorent, R., Dimitriadis, A., Bisdas, S., Paddick, I., Bradford, R., Zhang, S., & Ourselin, S. (2019). Automatic segmentation of vestibular schwannoma from T2-weighted MRI by deep spatial attention with hardness-weighted loss. Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part II 22.
Aughwane, R., Schaaf, C., Hutchinson, J., Virasami, A., Zuluaga, M., Sebire, N., Arthurs, O., Vercauteren, T., Ourselin, S., & Melbourne, A. (2019). Micro-CT and histological investigation of the spatial pattern of feto-placental vascular density. Placenta.
Xie, Y., Maneas, E., Islam, S., Peveler, W., Shapey, J., Xia, W., Ourselin, S., Parkin, I., Desjardins, A., & Vercauteren, T. (2019). Soft optically tuneable fluorescence phantoms based on gel wax and quantum dots: a tissue surrogate for fluorescence imaging validation. Molecular-Guided Surgery: Molecules, Devices, and Applications V.
Van Der Merwe, J., Van Der Veeken, L., Ferraris, S., Gsell, W., Himmelreich, U., Toelen, J., Ourselin, S., Melbourne, A., Vercauteren, T., & Deprest, J. (2019). Early neuropathological and neurobehavioral consequences of preterm birth in a rabbit model. Scientific reports.
Mehdipour Ghazi, M., Nielsen, M., Pai, A., Modat, M., Cardoso, M., Ourselin, S., & Sørensen, L. (2019). On the initialization of long short-term memory networks. Neural Information Processing: 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part I 26.
Byrne, M., Aughwane, R., James, J., Hutchinson, C., Arthurs, O., Sebire, N., Ourselin, S., David, A., Melbourne, A., & Clark, A. (2019). Structure-function relationships in the feto-placental circulation from in silico interpretation of micro-CT vascular structures. Placenta.
Ma, D., Holmes, H., Cardoso, M., Modat, M., Harrison, I., Powell, N., O’Callaghan, J., Ismail, O., Johnson, R., & O’Neill, M. (2019). Study the longitudinal in vivo and cross-sectional ex vivo brain volume difference for disease progression and treatment effect on mouse model of tauopathy using automated MRI structural parcellation. Frontiers in Neuroscience.
Marcus, H., Vakharia, V., Sparks, R., Rodionov, R., Kitchen, N., McEvoy, A., Miserocchi, A., Thorne, L., Ourselin, S., & Duncan, J. (2019). WP1-15 Computer-assisted versus manual planning for stereotactic brain biopsy: retrospective comparative pilot study. Journal of Neurology, Neurosurgery and Psychiatry.
Canas, L., Sudre, C., De Vita, E., Nihat, A., Mok, T., Slattery, C., Paterson, R., Foulkes, A., Hyare, H., & Cardoso, M. (2019). Prion disease diagnosis using subject-specific imaging biomarkers within a multi-kernel Gaussian process. NeuroImage: Clinical.
Vakharia, V., Sparks, R., Li, K., O'Keeffe, A., Pérez‐García, F., França, L., Ko, A., Wu, C., Aronson, J., & Youngerman, B. (2019). Multicenter validation of automated trajectories for selective laser amygdalohippocampectomy. Epilepsia.
Haddow, L., Godi, C., Sokolska, M., Cardoso, M., Oliver, R., Winston, A., Stöhr, W., Clarke, A., Chen, F., & Williams, I. (2019). Brain perfusion, regional volumes, and cognitive function in human immunodeficiency virus–positive patients treated with protease inhibitor monotherapy. Clinical Infectious Diseases.
Dorent, R., Li, W., Ekanayake, J., Ourselin, S., & Vercauteren, T. (2019). Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets. International Conference on Medical Imaging with Deep Learning.
Shapey, J., Xie, Y., Nabavi, E., Bradford, R., Saeed, S., Ourselin, S., & Vercauteren, T. (2019). Intraoperative multispectral and hyperspectral label‐free imaging: A systematic review of in vivo clinical studies. Journal of biophotonics.
Cardoso, F., Senkus, E., Costa, A., Papadopoulos, E., Aapro, M., André, F., Harbeck, N., Lopez, B., Barrios, C., & Bergh, J. (2018). 4th ESO–ESMO international consensus guidelines for advanced breast cancer (ABC 4). Annals of Oncology.
John, N., Solanky, B., DeAngelis, F., Stutters, J., Prados, F., Plantone, D., Tur, C., Doshi, A., Monteverdi, A., & MacManus, D. (2018). A Neurometabolic profile of SPMS: The relationship between brain metabolites and clinical disability. EUROPEAN JOURNAL OF NEUROLOGY.
Abaei, M., Baas, K., Petr, J., Hill, D., Wolz, R., Kuijer, J., Sokolska, M., Barkhof, F., Ourselin, S., & Duncan, J. (2018). P3‐422: PROTOCOL HARMONISATION AND IN‐VIVO COMPARISON OF ARTERIAL SPIN LABELLING PERFUSION MRI FOR MULTICENTER CLINICAL TRIALS. Alzheimer's & Dementia.
Blaiotta, C., Freund, P., Cardoso, M., & Ashburner, J. (2018). Generative diffeomorphic modelling of large MRI data sets for probabilistic template construction. NeuroImage.
Eaton-Rosen, Z., Bragman, F., Bisdas, S., Ourselin, S., & Cardoso, M. (2018). Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions. Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I.
Brownlee, W., Altmann, D., Miszkiel, K., Prados, F., Eshaghi, A., Ourselin, S., Wheeler-Kingshott, C., Barkhof, F., & Ciccarelli, O. (2018). Early focal inflammatory disease is associated with long-term cognitive performance in relapse-onset multiple sclerosis.. MULTIPLE SCLEROSIS JOURNAL.
Ebner, M., Modat, M., Ferraris, S., Ourselin, S., & Vercauteren, T. (2018). Forward-backward splitting in deformable image registration: A demons approach. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).
Eshaghi, A., Marinescu, R., Young, A., Firth, N., Prados, F., Jorge Cardoso, M., Tur, C., De Angelis, F., Cawley, N., & Brownlee, W. (2018). Progression of regional grey matter atrophy in multiple sclerosis. Brain.
Legrand, J., Ourak, M., Javaux, A., Gruijthuijsen, C., Vercauteren, T., Deprest, J., Ourselin, S., & Vander Poorten, E. (2018). From a Disposable Ureteroscope to an Active Lightweight Fetoscope. CRAS, Date: 2018/09/10-2018/09/11, Location: London.
Sari, H., Erlandsson, K., Marner, L., Law, I., Larsson, H., Thielemans, K., Ourselin, S., Arridge, S., Atkinson, D., & Hutton, B. (2018). Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with 11C-SB201745. EJNMMI research.
Cury, C., Durrleman, S., Cash, D., Lorenzi, M., Nicholas, J., Bocchetta, M., Van Swieten, J., Borroni, B., Galimberti, D., & Masellis, M. (2018). Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: applied to GENFI study. bioRxiv.
Markiewicz, P., Ehrhardt, M., Erlandsson, K., Noonan, P., Barnes, A., Schott, J., Atkinson, D., Arridge, S., Hutton, B., & Ourselin, S. (2018). NiftyPET: a high-throughput software platform for high quantitative accuracy and precision PET imaging and analysis. Neuroinformatics.
Cortese, R., Prados, F., Brownlee, W., Tur, C., Chard, D., Ourselin, S., Wheeler-Kingshott, C., Ciccarelli, O., & Barkhof, F. (2018). Disappearing lesions after a clinically isolated syndrome. MULTIPLE SCLEROSIS JOURNAL.
Bodenstedt, S., Allan, M., Agustinos, A., Du, X., Garcia-Peraza-Herrera, L., Kenngott, H., Kurmann, T., Müller-Stich, B., Ourselin, S., & Pakhomov, D. (2018). Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery. arXiv preprint arXiv:1805.02475.
Walker, S., Melbourne, A., O'Reilly, H., Beckmann, J., Eaton-Rosen, Z., Ourselin, S., & Marlow, N. (2018). Somatosensory function and pain in extremely preterm young adults from the UK EPICure cohort: sex-dependent differences and impact of neonatal surgery. British journal of anaesthesia.
Javaux, A., Bouget, D., Gruijthuijsen, C., Stoyanov, D., Vercauteren, T., Ourselin, S., Deprest, J., Denis, K., & Vander Poorten, E. (2018). A mixed-reality surgical trainer with comprehensive sensing for fetal laser minimally invasive surgery. International journal of computer assisted radiology and surgery.
Young, A., Marinescu, R., Oxtoby, N., Bocchetta, M., Yong, K., Firth, N., Cash, D., Thomas, D., Dick, K., & Cardoso, J. (2018). Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference. Nature communications.
Keuss, S., Slattery, C., Parker, T., Nicholas, J., Paterson, R., Foulkes, A., Malone, I., Thomas, D., Modat, M., & Cash, D. (2018). P3‐437: LONGITUDINAL CORTICAL THICKNESS IN SPORADIC YOUNG ONSET ALZHEIMER'S DISEASE. Alzheimer's & Dementia.
Xiao, G., Bonmati, E., Thompson, S., Evans, J., Hipwell, J., Nikitichev, D., Gurusamy, K., Ourselin, S., Hawkes, D., & Davidson, B. (2018). Electromagnetic tracking in image‐guided laparoscopic surgery: Comparison with optical tracking and feasibility study of a combined laparoscope and laparoscopic ultrasound system. Medical physics.
Nikitichev, D., Mosse, S., Ourselin, S., & Vercauteren, T. (2018). Novel 3D printing technology for direct fabrication of tissue-mimicking phantoms (Conference Presentation). Photons Plus Ultrasound: Imaging and Sensing 2018.
Marcus, H., Vakharia, V., Ourselin, S., Duncan, J., Tisdall, M., & Aquilina, K. (2018). Robot-assisted stereotactic brain biopsy: systematic review and bibliometric analysis. Child's Nervous System.
Melbourne, A., Pratt, R., Owen, D., Sokolska, M., Bainbridge, A., Atkinson, D., Deprest, J., Kendall, G., Vercauteren, T., & David, A. (2018). Placental Insufficiency Investigated with Multi-compartment Placental MRI. .
Kläser, K., Markiewicz, P., Ranzini, M., Li, W., Modat, M., Hutton, B., Atkinson, D., Thielemans, K., Cardoso, M., & Ourselin, S. (2018). Deep boosted regression for MR to CT synthesis. Simulation and Synthesis in Medical Imaging: Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings 3.
Hekmatnia, F., Yousry, T., Barkhof, F., Bisdas, S., Cardoso, J., White, M., Ourselin, S., & Hekmatnia, F. (2018). Application Of Quantitative Neuroimaging (Qni) Segmentations In Dementia. Iranian Congress of Radiology.
Ebner, M., Wang, G., Li, W., Aertsen, M., Patel, P., Aughwane, R., Melbourne, A., Doel, T., David, A., & Deprest, J. (2018). An automated localization, segmentation and reconstruction framework for fetal brain MRI. Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I.
Marcus, H., Vercauteren, T., Ourselin, S., & Dorward, N. (2018). Corrigendum to “Intraoperative Ultrasound in Patients Undergoing Transsphenoidal Surgery for Pituitary Adenoma: Systematic Review”[World Neurosurgery 106 (2017) 680-685](S1878875017311543)(10.1016/j. wneu. 2017.07. 054). World Neurosurgery.
Battiston, M., Grussu, F., Schneider, T., Prados Carrasco, F., Ourselin, S., Wheeler-Kingshott, C., & Samson, R. (2018). Acceleration strategies for whole brain quantitative Magnetization Transfer Imaging. .
Vasconcelos, F., Mazomentos, E., Kelly, J., Ourselin, S., & Stoyanov, D. (2018). Relative pose estimation from image correspondences under a remote center of motion constraint. IEEE Robotics and Automation Letters.
Georgiadis, K., Wray, S., Ourselin, S., Warren, J., & Modat, M. (2018). Computational modelling of pathogenic protein spread in neurodegenerative diseases. PLoS one.
Sudre, C., Prados Carrasco, F., Cortese, R., Yiannakas, M., Kearney, H., Ciccarelli, O., Ourselin, S., Wheeler-Kingshott, C., & Cardoso, M. (2018). A fully unsupervised method for spinal cord lesion segmentationin multiple sclerosis. .
Sudre, C., Smith, L., Atkinson, D., Chaturvedi, N., Ourselin, S., Barkhof, F., Hughes, A., Jäger, H., & Cardoso, M. (2018). Cardiovascular risk factors and white matter hyperintensities: difference in susceptibility in South Asians compared with Europeans. Journal of the American Heart Association.
Brizmohun, M., Johnston, E., Latifoltojar, A., O'Callaghan, J., Bonet-Carne, E., Ferizi, U., Yvernault, B., Pye, H., Patel, D., & Clemente, J. (2018). The intracellular component of VERDICT (Vascular, Extracellular, and Restricted Diffusion for Cytometry in Tumors) MRI distinguishes Gleason 4 pattern better than apparent diffusion coefficient. .
Ten Kate, M., Sudre, C., den Braber, A., Konijnenberg, E., Nivard, M., Cardoso, M., Scheltens, P., Ourselin, S., Boomsma, D., & Barkhof, F. (2018). White matter hyperintensities and vascular risk factors in monozygotic twins. Neurobiology of aging.
Battiston, M., Grussu, F., Ianus, A., Schneider, T., Prados, F., Fairney, J., Ourselin, S., Alexander, D., Cercignani, M., & Gandini Wheeler‐Kingshott, C. (2018). An optimized framework for quantitative magnetization transfer imaging of the cervical spinal cord in vivo. Magnetic resonance in medicine.
Parker, T., Slattery, C., Nicholas, J., Paterson, R., Foulkes, A., Malone, I., Thomas, D., Modat, M., Cash, D., & Crutch, S. (2018). P2‐390: DIFFERENTIAL HIPPOCAMPAL SUBFIELD LOSS IN DIFFERENT PHENOTYPES OF YOUNG ONSET ALZHEIMER'S DISEASE. Alzheimer's & Dementia.
Arteaga, M., Sørensen, L., Cardoso, M., Modat, M., Ourselin, S., Sommer, S., Nielsen, M., Igel, C., & Pai, A. (2018). PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. arXiv preprint arXiv:1810.01928.
Sudre, C., Anson, B., Davagnanam, I., Schmitt, A., Mendelson, A., Prados, F., Smith, L., Atkinson, D., Hughes, A., & Chaturvedi, N. (2018). Bullseye's representation of cerebral white matter hyperintensities. Journal of Neuroradiology.
Singleton, E., Pijnenburg, Y., Sudre, C., Kochova, E., Groot, C., Papma, J., Ourselin, S., van Swieten, J., Barkhof, F., & Cardoso, M. (2018). PATTERNS OF GLUCOSE HYPOMETABOLISM, SUBCORTICAL ATROPHY AND WHITE MATTER HYPERINTENSITIES IN THE BEHAVIORAL VARIANT OF ALZHEIMER’S DISEASE. Alzheimer's & Dementia.
Thurin, B., Bloch, E., Nousias, S., Ourselin, S., Keane, P., & Bergeles, C. (2018). Retinal fundus imaging with a plenoptic sensor. Ophthalmic Technologies XXVIII.
Mitros, Z., Khadem, M., Seneci, C., Ourselin, S., Da Cruz, L., & Bergeles, C. (2018). Towards modelling multi-arm robots: Eccentric arrangement of concentric tubes. 2018 7th IEEE international conference on biomedical robotics and biomechatronics (Biorob).
Peter, L., Tella-Amo, M., Shakir, D., Attilakos, G., Wimalasundera, R., Deprest, J., Ourselin, S., & Vercauteren, T. (2018). Retrieval and registration of long-range overlapping frames for scalable mosaicking of in vivo fetoscopy. International journal of computer assisted radiology and surgery.
Scelsi, M., Khan, R., Lorenzi, M., Christopher, L., Greicius, M., Schott, J., Ourselin, S., & Altmann, A. (2018). Genetic study of multimodal imaging Alzheimer’s disease progression score implicates novel loci. Brain.
Vos, S., Micallef, C., Barkhof, F., Hill, A., Winston, G., Ourselin, S., & Duncan, J. (2018). Evaluation of prospective motion correction of high-resolution 3D-T2-FLAIR acquisitions in epilepsy patients. Journal of Neuroradiology.
Brugulat-Serrat, A., Salvadó, G., Sudre, C., Grau, O., Falcon, C., Sánchez-Benavides, G., Gramunt, N., Cardoso, M., Barkhof, F., & Molinuevo, J. (2018). Regional distribution of white matter hyperintensity correlates with cognition in the Alfa cohort. Alzheimer's & Dementia.
Morrell, S., Wojna, Z., Khoo, C., Ourselin, S., & Iglesias, J. (2018). Large-scale mammography CAD with deformable conv-nets. Image Analysis for Moving Organ, Breast, and Thoracic Images: Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings 3.
Garcia-Peraza-Herrera, L., Everson, M., Li, W., Luengo, I., Berger, L., Ahmad, O., Lovat, L., Wang, H., Wang, W., & Haidry, R. (2018). Interpretable fully convolutional classification of intrapapillary capillary loops for real-time detection of early squamous neoplasia. arXiv preprint arXiv:1805.00632.
Davidson, B., Kalitzeos, A., Carroll, J., Dubra, A., Ourselin, S., Michaelides, M., & Bergeles, C. (2018). Automatic cone photoreceptor localisation in healthy and Stargardt afflicted retinas using deep learning. Scientific reports.
Molteni, E., Veale, T., Altmann, A., Cardoso, M., Benzinger, T., Jack Jr, C., McDade, E., Morris, J., Rossor, M., & Ourselin, S. (2018). IC‐P‐165: ROBUST IDENTIFICATION OF BRAIN STRUCTURES MOST DISCRIMINATIVE IN DETECTING EARLY CHANGES IN AUTOSOMAL DOMINANT ALZHEIMER'S DISEASE. Alzheimer's & Dementia.
Eshaghi, A., Kievit, R., Prados, F., Sudre, C., Nicholas, J., Cardoso, M., Chan, D., Nicholas, R., Ourselin, S., & Greenwood, J. (2018). Application of mechanistic methods to clinical trials in multiple sclerosis: the simvastatin case. bioRxiv.
Bocchetta, M., Gordon, E., Cardoso, M., Modat, M., Ourselin, S., Warren, J., & Rohrer, J. (2018). Thalamic atrophy in frontotemporal dementia—Not just a C9orf72 problem. NeuroImage: Clinical.
Vasconcelos, F., Brandão, P., Vercauteren, T., Ourselin, S., Deprest, J., Peebles, D., & Stoyanov, D. (2018). Towards computer-assisted TTTS: Laser ablation detection for workflow segmentation from fetoscopic video. International Journal of Computer Assisted Radiology and Surgery.
Haddow, L., Godi, C., Sokolska, M., Cardoso, M., Oliver, R., Winston, A., Stöhr, W., Clarke, A., Chen, F., & Williams, I. (2018). Brain perfusion, regional volumes and cognitive function in HIV positive patients treated with protease inhibitor monotherapy. Clin Infect Dis.
Pratt, R., Melbourne, A., Owen, D., Sokolska, M., Bainbridge, A., Atkinson, D., Deprest, J., Kendall, G., Vercauteren, T., & Ourselin, S. (2018). Spatial Vascular Heterogeneity in the Normal Placenta Assessed with Multicompartment Placental MRI. .
Cash, D., Veale, T., Poole, T., Modat, M., Molteni, E., Cardoso, M., Benzinger, T., Jack Jr, C., McDade, E., & Bateman, R. (2018). P1‐410: SAMPLE SIZE ESTIMATES FOR SECONDARY PREVENTION STUDIES USING REGIONAL ATROPHY RATES. Alzheimer's & Dementia.
Bragman, F., Tanno, R., Eaton-Rosen, Z., Li, W., Hawkes, D., Ourselin, S., Alexander, D., McClelland, J., & Cardoso, M. (2018). Quality control in radiotherapy-treatment planning using multi-task learning and uncertainty estimation. .
Parker, T., Slattery, C., Zhang, J., Nicholas, J., Paterson, R., Foulkes, A., Malone, I., Thomas, D., Modat, M., & Cash, D. (2018). Cortical microstructure in young onset Alzheimer's disease using neurite orientation dispersion and density imaging. Human brain mapping.
Hütel, M., Melbourne, A., & Ourselin, S. (2018). Matrix Tri-Factorization for {BOLD}-f {MRI}. .
Aughwane, R., Sokolska, M., Bainbridge, A., Atkinson, D., Kendall, G., Deprest, J., Vercauteren, T., David, A., Ourselin, S., & Melbourne, A. (2018). MRI measurement of placental perfusion and fetal blood oxygen saturation in normal pregnancy and placental insufficiency. Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II 11.
Ebner, M., Chung, K., Prados, F., Cardoso, M., Chard, D., Vercauteren, T., & Ourselin, S. (2018). Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging. NeuroImage.
Moriconi, S., Zuluaga, M., Jäger, H., Nachev, P., Ourselin, S., & Cardoso, M. (2018). Inference of cerebrovascular topology with geodesic minimum spanning trees. IEEE transactions on medical imaging.
Kieselmann, J., Kamerling, C., Burgos, N., Menten, M., Fuller, C., Nill, S., Cardoso, M., & Oelfke, U. (2018). Geometric and dosimetric evaluations of atlas-based segmentation methods of MR images in the head and neck region. Physics in Medicine & Biology.
Hütel, M., Melbourne, A., Thomas, D., & Ourselin, S. (2018). Cardiac Cycle Estimation for BOLD-fMRI. Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III 11.
Crampsie, S., Strand, C., Tachrount, M., Thomas, D., Ourselin, S., Iglesias, J., & Holton, J. (2018). The effect of immersion in Fluorinert on the histological properties of fixed human brain tissue. Neuropathology and Applied Neurobiology.
Bocchetta, M., Iglesias, J., Scelsi, M., Cash, D., Cardoso, M., Modat, M., Altmann, A., Ourselin, S., Warren, J., & Rohrer, J. (2018). Hippocampal subfield volumetry: differential pattern of atrophy in different forms of genetic frontotemporal dementia. Journal of Alzheimer's Disease.
Parker, T., Slattery, C., Zhang, J., Nicholas, J., Paterson, R., Foulkes, A., Keuss, S., Malone, I., Thomas, D., & Modat, M. (2018). P1‐474: SURFACE‐BASED ANALYSIS OF CORTICAL GREY MATTER MICROSTRUCTURE IN YOUNG‐ONSET ALZHEIMER'S DISEASE USING NEURITE ORIENTATION DISPERSION AND DENSITY IMAGING (NODDI). Alzheimer's & Dementia.
Pichat, J., Iglesias, J., Yousry, T., Ourselin, S., & Modat, M. (2018). A survey of methods for 3D histology reconstruction. Medical image analysis.
Banerjee, J., Patel, P., Ushakov, F., Peebles, D., Deprest, J., Ourselin, S., Hawkes, D., & Vercauteren, T. (2018). A log-Euclidean and total variation based variational framework for computational sonography. Medical Imaging 2018: Image Processing.
Brusaferri, L., Bousse, A., Tsai, Y., Atkinson, D., Ourselin, S., Hutton, B., Arridge, S., & Thielemans, K. (2018). Maximum-likelihood estimation of emission and attenuation images in 3D PET from multiple energy window measurements. 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC).
Eugenio Iglesias, J., Modat, M., Peter, L., Stevens, A., Annunziata, R., Vercauteren, T., Lein, E., Fischl, B., & Ourselin, S. (2018). Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections. arXiv e-prints.
Cash, D., Bocchetta, M., Thomas, D., Dick, K., van Swieten, J., Borroni, B., Galimberti, D., Masellis, M., Tartaglia, M., & Rowe, J. (2018). Patterns of gray matter atrophy in genetic frontotemporal dementia: results from the GENFI study. Neurobiology of aging.
Atzeni, A., Jansen, M., Ourselin, S., & Iglesias, J. (2018). A probabilistic model combining deep learning and multi-atlas segmentation for semi-automated labelling of histology. Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II 11.
Jiskoot, L., Bocchetta, M., Nicholas, J., Cash, D., Thomas, D., Modat, M., Ourselin, S., Rombouts, S., Dopper, E., & Meeter, L. (2018). Presymptomatic white matter integrity loss in familial frontotemporal dementia in the GENFI cohort: A cross‐sectional diffusion tensor imaging study. Annals of clinical and translational neurology.
Du, X., Kurmann, T., Chang, P., Allan, M., Ourselin, S., Sznitman, R., Kelly, J., & Stoyanov, D. (2018). Articulated multi-instrument 2-D pose estimation using fully convolutional networks. IEEE transactions on medical imaging.
Salvadó, G., Brugulat-Serrat, A., Sudre, C., Grau, O., Falcon, C., Cardoso, M., Barkhof, F., Molinuevo, J., & Gispert, J. (2018). REGIONAL DISTRIBUTION OF WHITE MATTER HYPERINTENSITIES RELATED TO ALZHEIMER'S DISEASE RISK FACTORS IN THE ALFA COHORT. Alzheimer's & Dementia.
Granados, A., Mancini, M., Vos, S., Lucena, O., Vakharia, V., Rodionov, R., Miserocchi, A., McEvoy, A., Duncan, J., & Sparks, R. (2018). A machine learning approach to predict instrument bending in stereotactic neurosurgery. Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV 11.
Mablekos-Alexiou, A., Ourselin, S., Da Cruz, L., & Bergeles, C. (2018). Requirements based design and end-to-end dynamic modeling of a robotic tool for vitreoretinal surgery. 2018 IEEE International Conference on Robotics and Automation (ICRA).
Vakharia, V., Rodionov, R., McEvoy, A., Miserocchi, A., Sparks, R., O’Keeffe, A., Ourselin, S., & Duncan, J. (2018). Improving patient safety during introduction of novel medical devices through cumulative summation analysis. Journal of neurosurgery.
Mutsaerts, H., Petr, J., Thomas, D., De Vita, E., Cash, D., van Osch, M., Golay, X., Groot, P., Ourselin, S., & van Swieten, J. (2018). Comparison of arterial spin labeling registration strategies in the multi‐center GENetic frontotemporal dementia initiative (GENFI). Journal of Magnetic Resonance Imaging.
Aksman, L., Firth, N., Scelsi, M., Schott, J., Ourselin, S., & Altmann, A. (2018). P3‐420: AN EVENT BASED MODEL OF ALZHEIMER'S DISEASE IN APOE+ SUBJECTS USING ROBUST BIOMARKERS OF VOLUMETRIC CHANGE IN REGIONAL BRAIN STRUCTURE. Alzheimer's & Dementia.
Charalambous, T., Prados, F., Tur, C., Kanber, B., Ourselin, S., Chard, D., Clayden, J., Wheeler-Kingshott, C., Thompson, A., & Toosy, A. (2018). Longitudinal analysis framework of DWI data for reconstructing structural brain networks with application to Multiple Sclerosis. Computational Diffusion MRI: MICCAI Workshop, Québec, Canada, September 2017.
Young, A., Scelsi, M., Marinescu, R., Schott, J., Ourselin, S., Alexander, D., & Altmann, A. (2018). O3‐10‐04: GENOMEWIDE ASSOCIATION STUDY OF DATA‐DRIVEN ALZHEIMER'S DISEASE SUBTYPES. Alzheimer's & Dementia.
Lorenzi, M., Altmann, A., Gutman, B., Wray, S., Arber, C., Hibar, D., Jahanshad, N., Schott, J., Alexander, D., & Thompson, P. (2018). Susceptibility of brain atrophy to TRIB3 in Alzheimer’s disease, evidence from functional prioritization in imaging genetics. Proceedings of the National Academy of Sciences.
Hauptmann, A., Lucka, F., Betcke, M., Huynh, N., Adler, J., Cox, B., Beard, P., Ourselin, S., & Arridge, S. (2018). Model-based learning for accelerated, limited-view 3-D photoacoustic tomography. IEEE transactions on medical imaging.
Wang, G., Li, W., Zuluaga, M., Pratt, R., Patel, P., Aertsen, M., Doel, T., David, A., Deprest, J., & Ourselin, S. (2018). Interactive medical image segmentation using deep learning with image-specific fine tuning. IEEE transactions on medical imaging.
Legrand, J., Ourak, M., Javaux, A., Gruijthuijsen, C., Ahmad, M., Van Cleynenbreugel, B., Vercauteren, T., Deprest, J., Ourselin, S., & Vander Poorten, E. (2018). From a disposable ureteroscope to an active lightweight fetoscope—characterization and usability evaluation. IEEE robotics and automation letters.
Ranzini, M., Ebner, M., Cardoso, M., Fotiadou, A., Vercauteren, T., Henckel, J., Hart, A., Ourselin, S., & Modat, M. (2018). Joint multimodal segmentation of clinical CT and MR from hip arthroplasty patients. Computational Methods and Clinical Applications in Musculoskeletal Imaging: 5th International Workshop, MSKI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised Selected Papers 5.
Wang, G., Li, W., Ourselin, S., & Vercauteren, T. (2018). Automatic brain tumor segmentation using cascaded anisotropic convolutional neural networks. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers 3.
Mehdipour Ghazi, M., Nielsen, M., Pai, A., Cardoso, M., Modat, M., Ourselin, S., & Sørensen, L. (2018). Robust training of recurrent neural networks to handle missing data for disease progression modeling. arXiv e-prints.
Berger, L., Hyde, E., Pavithran, N., Mumtaz, F., Bragman, F., Cardoso, M., & Ourselin, S. (2018). How to control the learning rate of adaptive sampling schemes. .
Bakas, S., Reyes, M., Jakab, A., Bauer, S., Rempfler, M., Crimi, A., Shinohara, R., Berger, C., Ha, S., & Rozycki, M. (2018). Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. arXiv preprint arXiv:1811.02629.
Allan, M., Ourselin, S., Hawkes, D., Kelly, J., & Stoyanov, D. (2018). 3-D pose estimation of articulated instruments in robotic minimally invasive surgery. IEEE transactions on medical imaging.
Vakharia, V., Sparks, R., Li, K., O'Keeffe, A., Miserocchi, A., McEvoy, A., Sperling, M., Sharan, A., Ourselin, S., & Duncan, J. (2018). Automated trajectory planning for laser interstitial thermal therapy in mesial temporal lobe epilepsy. Epilepsia.
Georgiadis, K., Young, A., Hütel, M., Razi, A., Semedo, C., Schott, J., Ourselin, S., Warren, J., & Modat, M. (2018). Computational modelling of pathogenic protein behaviour-governing mechanisms in the brain. Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III 11.
Maneas, E., Xia, W., Ogunlade, O., Fonseca, M., Nikitichev, D., David, A., West, S., Ourselin, S., Hebden, J., & Vercauteren, T. (2018). Gel wax-based tissue-mimicking phantoms for multispectral photoacoustic imaging. Biomedical optics express.
Hütel, M., Melbourne, A., & Ourselin, S. (2018). Neural activation estimation in brain networks during task and rest using BOLD-fmri. Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III 11.
Eshaghi, A., Prados, F., Brownlee, W., Altmann, D., Tur, C., Cardoso, M., De Angelis, F., van de Pavert, S., Cawley, N., & De Stefano, N. (2018). Deep gray matter volume loss drives disability worsening in multiple sclerosis. Annals of neurology.
Noimark, S., Colchester, R., Poduval, R., Maneas, E., Alles, E., Zhao, T., Zhang, E., Ashworth, M., Tsolaki, E., & Chester, A. (2018). Polydimethylsiloxane composites for optical ultrasound generation and multimodality imaging. Advanced Functional Materials.
Kinnunen, K., Cash, D., Poole, T., Frost, C., Benzinger, T., Ahsan, R., Leung, K., Cardoso, M., Modat, M., & Malone, I. (2018). Presymptomatic atrophy in autosomal dominant Alzheimer's disease: a serial magnetic resonance imaging study. Alzheimer's & dementia.
Granados, A., Vakharia, V., Rodionov, R., Schweiger, M., Vos, S., O’Keeffe, A., Li, K., Wu, C., Miserocchi, A., & McEvoy, A. (2018). Automatic segmentation of stereoelectroencephalography (SEEG) electrodes post-implantation considering bending. International journal of computer assisted radiology and surgery.
Xia, W., Noimark, S., Maneas, E., Singh, M., Ourselin, S., West, S., & Desjardins, A. (2018). LED-based photoacoustic imaging of medical devices with carbon nanotube-polydimethylsiloxane composite coatings. Clinical and Translational Biophotonics.
Xiao, F., Caciagli, L., Wandschneider, B., Sander, J., Sidhu, M., Winston, G., Burdett, J., Trimmel, K., Hill, A., & Vollmar, C. (2018). Effects of carbamazepine and lamotrigine on functional magnetic resonance imaging cognitive networks. Epilepsia.
Aksman, L., Firth, N., Scelsi, M., Schott, J., Ourselin, S., & Altmann, A. (2018). An event based model of Alzheimer’s Disease in APOE+ subjects using robust biomarkers of volumetric change in regional brain structure. Alzheimer's & Dementia.
Lane, C., Sudre, C., Barnes, J., Nicholas, J., Hardy, R., Parker, T., Murray-Smith, H., Keshavan, A., Cash, D., & Malone, I. (2018). Influences of blood pressure and blood pressure trajectories on cerebral pathology at age 70: results from a british birth cohort. Alzheimer's & Dementia.
Singleton, E., Pijnenburg, Y., Sudre, C., Kochova, E., Groot, C., Papma, J., Ourselin, S., van Swieten, J., Barkhof, F., & Cardoso, M. (2018). O3‐13‐01: PATTERNS OF GLUCOSE HYPOMETABOLISM, SUBCORTICAL ATROPHY AND WHITE MATTER HYPERINTENSITIES IN THE BEHAVIORAL VARIANT OF ALZHEIMER'S DISEASE. Alzheimer's & Dementia.
Grussu, F., Veraart, J., Battiston, M., Schneider, T., Cohen-Adad, J., Cardoso, M., Wheeler-Kingshott, C., Fieremans, E., Alexander, D., & Novikov, D. (2018). Magnitude versus complex-valued images for spinal cord diffusion MRI: which one is best. Proceedings of the 26th Annual Meeting of ISMRM.
Iglesias, J., Modat, M., Peter, L., Stevens, A., Annunziata, R., Vercauteren, T., Lein, E., Fischl, B., & Ourselin, S. (2018). Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections. Medical image analysis.
Canas, L., Yvernault, B., Sudre, C., De Vita, E., Cardoso, M., Thornton, J., Barkhof, F., Ourselin, S., Mead, S., & Modat, M. (2018). Imaging biomarkers for the diagnosis of Prion disease. Medical Imaging 2018: Image Processing.
Cao, K., Booth, A., Ourselin, S., David, A., & Ashcroft, R. (2018). The legal frameworks that govern fetal surgery in the United Kingdom, European Union, and the United States. Prenatal Diagnosis.
Ricciardi, A., Grussu, F., Brownlee, W., Kanber, B., Prados Carrasco, F., Collorone, S., Kaden, E., Toosy, A., Ourselin, S., & Ciccarelli, O. (2018). Biophysically meaningful MRI features for accurate classification of multiple sclerosis phenotypes. .
Tur, C., Marschallinger, R., Prados, F., Collorone, S., Altmann, D., Ourselin, S., Wheeler-Kingshott, C., & Ciccarelli, O. (2018). Linking macrostructural and microstructural damage in early MS: a geostatistical and diffusion MRI study. ISMRM.
Scott, C., Jiao, J., Cardoso, M., Kläser, K., Melbourne, A., Markiewicz, P., Schott, J., Hutton, B., & Ourselin, S. (2018). Short acquisition time PET/MR pharmacokinetic modelling using CNNs. Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I.
Xia, W., West, S., Finlay, M., Pratt, R., Mathews, S., Mari, J., Ourselin, S., David, A., & Desjardins, A. (2018). Three-dimensional ultrasonic needle tip tracking with a fiber-optic ultrasound receiver. Journal of visualized experiments: JoVE.
Maneas, E., Xia, W., Singh, M., Sato, N., Agano, T., Ourselin, S., West, S., David, A., Vercauteren, T., & Desjardins, A. (2018). Human placental vasculature imaging using an LED-based photoacoustic/ultrasound imaging system. Photons Plus Ultrasound: Imaging and Sensing 2018.
Powell, E., Prados Carrasco, F., Brownlee, W., Kanber, B., Collorone, S., Ourselin, S., Ciccarelli, O., Toosy, A., Clayden, J., & Wheeler-Kingshott, C. (2018). A comparison of subnetwork classification methods. .
Maneas, E., Xia, W., Nikitichev, D., Daher, B., Manimaran, M., Wong, R., Chang, C., Rahmani, B., Capelli, C., & Schievano, S. (2018). Anatomically realistic ultrasound phantoms using gel wax with 3D printed moulds. Physics in Medicine & Biology.
Cortese, R., Magnollay, L., Tur, C., Abdel-Aziz, K., Jacob, A., De Angelis, F., Yiannakas, M., Prados, F., Ourselin, S., & Yousry, T. (2018). Value of the central vein sign at 3T to differentiate MS from seropositive NMOSD. Neurology.
Whelan, C., Altmann, A., Botía, J., Jahanshad, N., Hibar, D., Absil, J., Alhusaini, S., Alvim, M., Auvinen, P., & Bartolini, E. (2018). Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study. Brain.
Calvi, A., Prados, F., Tur, C., De Angelis, F., John, N., Doshi, A., Stutters, J., MacManus, D., Ourselin, S., & Ciccarelli, O. (2018). Characterizing the Slowly Evolving Lesions (SELs) in a cohort of secondary progressive Multiple Sclerosis patients. EUROPEAN JOURNAL OF NEUROLOGY.
Hu, Y., Modat, M., Gibson, E., Li, W., Ghavami, N., Bonmati, E., Wang, G., Bandula, S., Moore, C., & Emberton, M. (2018). Weakly-supervised convolutional neural networks for multimodal image registration. Medical image analysis.
Orbes-Arteaga, M., Cardoso, M., Sørensen, L., Modat, M., Ourselin, S., Nielsen, M., & Pai, A. (2018). Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs. arXiv preprint arXiv:1808.06519.
Moriconi, S., Zuluaga, M., Jäger, H., Nachev, P., Ourselin, S., & Cardoso, M. (2018). Elastic registration of geodesic vascular graphs. Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I.
Ghazi, M., Nielsen, M., Pai, A., Cardoso, M., Modat, M., Ourselin, S., & Sørensen, L. (2018). Robust training of recurrent neural networks to handle missing data for disease progression modeling. arXiv preprint arXiv:1808.05500.
Davidson, B., Kalitzeos, A., Carroll, J., Dubra, A., Ourselin, S., Michaelides, M., & Bergeles, C. (2018). Fast adaptive optics scanning light ophthalmoscope retinal montaging. Biomedical Optics Express.
Eaton-Rosen, Z., Bragman, F., Ourselin, S., & Cardoso, M. (2018). Improving data augmentation for medical image segmentation. .
Solanky, B., Prados Carrasco, F., Yiannakas, M., Bassan, V., Kanber, B., Ourselin, S., Ciccarelli, O., & Wheeler-Kingshott, C. (2018). Associations between tissue sodium concentration, age and cross-sectional area in the healthy spinal cord. .
Cortese, R., Prados, F., Moccia, M., Tur, C., Schneider, T., Cawley, N., Abdel-Aziz, K., Ourselin, S., Wheeler-Kingshott, C., & Thompson, A. (2018). Ongoing neurodegeneration in the cervical cord of patients with early primary progressive MS. EUROPEAN JOURNAL OF NEUROLOGY.
Battiston, M., Schneider, T., Prados, F., Grussu, F., Yiannakas, M., Ourselin, S., Gandini Wheeler‐Kingshott, C., & Samson, R. (2018). Fast and reproducible in vivo T1 mapping of the human cervical spinal cord. Magnetic resonance in medicine.
Vakharia, V., Sparks, R., Rodionov, R., Vos, S., Dorfer, C., Miller, J., Nilsson, D., Tisdall, M., Wolfsberger, S., & McEvoy, A. (2018). Computer-assisted planning for the insertion of stereoelectroencephalography electrodes for the investigation of drug-resistant focal epilepsy: an external validation study. Journal of neurosurgery.
Wang, G., Zuluaga, M., Li, W., Pratt, R., Patel, P., Aertsen, M., Doel, T., David, A., Deprest, J., & Ourselin, S. (2018). DeepIGeoS: a deep interactive geodesic framework for medical image segmentation. IEEE transactions on pattern analysis and machine intelligence.
Doshi, A., De Angelis, F., Muhlert, N., Stutters, J., Eshaghi, A., Prados, F., Plantone, D., John, N., Calvi, A., & MacManus, D. (2018). Multiple Sclerosis Impact Scale and brain volume are independent predictors of cognitive impairment in Secondary Progressive Multiple Sclerosis. European Journal of Neurology.
Owen, D., Melbourne, A., Eaton-Rosen, Z., Thomas, D., Marlow, N., Rohrer, J., & Ourselin, S. (2018). Deep convolutional filtering for spatio-temporal denoising and artifact removal in arterial spin labelling MRI. Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I.
Connick, P., De Angelis, F., Parker, R., Plantone, D., Doshi, A., John, N., Stutters, J., MacManus, D., Carrasco, F., & Barkhof, F. (2018). Multiple Sclerosis-Secondary Progressive Multi-Arm Randomisation Trial (MS-SMART): a multiarm phase IIb randomised, double-blind, placebo-controlled clinical trial comparing the efficacy of three neuroprotective drugs in secondary progressive multiple sclerosis. BMJ open.
Berger, L., Hyde, E., Gibb, M., Pavithran, N., Kelly, G., Mumtaz, F., & Ourselin, S. (2018). Boosted training of convolutional neural networks for multi-class segmentation. arXiv preprint arXiv:1806.05974.
Stoyanov, D., Taylor, Z., Kia, S., Oguz, I., Reyes, M., Martel, A., Maier-Hein, L., Marquand, A., Duchesnay, E., & Löfstedt, T. (2018). Understanding and interpreting machine learning in medical image computing applications. .
Groot, C., Sudre, C., Barkhof, F., Teunissen, C., van Berckel, B., Seo, S., Ourselin, S., Scheltens, P., Cardoso, M., & van der Flier, W. (2018). Clinical phenotype, atrophy, and small vessel disease in APOEε2 carriers with Alzheimer disease. Neurology.
Winston, G., Vos, S., Caldairou, B., Hong, S., Czech, M., Wood, T., Wastling, S., Barker, G., Bernhardt, B., & Ourselin, S. (2018). Microstructural Imaging in Mesial Temporal Lobe Epilepsy: Role of Neurite Density and Myelination. EPILEPSIA.
Eshaghi, A., Kievit, R., Prados, F., Sudre, C., Nicholas, J., Cardoso, M., Fox, N., Chan, D., Nicholas, R., & Ourselin, S. (2018). Simvastatin effect on disability is mediated by brain atrophy but is independent of cholesterol reduction in secondary progressive multiple sclerosis. MULTIPLE SCLEROSIS JOURNAL.
Berger, L., Eoin, H., Cardoso, M., & Ourselin, S. (2018). An adaptive sampling scheme to efficiently train fully convolutional networks for semantic segmentation. Medical Image Understanding and Analysis: 22nd Conference, MIUA 2018, Southampton, UK, July 9-11, 2018, Proceedings 22.
Bragman, F., Tanno, R., Eaton-Rosen, Z., Li, W., Hawkes, D., Ourselin, S., Alexander, D., McClelland, J., & Cardoso, M. (2018). Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning. Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV 11.
Drobny, D., Vercauteren, T., Ourselin, S., & Modat, M. (2018). Registration of MRI and iUS data to compensate brain shift using a symmetric block-matching based approach. Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation: International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16–20, 2018, Proceedings.
Collorone, S., Prados, F., Hagens, M., Tur, C., Kanber, B., Sudre, C., Wattjes, M., Ourselin, S., Tijms, B., & Altmann, D. (2018). Alterations of individual cortical networks in clinically isolated syndrome: a multi-centre MAGNIMS study. MULTIPLE SCLEROSIS JOURNAL.
Fiford, C., Ridgway, G., Cash, D., Modat, M., Nicholas, J., Manning, E., Malone, I., Biessels, G., Ourselin, S., & Carmichael, O. (2018). Patterns of progressive atrophy vary with age in Alzheimer's disease patients. Neurobiology of aging.
Woollacott, I., Bocchetta, M., Sudre, C., Ridha, B., Strand, C., Courtney, R., Ourselin, S., Cardoso, M., Warren, J., & Rossor, M. (2018). Pathological correlates of white matter hyperintensities in a case of progranulin mutation associated frontotemporal dementia. Neurocase.
Semedo, C., Cardoso, M., Vos, S., Sudre, C., Bocchetta, M., Ribbens, A., Smeets, D., Rohrer, J., & Ourselin, S. (2018). Thalamic nuclei segmentation on dementia using tractography and population-specific priors. Proceedings of the International Society for Magnetic Resonance in Medicine.
Parker, C., Clayden, J., Cardoso, M., Rodionov, R., Duncan, J., Scott, C., Diehl, B., & Ourselin, S. (2018). Structural and effective connectivity in focal epilepsy. NeuroImage: Clinical.
Canas, L., Yvernault, B., Cash, D., Molteni, E., Veale, T., Benzinger, T., Ourselin, S., Mead, S., & Modat, M. (2018). Gaussian processes with optimal kernel construction for neuro-degenerative clinical onset prediction. Medical Imaging 2018: Computer-Aided Diagnosis.
Varsavsky, T., Eaton-Rosen, Z., Sudre, C., Nachev, P., & Cardoso, M. (2018). Pimms: permutation invariant multi-modal segmentation. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings 4.
Noimark, S., Colchester, R., Poduval, R., Maneas, E., Alles, E., Zhao, T., Zhang, E., Ashworth, M., Tsolaki, E., & Chester, A. (2018). Ultrasound Generation: Polydimethylsiloxane Composites for Optical Ultrasound Generation and Multimodality Imaging (Adv. Funct. Mater. 9/2018). Advanced Functional Materials.
Manber, R., Thielemans, K., Hutton, B., Wan, S., Fraioli, F., Barnes, A., Ourselin, S., Arridge, S., & Atkinson, D. (2018). Clinical impact of respiratory motion correction in simultaneous PET/MR, using a joint PET/MR predictive motion model. Journal of Nuclear Medicine.
Semedo, C., Cardoso, M., Vos, S., Sudre, C., Bocchetta, M., Ribbens, A., Smeets, D., Rohrer, J., & Ourselin, S. (2018). Thalamic nuclei segmentation using tractography, population-specific priors and local fibre orientation. Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III 11.
Galimberti, D., Fumagalli, G., Fenoglio, C., Cioffi, S., Arighi, A., Serpente, M., Borroni, B., Padovani, A., Tagliavini, F., & Masellis, M. (2018). Progranulin plasma levels predict the presence of GRN mutations in asymptomatic subjects and do not correlate with brain atrophy: results from the GENFI study. Neurobiology of aging.
Cortese, R., Magnollay, L., Tur, C., Abdel-Aziz, K., Jacob, A., Floriana De Angelis, M., Yiannakas, M., Prados, F., Ourselin, S., & Yousry, T. (2018). Valor del signo de la vena central en 3T para diferenciar EM de TENMO seropositivos. Neurology.
Tella-Amo, M., Peter, L., Shakir, D., Deprest, J., Stoyanov, D., Iglesias, J., Vercauteren, T., & Ourselin, S. (2018). Probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking: application to fetoscopy. Journal of Medical Imaging.
De Angelis, F., Stutters, J., Eshaghi, A., Garcia, A., Prados, F., Plantone, D., Doshi, A., John, N., Calvi, A., & MacManus, D. (2018). Spinal cord area is a stronger predictor of physical disability than brain volume in secondary progressive Multiple Sclerosis. EUROPEAN JOURNAL OF NEUROLOGY.
Thompson, S., Schneider, C., Bosi, M., Gurusamy, K., Ourselin, S., Davidson, B., Hawkes, D., & Clarkson, M. (2018). In vivo estimation of target registration errors during augmented reality laparoscopic surgery. International journal of computer assisted radiology and surgery.
Fidon, L., Li, W., Garcia-Peraza-Herrera, L., Ekanayake, J., Kitchen, N., Ourselin, S., & Vercauteren, T. (2018). Generalised wasserstein dice score for imbalanced multi-class segmentation using holistic convolutional networks. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers 3.
Diez, S., Borghesan, G., Joyeux, L., Meuleman, C., Deprest, J., Stoyanov, D., Ourselin, S., Vercauteren, T., Reynaerts, D., & Vander Poorten, E. (2018). Evaluation of haptic feedback on bimanually teleoperated laparoscopy for endometriosis surgery. IEEE transactions on biomedical engineering.
Gibson, E., Li, W., Sudre, C., Fidon, L., Shakir, D., Wang, G., Eaton-Rosen, Z., Gray, R., Doel, T., & Hu, Y. (2018). NiftyNet: a deep-learning platform for medical imaging. Computer methods and programs in biomedicine.
Collorone, S., Prados, F., Davagnanam, I., Tur, C., Kanber, B., Grussu, F., Solanky, B., Ourselin, S., Wheeler-Kingshott, C., & Toosy, A. (2018). Neurite Orientation Dispersion and Density Imaging (NODDI) and Na-23 MRI in clinically isolated syndrome. MULTIPLE SCLEROSIS JOURNAL.
Maneas, E., Xia, W., Nikitichev, D., Pratt, R., Ourselin, S., West, S., David, A., Finlay, M., Vercauteren, T., & Desjardins, A. (2018). Patient-specific tissue-mimicking phantoms for photoacoustic and ultrasound imaging (Conference Presentation). Photons Plus Ultrasound: Imaging and Sensing 2018.
Tur, C., Eshaghi, A., Altmann, D., Jenkins, T., Prados, F., Grussu, F., Charalambous, T., Schmidt, A., Ourselin, S., & Clayden, J. (2018). Structural cortical network reorganization associated with early conversion to multiple sclerosis. Scientific reports.
Jacob, J., Bartholmai, B., Rajagopalan, S., Van Moorsel, C., Van Es, H., Van Beek, F., Struik, M., Kokosi, M., Egashira, R., & Brun, A. (2018). Predicting outcomes in idiopathic pulmonary fibrosis using automated computed tomographic analysis. American journal of respiratory and critical care medicine.
Xie, Y., Ebner, M., Wykes, V., Miserocchi, A., McEvoy, A., Ourselin, S., & Vercauteren, T. (2018). Spatial Regularisation based Reconstruction of Quantitative Fluorescence Imaging. Optical Tomography and Spectroscopy.
Gruijthuijsen, C., Colchester, R., Devreker, A., Javaux, A., Maneas, E., Noimark, S., Xia, W., Stoyanov, D., Reynaerts, D., & Deprest, J. (2018). Haptic guidance based on all-optical ultrasound distance sensing for safer minimally invasive fetal surgery. Journal of medical robotics research.
Legrand, J., Ourak, M., Vandebroek, T., Javaux, A., Denis, K., Vercauteren, T., Stoyanov, D., Deprest, J., Ourselin, S., & Vander Poorten, E. (2018). Single-hand Operation of an Active Flexible Endoscope for Intrauterine Fetal Surgery. 8th World Congress of Biomechanics, Date: 2018/07/08-2018/07/12, Location: Dublin.
Wang, G., Li, W., Aertsen, M., Deprest, J., Ourselin, S., & Vercauteren, T. (2018). Test-time augmentation with uncertainty estimation for deep learning-based medical image segmentation. .
Cash, D., Veale, T., Poole, T., Modat, M., Molteni, E., Cardoso, M., Benzinger, T., Jack Jr, C., McDade, E., & Bateman, R. (2018). IC‐P‐048: SAMPLE SIZE ESTIMATES FOR SECONDARY PREVENTION STUDIES USING REGIONAL ATROPHY RATES. Alzheimer's & Dementia.
Lane, C., Malone, I., Sudre, C., Ahsan, R., Manning, E., Harper, L., Ourselin, S., Cardoso, M., & Schott, J. (2017). Progressive callosal atrophy with stable memory impairment in familial British dementia. Alzheimer's and Dementia.
Doel, T., Shakir, D., Pratt, R., Aertsen, M., Moggridge, J., Bellon, E., David, A., Deprest, J., Vercauteren, T., & Ourselin, S. (2017). GIFT-Cloud: A data sharing and collaboration platform for medical imaging research. computer methods and programs in biomedicine.
Dwyer, G., Chadebecq, F., Amo, M., Bergeles, C., Maneas, E., Pawar, V., Vander Poorten, E., Deprest, J., Ourselin, S., & De Coppi, P. (2017). A continuum robot and control interface for surgical assist in fetoscopic interventions. IEEE robotics and automation letters.
Cash, D., Burgos, N., Modat, M., Dickson, J., Beasley, D., Markiewicz, P., Lane, C., Parker, T., Barnes, A., & Thomas, D. (2017). A comparison of techniques for quantifying amyloid burden on a combined PET/MR scanner. .
Ourselin, S., Sabuncu, M., Wells, W., Joskowicz, L., Unal, G., & Maier, A. (2017). The 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016). Medical Image Analysis.
Cordeiro, M., Normando, E., Cardoso, M., Miodragovic, S., Jeylani, S., Davis, B., Guo, L., Ourselin, S., & Bloom, P. (2017). Phase 1 safety and tolerability assessment of ANX776 in DARC (Detection of Apoptosing Retinal Cells) Technology. Investigative Ophthalmology & Visual Science.
Winston, G., Vos, S., Burdett, J., Cardoso, M., Ourselin, S., & Duncan, J. (2017). Automated T2 relaxometry of the hippocampus for temporal lobe epilepsy. Epilepsia.
Owen, D., Melbourne, A., Thomas, D., Beckmann, J., Rohrer, J., Marlow, N., & Ourselin, S. (2017). ADRIMO: Anatomy-DRIven MOdelling of spatial correlation to improve analysis of arterial spin labelling data. Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Honolulu, Hawaii.
Lane, C., Sudre, C., Barnes, J., Nicholas, J., Parker, T., Cash, D., Murray-Smith, H., Wong, A., Malone, I., & Klimova, J. (2017). VASCULAR AND EARLY LIFE INFLUENCES ON CEREBROVASCULAR DISEASE IN INSIGHT 46: A SUB-STUDY OF THE MRC NATIONAL SURVEY OF HEALTH AND DEVELOPMENT (NSHD) BRITISH BIRTH COHORT. Alzheimer's & Dementia.
Prados Carrasco, F., Nikitichev, D., Cardoso, M., Vercauteren, T., & Ourselin, S. (2017). Patient-specific 3D Printable Anatomical Brain Models from a Web App. .
Pratt, R., Hutchinson, J., Melbourne, A., Zuluaga, M., Virasami, A., Vercauteren, T., Ourselin, S., Sebire, N., Arthurs, O., & David, A. (2017). Imaging the human placental microcirculation with micro-focus computed tomography: Optimisation of tissue preparation and image acquisition. Placenta.
Prados, F., Ashburner, J., Blaiotta, C., Brosch, T., Carballido-Gamio, J., Cardoso, M., Conrad, B., Datta, E., Dávid, G., & De Leener, B. (2017). Spinal cord grey matter segmentation challenge. Neuroimage.
Holmes, H., Powell, N., Ma, D., Ismail, O., Harrison, I., Wells, J., Colgan, N., O'Callaghan, J., Johnson, R., & Murray, T. (2017). Comparison of in vivo and ex vivo MRI for the detection of structural abnormalities in a mouse model of tauopathy. Frontiers in neuroinformatics.
Canas, L., Yvernault, B., Sudre, C., Cardoso, M., Thornton, J., Barkhof, F., Ourselin, S., Mead, S., & Modat, M. (2017). Multikernel Gaussian Processes for patient stratification from imaging biomarkers with heterogeneous patterns. Learning from Limited Labeled Data: Weak Supervision and Beyond, NIPS, Long Beach.
Cardoso, M., Arbel, T., Melbourne, A., Bogunovic, H., Moeskops, P., Chen, X., Schwartz, E., Garvin, M., Robinson, E., & Trucco, E. (2017). Fetal, Infant and Ophthalmic Medical Image Analysis: International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, Proceedings. .
Scott, C., Jiao, J., Cardoso, M., Melbourne, A., De Vita, E., Thomas, D., Burgos, N., Markiewicz, P., Schott, J., & Hutton, B. (2017). Short acquisition time PET quantification using MRI-based pharmacokinetic parameter synthesis. Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II.
Scelsi, M., Lorenzi, M., Schott, J., Ourselin, S., & Altmann, A. (2017). P1-412 GENOME-WIDE ASSOCIATION STUDY OF A MULTIMODAL IMAGING BIOMARKER IN THE ADNI COHORT. Alzheimer's & Dementia.
Chadebecq, F., Vasconcelos, F., Dwyer, G., Lacher, R., Ourselin, S., Vercauteren, T., & Stoyanov, D. (2017). Refractive structure-from-motion through a flat refractive interface. Proceedings of the ieee international conference on computer vision.
Kieselmann, J., Kamerling, C., Burgos, N., Menten, M., Nill, S., Cardoso, M., & Oelfke, U. (2017). Geometric and Dosimetric Evaluation of Three Atlas-based Segmentation Methods for Head and Neck Cancer Patients on MR Images. MR in RT symposium.
Latifoltojar, A., Hall-Craggs, M., Bainbridge, A., Rabin, N., Popat, R., Rismani, A., D’Sa, S., Dikaios, N., Sokolska, M., & Antonelli, M. (2017). Whole-body MRI quantitative biomarkers are associated significantly with treatment response in patients with newly diagnosed symptomatic multiple myeloma following bortezomib induction. European radiology.
Meller, H., Kelm, B., Arbel, T., Cai, W., Cardoso, M., Langs, G., Menze, B., Metaxas, D., Montillo, A., & Wells III, W. (2017). Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging. .
Lane, C., Parker, T., Cash, D., Macpherson, K., Donnachie, E., Murray-Smith, H., Barnes, A., Barker, S., Beasley, D., & Bras, J. (2017). Study protocol: Insight 46–a neuroscience sub-study of the MRC National Survey of Health and Development. BMC neurology.
Xia, W., Noimark, S., Maneas, E., Parkin, I., Ourselin, S., Finlay, M., & Desjardins, A. (2017). Photoacoustic imaging of intracardiac medical devices using internal illumination of carbon nanotube/PDMS composite coatings. Photons Plus Ultrasound: Imaging and Sensing 2017, Photonics West.
Prados Carrasco, F., Yiannakas, M., Kanber, B., Kearney, H., Wheeler-Kingshott, C., & Ourselin, S. (2017). A patch-based method for lesion in-painting in the spinal cord. .
Cash, D., Burgos, N., Modat, M., Dickson, J., Beasley, D., Markiewicz, P., Lane, C., Parker, T., Barnes, A., & Thomas, D. (2017). [IC‐P‐004]: A COMPARISON OF TECHNIQUES FOR QUANTIFYING AMYLOID BURDEN ON A COMBINED PET/MR SCANNER. Alzheimer's & Dementia.
Woollacott, I., Bocchetta, M., Sudre, C., Ridha, B., Strand, C., Courtney, R., Ourselin, S., Cardoso, J., Warren, J., & Rossor, M. (2017). Pathological correlates of white matter hyperintensities on cadaveric MRI in progranulin-associated frontotemporal dementia. Alzheimer's & Dementia.
Ebner, M., Parker, K., Vercauteren, T., Ourselin, S., Wassertheurer, S., Hughes, A., & Hametner, B. (2017). 3.4 RESERVOIR PRESSURE SEPARATION AT BRACHIAL, CAROTID AND RADIAL ARTERIES: A QUANTITATIVE COMPARISON AND EVALUATION. Artery Research.
Brown, J., Pardini, M., Brownlee, W., Fernando, K., Samson, R., Prados Carrasco, F., Ourselin, S., Gandini Wheeler-Kingshott, C., Miller, D., & Chard, D. (2017). An abnormal periventricular magnetization transfer ratio gradient occurs early in multiple sclerosis. Brain.
Sudre, C., Cardoso, M., Frost, C., Barnes, J., Barkhof, F., Fox, N., & Ourselin, S. (2017). APOE ε4 status is associated with white matter hyperintensities volume accumulation rate independent of AD diagnosis. Neurobiology of aging.
Prados Carrasco, F., Ozgur, Y., Yiannakas, M., Grussu, F., Ruberte, E., Wuerfel, J., Barkhof, F., Wheeler-Kingshott, C., & Ourselin, S. (2017). Boundary shift integral to compute brain and cervical spinal cord longitudinal volume changes using the same 3DT1w volumetric scans in multiple sclerosis. .
Sari, H., Erlandsson, K., Law, I., Larsson, H., Ourselin, S., Arridge, S., Atkinson, D., & Hutton, B. (2017). Estimation of an image derived input function with MR-defined carotid arteries in FDG-PET human studies using a novel partial volume correction method. Journal of Cerebral Blood Flow & Metabolism.
Desjardins, A., Mosse, C., Colchester, R., Noimark, S., Alles, E., Zhang, E., Ourselin, S., Parkin, I., Papakonstantinou, I., & Beard, P. (2017). All-optical pulse-echo ultrasound imaging for guiding minimally invasive procedures. CLEO: Applications and Technology.
Burgos, N., Samper-González, J., Bertrand, A., Habert, M., Ourselin, S., Durrleman, S., Cardoso, J., & Colliot, O. (2017). Diagnosis of Alzheimer’s Disease Through Identification of Abnormality Patterns in FDG PET Data. 30th Annual Congress of the European Association of Nuclear Medicine (EANM).
Sudre, C., Li, W., Vercauteren, T., Ourselin, S., & Jorge Cardoso, M. (2017). Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, Proceedings 3.
Battiston, M., Schneider, T., Prados, F., Grussu, F., Yiannakas, M., Ourselin, S., Wheeler-Kingshott, C., & Samson, R. (2017). Reproducible fast T1 mapping of the human cervical spinal cord in vivo. .
Scelsi, M., Lorenzi, M., Schott, J., Ourselin, S., & Altmann, A. (2017). [IC‐P‐062]: GENOME‐WIDE ASSOCIATION STUDY OF A MULTIMODAL IMAGING BIOMARKER IN THE ADNI COHORT. Alzheimer's & Dementia.
Jiao, J. & Ourselin, S. (2017). Fast PET reconstruction using multi-scale fully convolutional neural networks. arXiv preprint arXiv:1704.07244.
Fiford, C., Manning, E., Bartlett, J., Cash, D., Malone, I., Ridgway, G., Lehmann, M., Leung, K., Sudre, C., & Ourselin, S. (2017). White matter hyperintensities are associated with disproportionate progressive hippocampal atrophy. Hippocampus.
Sparks, R., Zombori, G., Rodionov, R., Nowell, M., Vos, S., Zuluaga, M., Diehl, B., Wehner, T., Miserocchi, A., & McEvoy, A. (2017). Automated multiple trajectory planning algorithm for the placement of stereo-electroencephalography (SEEG) electrodes in epilepsy treatment. International journal of computer assisted radiology and surgery.
Cardoso, F., Costa, A., Senkus, E., Aapro, M., André, F., Barrios, C., Bergh, J., Bhattacharyya, G., Biganzoli, L., & Cardoso, M. (2017). 3rd ESO–ESMO international consensus guidelines for advanced breast cancer (ABC 3). The Breast.
Grussu, F., Ianuş, A., Tur, C., Prados, F., Schneider, T., Ourselin, S., Drobnjak, I., Zhang, H., Alexander, D., & Wheeler-Kingshott, C. (2017). Origin of the time dependence of the diffusion‐weighted signal in spinal cord white matter. Proceedings of the 25th Annual Meeting of ISMRM, Honolulu, HI.
Javaux, A., Esteveny, L., Bouget, D., Gruijthuijsen, C., Stoyanov, D., Vercauteren, T., Ourselin, S., Reynaerts, D., Denis, K., & Deprest, J. (2017). Body wall force sensor for simulated minimally invasive surgery: application to fetal surgery. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Carass, A., Roy, S., Jog, A., Cuzzocreo, J., Magrath, E., Gherman, A., Button, J., Nguyen, J., Prados, F., & Sudre, C. (2017). Longitudinal multiple sclerosis lesion segmentation: resource and challenge. NeuroImage.
Xie, Y., Thom, M., Miserocchi, A., McEvoy, A., Desjardins, A., Ourselin, S., & Vercauteren, T. (2017). Multi-scale spectrally resolved quantitative fluorescence imaging system: towards neurosurgical guidance in glioma resection. Clinical and Translational Neurophotonics.
Slattery, C., Zhang, J., Paterson, R., Foulkes, A., Carton, A., Macpherson, K., Mancini, L., Thomas, D., Modat, M., & Toussaint, N. (2017). ApoE influences regional white-matter axonal density loss in Alzheimer's disease. Neurobiology of aging.
Scelsi, M., Iglesias, E., Schott, J., Ourselin, S., & Altmann, A. (2017). [P2–409]: THE ROLE OF HIPPOCAMPAL SUBFIELDS IN THE ATROPHY PROCESS IN ALZHEIMER's DISEASE: AN IN‐VIVO STUDY OF THE ADNI COHORT. Alzheimer's & Dementia.
Bocchetta, M., Gordon, E., Cardoso, M., Ourselin, S., Warren, J., & Rohrer, J. (2017). [IC‐P‐051]: THALAMIC ATROPHY IN FRONTOTEMPORAL DEMENTIA: NOT JUST A C9ORF72 PROBLEM. Alzheimer's & Dementia.
Brownlee, W., Altmann, D., Miszkiel, K., Prados, F., Eshaghi, A., Ourselin, S., Wheeler-Kingshott, C., Barkhof, F., Miller, D., & Ciccarelli, O. (2017). New spinal cord and infratentorial lesions in early relapse-onset MS are predictive of secondary progressive disease course after 15 years. MULTIPLE SCLEROSIS JOURNAL.
Burgos, N., Guerreiro, F., McClelland, J., Presles, B., Modat, M., Nill, S., Dearnaley, D., Desouza, N., Oelfke, U., & Knopf, A. (2017). Iterative framework for the joint segmentation and CT synthesis of MR images: application to MRI-only radiotherapy treatment planning. Physics in Medicine & Biology.
Ourselin, S., Sabuncu, M., Wells, W., Joskowicz, L., Unal, G., & Maier, A. (2017). Guest editorial of the IJCARS MICCAI 2016 special issue. International Journal of Computer Assisted Radiology and Surgery.
Guerreiro, F., Burgos, N., Dunlop, A., Wong, K., Petkar, I., Nutting, C., Harrington, K., Bhide, S., Newbold, K., & Dearnaley, D. (2017). Evaluation of a multi-atlas CT synthesis approach for MRI-only radiotherapy treatment planning. Physica Medica.
Prados, F., Yiannakas, M., Cardoso, M., Grussu, F., De Angelis, F., Plantone, D., Miller, D., Ciccarelli, O., Wheeler-Kingshott, C., & Ourselin, S. (2017). Atrophy computation in the spinal cord using the Boundary Shift Integral. ISMRM.
Cardoso, M., Arbel, T., Tavares, J., Aylward, S., Li, S., Boctor, E., Fichtinger, G., Cleary, K., Freeman, B., & Kohli, L. (2017). Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound: International Workshops, BIVPCS 2017 and POCUS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. .
Xie, Y., Tisca, C., Peveler, W., Noimark, S., Desjardins, A., Parkin, I., Ourselin, S., & Vercauteren, T. (2017). Development and characterisation of a brain tumour mimicking protoporphyrin IX fluorescence phantom (Conference Presentation). Molecular-Guided Surgery: Molecules, Devices, and Applications III.
Collorone, S., Tur, C., Prados, F., Cawley, N., Grussu, F., Kanber, B., Ourselin, S., Wheeler-Kingshott, C., Ciccarelli, O., & Toosy, A. (2017). Application of Neurite Orientation Dispersion and Density Imaging (NODDI) in clinically isolated syndrome (CIS). MULTIPLE SCLEROSIS JOURNAL.
Abaei, M., Vos, S., Hill, D., Wolz, R., Yiannakas, M., Sokolska, M., Ourselin, S., Duncan, J., & Thomas, D. (2017). Comparison of Susceptibility Weighted Imaging MRI implementations across vendors: Implications for multi-centre studies. Proc. Intl. Soc. Mag. Reson. Med.
Xia, W., Noimark, S., Ourselin, S., West, S., Finlay, M., David, A., & Desjardins, A. (2017). Ultrasonic needle tracking with a fibre-optic ultrasound transmitter for guidance of minimally invasive fetal surgery. Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II.
Owen, D., Melbourne, A., Eaton-Rosen, Z., Thomas, D., Marlow, N., Rohrer, J., & Ourselin, S. (2017). Anatomy-driven modelling of spatial correlation for regularisation of arterial spin labelling images. Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II 20.
Cardoso, M., Arbel, T., Carneiro, G., Syeda-Mahmood, T., Tavares, J., Moradi, M., Bradley, A., Greenspan, H., Papa, J., & Madabhushi, A. (2017). Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, Proceedings. .
Burgos, N., Samper-González, J., Bertrand, A., Habert, M., Ourselin, S., Durrleman, S., Cardoso, M., & Colliot, O. (2017). Individual analysis of molecular brain imaging data through automatic identification of abnormality patterns. Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment: Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings 5.
Magee, E., Ourselin, S., Nikitichev, D., Vercauteren, T., & Vanhoestenberghe, A. (2017). The bionic clicker Mark I & II. Journal of visualized experiments: JoVE.
Ladefoged, C., Law, I., Anazodo, U., Lawrence, K., Izquierdo-Garcia, D., Catana, C., Burgos, N., Cardoso, M., Ourselin, S., & Hutton, B. (2017). A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients. Neuroimage.
Vakharia, V., Sparks, R., O'Keeffe, A., Rodionov, R., Miserocchi, A., McEvoy, A., Ourselin, S., & Duncan, J. (2017). Accuracy of intracranial electrode placement for stereoelectroencephalography: A systematic review and meta‐analysis. Epilepsia.
Cardoso, M., Ourselin, S., Wolz, R., & Rueckert, D. (2017). System and method for annotating images by propagating information. .
Lorenzi, M., Filippone, M., Alexander, D., & Ourselin, S. (2017). Disease Progression Modeling and Prediction through Random Effect Gaussian Processes and Time Transformation. arXiv preprint arXiv:1701.01668.
James, S., Parker, T., Lane, C., Cash, D., Wong, A., Barnes, A., Beasley, D., Burgos, N., Cardoso, M., & Dickson, J. (2017). [O1–09–05]: MIDLIFE AFFECTIVE SYMPTOMS ARE ASSOCIATED WITH LOWER BRAIN VOLUMES IN LATER LIFE: EVIDENCE FROM A PROSPECTIVE UK BIRTH COHORT. Alzheimer's & Dementia.
Arbel, T., Cardoso, M., Chung, A., Jenkinson, M., Ribbens, A., & Wells, W. (2017). Preface BAMBI 2016. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
Eaton-Rosen, Z., Scherrer, B., Melbourne, A., Ourselin, S., Neil, J., & Warfield, S. (2017). Investigating the maturation of microstructure and radial orientation in the preterm human cortex with diffusion MRI. Neuroimage.
Brownlee, W., Tur, C., Manole, A., Psatha, M., Eshaghi, A., Prados, F., Ourselin, S., Wheeler-Kingshott, C., Houlden, H., & Miller, D. (2017). HLA-DRB1* 1501 is associated with development of disability and brain MRI abnormalities over the first 15 years after a clinically isolated syndrome. ACTRIMS Forum 2017.
Batlle, M., Alahmadi, A., Collorone, S., Prados, F., Kanber, B., Ourselin, S., Toosy, A., Wheeler-Kingshott, C., Ciccarelli, O., & Tur, C. (2017). Resting state functional networks and cognitive performance in clinically isolated syndromes. MULTIPLE SCLEROSIS JOURNAL.
Cardoso, M., Arbel, T., Ferrante, E., Pennec, X., Dalca, A., Parisot, S., Joshi, S., Batmanghelich, N., Sotiras, A., & Nielsen, M. (2017). Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics: First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings. .
Yiannakas, M., Schneider, T., Clemence, M., Fairney, J., Prados, F., Kearney, H., Ourselin, S., Miller, D., & Wheeler-Kingshott, C. (2017). Outer spinal cord rim visualization using magnetization-prepared 3D T1w TFE at 3T: Application to multiple sclerosis.. .
Vos, S., Tax, C., Luijten, P., Ourselin, S., Leemans, A., & Froeling, M. (2017). The importance of correcting for signal drift in diffusion MRI. Magnetic resonance in medicine.
Li, W., Wang, G., Fidon, L., Ourselin, S., Cardoso, M., & Vercauteren, T. (2017). On the compactness, efficiency, and representation of 3D convolutional networks: brain parcellation as a pretext task. Information Processing in Medical Imaging: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings 25.
Pemberton, H., Fiford, C., Walsh, P., Carmichael, O., Biessels, G., Sudre, C., Cardoso, M., Barkhof, F., & Barnes, J. (2017). [P4–524]: WHITE MATTER HYPERINTENSITIES ARE ASSOCIATED WITH HIPPOCAMPAL ATROPHY RATES AFTER ADJUSTING FOR OTHER VASCULAR MARKERS IN PREDEMENTIA DISEASE STAGES. Alzheimer's & Dementia.
Young, A., Marinescu, R., Oxtoby, N., Bocchetta, M., Cash, D., Thomas, D., Dick, K., Cardoso, M., Ourselin, S., & van Swieten, J. (2017). [IC‐P‐079]: MULTIPLE DISTINCT ATROPHY PATTERNS FOUND IN GENETIC FRONTOTEMPORAL DEMENTIA USING SUBTYPE AND STAGE INFERENCE (SUSTAIN). Alzheimer's & Dementia.
Bocchetta, M., Gordon, E., Cardoso, M., Ourselin, S., Warren, J., & Rohrer, J. (2017). [P2-340]: Thalamic atrophy in frontotemporal dementia–not just a C9orf72 problem. Alzheimer's & Dementia.
Sudre, C., Bocchetta, M., Cash, D., Thomas, D., Woollacott, I., Dick, K., van Swieten, J., Borroni, B., Galimberti, D., & Masellis, M. (2017). WHITE MATTER HYPERINTENSITIES IN GENETIC FRONTOTEMPORAL DEMENTIA: A GENFI STUDY. Alzheimer's & Dementia.
Manning, E., Leung, K., Nicholas, J., Malone, I., Cardoso, M., Schott, J., Fox, N., & Barnes, J. (2017). A comparison of accelerated and non-accelerated MRI scans for brain volume and boundary shift integral measures of volume change: Evidence from the ADNI dataset. Neuroinformatics.
Eshaghi, A., Marinescu, R., Young, A., Firth, N., Prados, F., Jorge Cardoso, M., Tur, C., De Angelis, F., Cawley, N., & Brownlee, W. (2017). Progression of regional grey matter atrophy in multiple sclerosis. bioRxiv.
Veale, T., Wallon, D., Ridgway, G., Benzinger, T., Jack Jr, C., Bateman, R., Morris, J., Weston, P., Rossor, M., & Ourselin, S. (2017). [IC‐P‐150]: CHARACTERISING PRESYMPTOMATIC ATROPHY PATTERNS THROUGH MULTIVARIATE MACHINE LEARNING. Alzheimer's & Dementia.
Cardoso, M., Arbel, T., Gao, F., Kainz, B., Van Walsum, T., Shi, K., Bhatia, K., Peter, R., Vercauteren, T., & Reyes, M. (2017). Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment: Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. .
Biessels, G., Barnes, J., Sudre, C., Pemberton, H., Fiford, C., Carmichael, O., Barkhof, F., Walsh, P., & Cardoso, M. (2017). WHITE MATTER HYPERINTENSITIES ARE ASSOCIATED WITH HIPPOCAMPAL ATROPHY RATES AFTER ADJUSTING FOR OTHER VASCULAR MARKERS IN PREDEMENTIA DISEASE STAGES. Alzheimer's & Dementia.
Nowell, M., Sparks, R., Zombori, G., Miserocchi, A., Rodionov, R., Diehl, B., Wehner, T., White, M., Ourselin, S., & McEvoy, A. (2017). Resection planning in extratemporal epilepsy surgery using 3D multimodality imaging and intraoperative MRI. British Journal of Neurosurgery.
Pratt, R., Melbourne, A., Hutchinson, C., Arthurs, O., Sebire, N., Vercauteren, T., Ourselin, S., & David, A. (2017). EP22. 19: Investigating the effect of umbilical cord insertion site on placental perfusion. .
Brown, J., Carrasco, F., Eshaghi, A., Pardini, M., Button, T., Samson, R., Ourselin, S., Coles, A., & Chard, D. (2017). The effect of alemtuzumab on periventricular magnetisation transfer ratio gradients. MULTIPLE SCLEROSIS JOURNAL.
Young, A., Marinescu, R., Oxtoby, N., Bocchetta, M., Cash, D., Thomas, D., Dick, K., Cardoso, M., Ourselin, S., & van Swieten, J. (2017). [P1–443]: MULTIPLE DISTINCT ATROPHY PATTERNS FOUND IN GENETIC FRONTOTEMPORAL DEMENTIA USING SUBTYPE AND STAGE INFERENCE (SUSTAIN). Alzheimer's & Dementia.
Cardoso, M., Arbel, T., Carneiro, G., Syeda-Mahmood, T., Tavares, J., Moradi, M., Bradley, A., Greenspan, H., Papa, J., & Madabhushi, A. (2017). Deep learning in medical image analysis and multimodal learning for clinical decision support. .
Fiford, C., Nicholas, J., Biessels, G., Cardoso, M., & Barnes, J. (2017). [IC‐P‐087]: SIMULTANEOUS CHANGES IN BLOOD PRESSURE, COGNITION AND BRAIN VOLUME IN AGEING, MILD COGNITIVE IMPAIRMENT AND ALZHEIMER's DISEASE. Alzheimer's & Dementia.
Nikitichev, D., Shakir, D., Chadebecq, F., Tella, M., Deprest, J., Stoyanov, D., Ourselin, S., & Vercauteren, T. (2017). Medical-grade sterilizable target for fluid-immersed fetoscope optical distortion calibration. JoVE (Journal of Visualized Experiments).
Gispert, J., Foley, C., Lammertsma, A., van Berckel, B., Yaqub, M., Cardoso, M., Markiewicz, P., Modat, M., Buckley, C., & Mett, A. (2017). Methodological and Logistic Strategies for a Large Multi-Center β-Amyloid PET European Project: Amyloid Imaging to Prevent Alzheimer’s Disease (AMYPAD). Alzheimer's & Dementia.
Grussu, F., Battiston, M., Prados Carrasco, F., Schneider, T., Kaden, E., Ourselin, S., Samson, R., Alexander, D., & Wheeler-Kingshott, C. (2017). Whole-brain macromolecular tissue volume mapping: a comparison of imaging readouts at 3 Tesla. Frontiers in Cellular Neuroscience.
Finlay, M., Mosse, C., Colchester, R., Noimark, S., Zhang, E., Ourselin, S., Beard, P., Schilling, R., Parkin, I., & Papakonstantinou, I. (2017). Through-needle all-optical ultrasound imaging in vivo: a preclinical swine study. Light: Science & Applications.
Shakir, D., García-Peraza-Herrera, L., Daga, P., Doel, T., Clarkson, M., Ourselin, S., & Vercauteren, T. (2017). GIFT-Grab: Real-time C++ and Python multi-channel video capture, processing and encoding API. Journal of Open Research Software.
Nousias, S., Chadebecq, F., Pichat, J., Keane, P., Ourselin, S., & Bergeles, C. (2017). Corner-based geometric calibration of multi-focus plenoptic cameras. Proceedings of the IEEE International Conference on Computer Vision.
Vandebroek, T., Ourak, M., Gruijthuijsen, C., Esteveny, L., Javaux, A., Pimsamut, C., Reynaerts, D., Ourselin, S., Stoyanov, D., & Vercauteren, T. (2017). Rendering Flexible Endoscopy Manageable through In-Hand Automation. Proceedings of the 7th Joint Workshop on New Technologies for Computer/Robot Assisted Surgery.
Johnston, E., Antonelli, M., Dikaios, N., Ourselin, S., Atkinson, D., & Punwani, S. (2017). Improving the Reproducibility of Quantitative Imaging Metrics for Multicentre Multiparametric Prostate MRI Trials. .
Battiston, M., Grussu, F., Ianus, A., Schneider, T., Prados, F., Fairney, J., Ourselin, S., Alexander, D., Cercignani, M., & Wheeler-Kingshott, C. (2017). Optimal framework for quantitative magnetization transfer imaging of small structures. .
Schott, J., Cash, D., Lane, C., Parker, T., Burgos, N., Modat, M., Beasley, D., Dickson, J., Barnes, A., & Thomas, D. (2017). [P3–348]: EXPLORING THE POPULATION PREVALENCE OF β‐AMYLOID BURDEN: AN ANALYSIS OF 250 INDIVIDUALS BORN IN MAINLAND BRITAIN IN THE SAME WEEK IN 1946. Alzheimer's & Dementia.
Premi, E., Grassi, M., Van Swieten, J., Galimberti, D., Graff, C., Masellis, M., Tartaglia, C., Tagliavini, F., Rowe, J., & Laforce Jr, R. (2017). Cognitive reserve and TMEM106B genotype modulate brain damage in presymptomatic frontotemporal dementia: a GENFI study. Brain.
Cardoso, M., Arbel, T., Luo, X., Wesarg, S., Reichl, T., Ballester, M., McLeod, J., Drechsler, K., Peters, T., & Erdt, M. (2017). Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures: 4th International Workshop, CARE 2017, and 6th International Workshop, CLIP 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. .
Pratt, R., Melbourne, A., Owen, D., Sokolska, M., Bainbridge, A., Atkinson, D., Kendall, G., Deprest, J., Vercauteren, T., & Ourselin, S. (2017). OP05. 08: Novel placental evaluation using multimodal MRI. Ultrasound in Obstetrics & Gynecology.
Fox, N., Ryan, N., Weston, P., Chavez‐Gutierrez, L., Modat, M., Cash, D., Ourselin, S., & Rossor, M. (2017). [F4–01–04]: NEUROIMAGING AND HETEROGENEITY IN FAMILIAL ALZHEIMER'S DISEASE. Alzheimer's & Dementia.
Garcia-Peraza-Herrera, L., Li, W., Fidon, L., Gruijthuijsen, C., Devreker, A., Attilakos, G., Deprest, J., Vander Poorten, E., Stoyanov, D., & Vercauteren, T. (2017). Toolnet: holistically-nested real-time segmentation of robotic surgical tools. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Burgos, N., Samper-González, J., Cardoso, J., Durrleman, S., Ourselin, S., & Colliot, O. (2017). Early Diagnosis of Alzheimer’s Disease Using Subject-Specific Models of FDG-PET Data. AAIC 2017-Alzheimer's Association International Conference.
Mendelson, A., Zuluaga, M., Lorenzi, M., Hutton, B., & Ourselin, S. (2017). Selection bias in the reported performances of AD classification pipelines. NeuroImage: Clinical.
Sudre, C., Bocchetta, M., Cash, D., Thomas, D., Woollacott, I., Dick, K., van Swieten, J., Borroni, B., Galimberti, D., & Masellis, M. (2017). White matter hyperintensities are seen only in GRN mutation carriers in the GENFI cohort. NeuroImage: Clinical.
Charalambous, T., Tur, C., Prados, F., Kanber, B., Chard, D., Ourselin, S., Clayden, J., Wheeler-Kingshott, C., Thompson, A., & Toosy, A. (2017). The clinical relevance of the network-derived metrics in multiple sclerosis. MULTIPLE SCLEROSIS JOURNAL.
Collorone, S., Prados, F., Hagens, M., Tur, C., Kanber, B., Sudre, C., Wattjes, M., Ourselin, S., Tijms, B., & Barkhof, F. (2017). Alterations in individual cortical networks of CIS patients: a longitudinal multi-centre MAGNIMS study. MULTIPLE SCLEROSIS JOURNAL.
Semedo, C., Cardoso, M., Vos, S., Mendelson, A., Ribbens, A., Smeets, D., Rohrer, J., & Ourselin, S. (2017). Improved tractography-based segmentation of the human thalamus. Proceedings of the International Society for Magnetic Resonance in Medicine.
Bousse, A., Manber, R., Holman, B., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B., & Thielemans, K. (2017). Evaluation of a direct motion estimation/correction method in respiratory‐gated PET/MRI with motion‐adjusted attenuation. Medical Physics.
Bennett, O., Cardoso, J., Duncan, J., Winston, G., & Ourselin, S. (2017). Learning how to see the invisible-using machine learning to find underlying abnormality patterns in reportedly normal MR brain images from patients with epilepsy. Proceedings. ISMRM.
Parker, T., Cash, D., Lane, C., Murray‐Smith, H., Wong, A., Malone, I., Burgos, N., Modat, M., Beasley, D., & Dickson, J. (2017). [O5–05–04]: BRAIN VOLUME, CEREBRAL β‐AMYLOID DEPOSITION, AND AGEING: A STUDY OF OVER 200 INDIVIDUALS BORN IN THE SAME WEEK IN 1946. Alzheimer's & Dementia.
Fidon, L., Li, W., Garcia-Peraza-Herrera, L., Ekanayake, J., Kitchen, N., Ourselin, S., & Vercauteren, T. (2017). Scalable multimodal convolutional networks for brain tumour segmentation. Medical Image Computing and Computer Assisted Intervention− MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III 20.
Sharma, N., Pedreira, C., Centeno, M., Chaudhary, U., Wehner, T., França, L., Yadee, T., Murta, T., Leite, M., & Vos, S. (2017). A novel scheme for the validation of an automated classification method for epileptic spikes by comparison with multiple observers. Clinical Neurophysiology.
Scelsi, M., Iglesias, E., Schott, J., Ourselin, S., & Altmann, A. (2017). [IC‐P‐047]: THE ROLE OF HIPPOCAMPAL SUBFIELDS IN THE ATROPHY PROCESS IN ALZHEIMER's DISEASE: AN IN‐VIVO STUDY OF THE ADNI COHORT. Alzheimer's & Dementia.
Charalambous, T., Tur, C., Prados, F., Kanber, B., Chard, D., Ourselin, S., Clayden, J., Wheeler-Kingshott, C., Thompson, A., & Toosy, A. (2017). The relationship between network measures and magnetic resonance imaging metrics in multiple sclerosis. Mult Scler J.
Pichat, J., Iglesias, E., Nousias, S., Yousry, T., Ourselin, S., & Modat, M. (2017). Part-to-whole registration of histology and mri using shape elements. Proceedings of the IEEE International Conference on Computer Vision Workshops.
Moriconi, S., Zuluaga, M., Jäger, H., Nachev, P., Ourselin, S., & Cardoso, M. (2017). VTrails: Inferring vessels with geodesic connectivity trees. Information Processing in Medical Imaging: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings 25.
Ebner, M., Parker, K., Vercauteren, T., Ourselin, S., Wassertheurer, S., Hughes, A., & Hametner, B. (2017). P122 CALCULATING RESERVOIR PRESSURE WITH OR WITHOUT FLOW INFORMATION: SIMILARITY AND ALGORITHMIC SENSITIVITY AT RADIAL ARTERY. Artery Research.
Ooi, J., Grussu, F., Collorone, S., Charalambous, T., Prados, F., Kanber, B., Ourselin, S., Toosy, A., Wheeler-Kingshott, C., & Ciccarelli, O. (2017). Brain network organisation and cognitive performance in clinically isolated syndromes. MULTIPLE SCLEROSIS JOURNAL.
Ourselin, S. & Pankaj, D. (2017). Apparatus and method for correcting susceptibility artefacts in a magnetic resonance image. .
Lorenzi, M., Gutman, B., Thompson, P., Alexander, D., Ourselin, S., & Altmann, A. (2017). Secure multivariate large-scale multi-centric analysis through on-line learning: an imaging genetics case study. 12th International Symposium on Medical Information Processing and Analysis.
Müller, H., Kelm, B., Arbel, T., Cai, W., Cardoso, M., Langs, G., Menze, B., Metaxas, D., Montillo, A., & Wells III, W. (2017). Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. .
Ebner, M., Chouhan, M., Patel, P., Atkinson, D., Amin, Z., Read, S., Punwani, S., Taylor, S., Vercauteren, T., & Ourselin, S. (2017). Point-spread-function-aware slice-to-volume registration: application to upper abdominal MRI super-resolution. Reconstruction, Segmentation, and Analysis of Medical Images: First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers 1.
Lorenzi, M., Filippone, M., Alexander, D., & Ourselin, S. (2017). [O1–12–03]: MODELING AND PREDICTION OF THE NATURAL HISTORY OF NEURODEGENERATION FROM LONGITUDINAL TRIAL DATA. Alzheimer's & Dementia.
Xia, W., West, S., Finlay, M., Mari, J., Ourselin, S., David, A., & Desjardins, A. (2017). Looking beyond the imaging plane: 3D needle tracking with a linear array ultrasound probe. Scientific reports.
Harding, S., Bocchetta, M., Gordon, E., Cash, D., Cardoso, M., Druyeh, R., Ourselin, S., Warren, J., Mead, S., & Rohrer, J. (2017). The TMEM106B risk allele is associated with lower cortical volumes in a clinically diagnosed frontotemporal dementia cohort. Journal of Neurology, Neurosurgery & Psychiatry.
Samson, R., Cardoso, M., Muhlert, N., Sethi, V., Yaldizli, Ö., Ron, M., Prados Carrasco, F., Ourselin, S., Miller, D., & Wheeler-Kingshott, C. (2017). Longitudinal outer and inner cortical MTR abnormalities in different MS clinical phenotypes. .
Cortese, R., Prados, F., Moccia, M., Tur, C., Schneider, T., Kanber, B., Cawley, N., Abdel-Aziz, K., Ourselin, S., & Wheeler-Kingshott, C. (2017). Evidence for progressive neurodegeneration in the cervical cord of patients with early primary progressive MS during 3-year follow-up. Multiple Sclerosis Journal.
Chan, D., Binks, S., Nicholas, J., Frost, C., Cardoso, M., Ourselin, S., Wilkie, D., Nicholas, R., & Chataway, J. (2017). Effect of high-dose simvastatin on cognitive, neuropsychiatric, and health-related quality-of-life measures in secondary progressive multiple sclerosis: secondary analyses from the MS-STAT randomised, placebo-controlled trial. The Lancet Neurology.
David, A., Deprest, J., Atkinson, D., Owen, D., Kendall, G., Bainbridge, A., Sokolska, M., Melbourne, A., Vercauteren, T., & Ourselin, S. (2017). OP05. 08: Novel placental evaluation using multimodal MRI. .
Blaiotta, C., Freund, P., Cardoso, M., & Ashburner, J. (2017). Generative diffeomorphic atlas construction from brain and spinal cord MRI data. arXiv preprint arXiv:1707.01342.
Sparks, R., Vakharia, V., Rodionov, R., Vos, S., Diehl, B., Wehner, T., Miserocchi, A., McEvoy, A., Duncan, J., & Ourselin, S. (2017). Anatomy-driven multiple trajectory planning (ADMTP) of intracranial electrodes for epilepsy surgery. International journal of computer assisted radiology and surgery.
Pratt, R., Melbourne, A., Hutchinson, C., Arthurs, O., Sebire, N., Vercauteren, T., Ourselin, S., & David, A. (2017). Quantifying the structure of the chorionic vascular tree with central and eccentric cord insertion. Placenta.
ten Kate, M., Sudre, C., den Braber, A., Konijnenberg, E., Cardoso, M., Scheltens, P., Ourselin, S., Boomsma, D., Barkhof, F., & Visser, P. (2017). WHITE MATTER HYPERINTENSITIES AND VASCULAR RISK FACTORS IN COGNITIVELY HEALTHY ELDERLY MONOZYGOTIC TWIN PAIRS. Alzheimer's & Dementia.
Lorenzi, M., Filippone, M., Alexander, D., & Ourselin, S. (2017). [IC‐P‐040]: MODELING AND PREDICTION OF THE NATURAL HISTORY OF NEURODEGENERATION FROM LONGITUDINAL TRIAL DATA. Alzheimer's & Dementia.
Premi, E., Grassi, M., van Sweeten, J., Galimberti, D., Graff, C., Masellis, M., Tartaglia, C., Tagliavini, F., Rowe, J., & Laforce, R. (2017). Cognitive reserve and TMEM106B genotype modulate brain damage in pre-symptomatic monogenic FTD: results from the GENFI study (P2. 085). .
Bocchetta, M., Gordon, E., Cardoso, M., Ourselin, S., Warren, J., & Rohrer, J. (2017). THALAMIC ATROPHY IN FRONTOTEMPORAL DEMENTIA–NOT JUST A C9ORF72 PROBLEM. Alzheimer's & Dementia.
Pratt, R., Melbourne, A., Hutchinson, C., Arthurs, O., Sebire, N., Vercauteren, T., Ourselin, S., & David, A. (2017). MicroCT to investigate the heterogeneity of villous vascular density in normal placentae. Placenta.
Melbourne, A., Pratt, R., Owen, D., Sokolska, M., Bainbridge, A., Atkinson, D., Kendall, G., Deprest, J., Vercauteren, T., & David, A. (2017). DECIDE: Diffusion-rElaxation combined imaging for detailed placental evaluation. Proceedings of the 25th Annual Meeting of ISMRM, Honolulu, Hawaii, USA.
Vos, S., Winston, G., Toussaint, N., Burdett, J., Cardoso, M., Duncan, J., & Ourselin, S. (2017). Automated hippocampal volumetry profiles along the anterior-posterior axis for hippocampal sclerosis detection. Epilepsia.
Mirza, S., Mutsaerts, H., Cash, D., Bocchetta, M., Thomas, D., Dick, K., Swieten, J., Borroni, B., Galimberti, D., & Tartaglia, M. (2017). [O2–01–06]: FRONTO‐SUBCORTICAL HYPOPERFUSION IN PRESYMPTOMATIC FTD IS ASSOCIATED WITH BEHAVIORAL MEASURES, BUT NOT COGNITIVE DEFICITS: THE GENFI STUDY. Alzheimer's & Dementia: The Journal of the Alzheimer's Association.
Brusaferri, L., Bousse, A., Efthimiou, N., Emond, E., Atkinson, D., Ourselin, S., Hutton, B., Arridge, S., & Thielemans, K. (2017). Potential benefits of incorporating energy information when estimating attenuation from PET data. 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Lorenzi, M., Filippone, M., Redolfi, A., Bianchetti, S., Alexander, D., Ourselin, S., & Frisoni, G. (2017). [P4–528]: IN‐SILICO MODEL OF THE NATURAL HISTORY OF ALZHEIMER's DISEASE BASED ON SERIAL ACQUISITIONS OF MR, AV45 AND FDG PET SCANS. Alzheimer's & Dementia.
Xie, Y., Thom, M., Ebner, M., Wykes, V., Desjardins, A., Miserocchi, A., Ourselin, S., McEvoy, A., & Vercauteren, T. (2017). Wide-field spectrally resolved quantitative fluorescence imaging system: toward neurosurgical guidance in glioma resection. Journal of Biomedical Optics.
Nikitichev, D., Xia, W., West, S., Desjardins, A., Ourselin, S., & Vercauteren, T. (2017). Three-dimensional printed ultrasound and photoacoustic training phantoms for vasculature access (Conference Presentation). Photons Plus Ultrasound: Imaging and Sensing 2017.
Fiford, C., Nicholas, J., Biessels, G., Cardoso, M., & Barnes, J. (2017). [O3–10–04]: SIMULTANEOUS CHANGES IN BLOOD PRESSURE, COGNITION AND BRAIN VOLUME IN AGEING, MILD COGNITIVE IMPAIRMENT AND ALZHEIMER's DISEASE. Alzheimer's & Dementia.
Owen, D., Melbourne, A., Sokolska, M., Thomas, D., Rohrer, J., & Ourselin, S. (2017). Bayesian experimental design for multi-parametric T1/T2 relaxometry and diffusion. Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Honolulu, Hawaii.
Cordeiro, M., Normando, E., Cardoso, M., Miodragovic, S., Jeylani, S., Davis, B., Guo, L., Ourselin, S., A’Hern, R., & Bloom, P. (2017). Real-time imaging of single neuronal cell apoptosis in patients with glaucoma. Brain.
Alley, S., Grussu, F., Yiannakas, M., Kearney, H., Ciccarelli, O., Prados, F., Ourselin, S., & Wheeler-Kingshott, C. (2017). A ranking of pipelines for optimal co-registration of anatomical and diffusion weighted images of the cervical spinal cord. .
Holmes, H., Powell, N., Ma, D., Ismail, O., Harrison, I., Wells, J., Colgan, N., O'Callaghan, J., Johnson, R., & Murray, T. (2017). Comparison ofIn VivoandEx VivoMRI for the Detection of Structural Abnormalities in a Mouse Model of Tauopathy. .
Cardoso, M., Arbel, T., Lee, S., Cheplygina, V., Balocco, S., Mateus, D., Zahnd, G., Maier-Hein, L., Demirci, S., & Granger, E. (2017). Intravascular Imaging and Computer Assisted Stenting, and large-scale annotation of biomedical data and expert label synthesis. CVII-STENT and Second International Workshop, LABELS.
Grussu, F., Battiston, M., Prados Carrasco, F., Schneider, T., Kaden, E., Ourselin, S., Samson, R., Alexander, D., & Wheeler-Kingshott, C. (2017). A unified signal readout for reproducible multimodal characterisation of brain microstructure. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM).
Kinnunen, K., Cash, D., Poole, T., Frost, C., Benzinger, T., Ahsan, R., Leung, K., Cardoso, M., Modat, M., & Malone, I. (2017). [Accepted Manuscript] Presymptomatic atrophy in autosomal dominant Alzheimer's disease: A serial MRI study.. Alzheimer's & dementia.
Melbourne, A., Pratt, R., Sokolska, M., Owen, D., Bainbridge, A., Atkinson, D., Kendall, G., Deprest, J., Vercauteren, T., & David, A. (2017). Separation of fetal and maternal circulations using multi-modal MRI. Placenta.
Prados, F., Nikitichev, D., Vercauteren, T., & Ourselin, S. (2017). Patient-Specific 3D Printable Anatomical Brain Models from a Web App. Hawaii USA: ISMRM.
Slattery, C., Zhang, J., Paterson, R., Foulkes, A., Mancini, L., Thomas, D., Modat, M., Toussaint, N., Cash, D., & Thornton, J. (2017). [IC‐P‐168]: LONGITUDINAL NEURITE ORIENTATION DISPERSION AND DENSITY IMAGING IN YOUNG‐ONSET ALZHEIMER'S DISEASE. Alzheimer's & Dementia.
Bergeles, C., Dubis, A., Davidson, B., Kasilian, M., Kalitzeos, A., Carroll, J., Dubra, A., Michaelides, M., & Ourselin, S. (2017). Unsupervised identification of cone photoreceptors in non-confocal adaptive optics scanning light ophthalmoscope images. Biomedical optics express.
Sudre, C., Cardoso, M., & Ourselin, S. (2017). Longitudinal segmentation of age-related white matter hyperintensities. Medical Image Analysis.
Melbourne, A., Pratt, R., Hutchinson, C., Arthurs, O., Sebire, N., Vercauteren, T., David, A., & Ourselin, S. (2017). Quantitative analysis of the three dimensional fetoplacental vascular tree in normal, term placenta. Placenta.
Samson, R., Cardoso, M., Muhlert, N., Sethi, V., Yaldizli, Ö., Ron, M., Prados, F., Ourselin, S., Miller, D., & Wheeler-Kingshott, C. (2017). Investigation of outer and inner cerebellar MTR abnormalities in different MS clinical subtypes. Proc. Intl. Soc. Mag. Reson. Med.
Meeter, L., Gendron, T., Sias, A., Jiskoot, L., Graff, C., Boxer, A., Sánchez‐Valle, R., Pijnenburg, Y., Benussi, L., & Ghidoni, R. (2017). [O4–02–02]: POLY‐GP DIPEPTIDE REPEATS AND NEUROFILAMENT LIGHT CHAIN AS BIOMARKERS IN PRESYMPTOMATIC AND SYMPTOMATIC FRONTOTEMPORAL DEMENTIA CAUSED BY C9ORF72 REPEAT EXPANSIONS. Alzheimer's & Dementia.
Johnston, W., Bonet-Carne, E., Pye, H., Clemente, J., Yvernault, B., Patel, D., Heavey, S., Appayya, M., Saborowska, A., & Sridhar, A. (2017). Microstructural Diffusion-Weighted (VERDICT) MRI Metrics are Repeatable and Show Potential at Characterising Gleason 7 Prostate Cancer Non-Invasively. The International Society for Magnetic Resonance in Medicine.
Zuluaga, M., Biffi, B., Taylor, A., Schievano, S., Vercauteren, T., & Ourselin, S. (2017). Strengths and pitfalls of whole-heart atlas-based segmentation in congenital heart disease patients. Reconstruction, Segmentation, and Analysis of Medical Images: First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers 1.
Marcus, H., Vercauteren, T., Ourselin, S., & Dorward, N. (2017). Intraoperative ultrasound in patients undergoing transsphenoidal surgery for pituitary adenoma: systematic review. World Neurosurgery.
García-Peraza-Herrera, L., Li, W., Gruijthuijsen, C., Devreker, A., Attilakos, G., Deprest, J., Vander Poorten, E., Stoyanov, D., Vercauteren, T., & Ourselin, S. (2017). Real-time segmentation of non-rigid surgical tools based on deep learning and tracking. Computer-Assisted and Robotic Endoscopy: Third International Workshop, CARE 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers 3.
Lorenzi, M., Gutman, B., Hibar, D., Altmann, A., Jahanshad, N., Thompson, P., & Ourselin, S. (2016). Partial least squares modelling for imaging-genetics in Alzheimer's disease: Plausibility and generalization. 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).
Altmann, A., Modat, M., & Ourselin, S. (2016). IC‐02‐02: Genome‐Wide Polygenic Risk for Alzheimer’s Disease is Associated with Rate of Metabolic Decline But Not with Rate of Amyloid Deposition. Alzheimer's & Dementia.
Rohrer, J., Woollacott, I., Dick, K., Brotherhood, E., Gordon, E., Fellows, A., Toombs, J., Druyeh, R., Cardoso, M., & Ourselin, S. (2016). Serum neurofilament light chain protein is a measure of disease intensity in frontotemporal dementia. Neurology.
Rohrer, J., Bocchetta, M., Gordon, E., Cash, D., Dick, K., Thomas, D., Nicholas, J., Cardoso, M., Ourselin, S., & van Swieten, J. (2016). Patterns of longitudinal neuroanatomical change in genetic FTD: results from the Genetic FTD Initiative (GENFI). .
Collorone, S., Cawley, N., Prados, F., Tur, C., Grussu, F., Kanber, B., Ourselin, S., Wheeler-Kingshott, C., Milller, D., & Thompson, A. (2016). Neurite Orientation Dispersion and Density Imaging (NODDI) reflects early microstructural brain tissue changes in clinically isolated syndrome (CIS). .
Schneider, C., Thompson, S., Totz, J., Song, Y., Gurusamy, K., Ourselin, S., Stoyanov, D., Clarkson, M., Hawkes, D., & Davidson, B. (2016). 18. A pilot study evaluating the overlay display method for image guidance in laparoscopic liver surgery. European Journal of Surgical Oncology.
Cawley, N., Prados, F., Ourselin, S., Gomez, C., Grussu, F., Wheeler-Kingshott, C., Miller, D., Thompson, A., Toosy, A., & Ciccarelli, O. (2016). Neurite Orientation Dispersion and Density Imaging (NODDI) at the Onset of Clinically Isolated Syndrome (CIS): New Insights in the Early Microstructural Brain Tissue Changes (I10. 010). .
Wang, G., Zuluaga, M., Pratt, R., Aertsen, M., Doel, T., Klusmann, M., David, A., Deprest, J., Vercauteren, T., & Ourselin, S. (2016). Dynamically balanced online random forests for interactive scribble-based segmentation. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II 19.
Prados, F., Cardoso, M., Yiannakas, M., Hoy, L., Tebaldi, E., Kearney, H., Liechti, M., Miller, D., Ciccarelli, O., & Wheeler-Kingshott, C. (2016). Fully automated grey and white matter spinal cord segmentation. Scientific reports.
Cawley, N., Solanky, B., Prados, F., Collorone, S., Kanber, B., Ourselin, S., Wheeler-Kingshott, C., Miller, D., Thompson, A., & Toosy, A. (2016). Increased total sodium concentration in asymptomatic T2 lesions in clinically isolated syndrome. .
Markiewicz, P., Ehrhardt, M., Atkinson, D., Arridge, S., Hutton, B., & Ourselin, S. (2016). Uniform acquisition modelling across PET imaging systems: unified scatter modelling. 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD).
Nowell, M., Vos, S., Sidhu, M., Wilcoxen, K., Sargsyan, N., Ourselin, S., & Duncan, J. (2016). Meyer's loop asymmetry and language lateralisation in epilepsy. Journal of Neurology, Neurosurgery & Psychiatry.
Eaton-Rosen, Z., Melbourne, A., Beckmann, J., Orasanu, E., Stevens, N., Atkinson, D., Marlow, N., & Ourselin, S. (2016). White matter alterations in young adults born extremely preterm: a microstructural point of view.. Proc. 24th Annual meeting of the international society for magnetic resonance in medicine-ismrm (Singapore, May 2016).
Burgos, N., Cardoso, J., Guerreiro, F., Mcclelland, J., Knopf, A., Punwani, S., & Ourselin, S. (2016). CT synthesis in the head & neck and pelvic regions for radiotherapy treatment planning. IPEM Workshop on MRI Guided Radiotherapy.
Erlandsson, K., Liljeroth, M., Atkinson, D., Arridge, S., Ourselin, S., & Hutton, B. (2016). Improved parameter-estimation with MRI-constrained PET kinetic modeling: a simulation study. IEEE Transactions on Nuclear Science.
Xia, W., Ginsberg, Y., West, S., Nikitichev, D., Ourselin, S., David, A., & Desjardins, A. (2016). Coded excitation ultrasonic needle tracking: An in vivo study. Medical physics.
Vos, S., Cardoso, M., Wylezinska-Arridge, M., Thomas, D., De Vita, E., Yiannakas, M., Carmichael, D., Thornton, J., Duncan, J., & Ourselin, S. (2016). Evaluation of 3D T1-weighted imaging at 3T across scanner vendors and models. .
Weston, P., Nicholas, J., Lehmann, M., Ryan, N., Liang, Y., Macpherson, K., Modat, M., Rossor, M., Schott, J., & Ourselin, S. (2016). Presymptomatic cortical thinning in familial Alzheimer disease: A longitudinal MRI study. Neurology.
Collorone, S., Cawley, N., Prados, F., Ourselin, S., Gomez, C., Grussu, F., Wheeler-Kingshott, C., Millers, D., Thompson, A., & Toosy, A. (2016). Neurite Orientation Dispersion and Density Imaging (NODDI) at the Onset of Clinically Isolated Syndrome (CIS): New Insights in the Early Microstructural Brain Tissue Changes. .
Noimark, S., Colchester, R., Blackburn, B., Zhang, E., Alles, E., Ourselin, S., Beard, P., Papakonstantinou, I., Parkin, I., & Desjardins, A. (2016). Carbon‐nanotube–PDMS composite coatings on optical fibers for all‐optical ultrasound imaging. Advanced Functional Materials.
Daga, P., Chadebecq, F., Shakir, D., Herrera, L., Tella, M., Dwyer, G., David, A., Deprest, J., Stoyanov, D., & Vercauteren, T. (2016). Real-time mosaicing of fetoscopic videos using SIFT. Medical imaging 2016: image-guided procedures, robotic interventions, and modeling.
Prados, F., Cardoso, M., Yiannakas, M., Hoy, L., Tebaldi, E., Kearney, H., Liechti, M., Miller, D., Ciccarelli, O., & Wheeler-Kingshott, C. (2016). Fully automated grey and white matter segmentation of the cervical cord in vivo. Proceedings of the 24th Annual Meeting of ISMRM, Singapore.
Andrews, K., Frost, C., Modat, M., Cardoso, M., Rowe, C., Villemagne, V., Fox, N., Ourselin, S., & Schott, J. (2016). Acceleration of hippocampal atrophy rates in asymptomatic amyloidosis. Neurobiology of aging.
Nowell, M., Sparks, R., Zombori, G., Miserocchi, A., Rodionov, R., Diehl, B., Wehner, T., Baio, G., Trevisi, G., & Tisdall, M. (2016). Comparison of computer-assisted planning and manual planning for depth electrode implantations in epilepsy. Journal of neurosurgery.
Markiewicz, P., Thielemans, K., Schott, J., Atkinson, D., Arridge, S., Hutton, B., & Ourselin, S. (2016). Rapid processing of PET list-mode data for efficient uncertainty estimation and data analysis. Physics in Medicine & Biology.
Melbourne, A., Eaton‐Rosen, Z., Orasanu, E., Price, D., Bainbridge, A., Cardoso, M., Kendall, G., Robertson, N., Marlow, N., & Ourselin, S. (2016). Longitudinal development in the preterm thalamus and posterior white matter: MRI correlations between diffusion weighted imaging and T2 relaxometry. Human Brain Mapping.
Dingwall, N., Chalk, A., Martin, T., Scott, C., Semedo, C., Le, Q., Orasanu, E., Cardoso, J., Melbourne, A., & Marlow, N. (2016). T2 relaxometry in the extremely-preterm brain at adolescence. Magnetic resonance imaging.
Ourselin, S., Joskowicz, L., Sabuncu, M., Unal, G., & Wells, W. (2016). Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II. .
Prados, F., Cardoso, M., Burgos, N., Wheeler-Kingshott, C., Ourselin, S., Angela, C., Gandini, M., & Ourselin, S. (2016). NiftyWeb: web based platform for image processing on the cloud. 24th scientific meeting and exhibition of the international society for magnetic resonance in medicine (ISMRM).
Xu, Z., Lee, C., Heinrich, M., Modat, M., Rueckert, D., Ourselin, S., Abramson, R., & Landman, B. (2016). Evaluation of six registration methods for the human abdomen on clinically acquired CT. IEEE Transactions on Biomedical Engineering.
Mendelson, A., Zuluaga, M., Hutton, B., & Ourselin, S. (2016). What is the distribution of the number of unique original items in a bootstrap sample?. arXiv preprint arXiv:1602.05822.
Bocchetta, M., Cardoso, M., Cash, D., Ourselin, S., Warren, J., & Rohrer, J. (2016). Patterns of regional cerebellar atrophy in genetic frontotemporal dementia. NeuroImage: Clinical.
Orasanu, E., Bazin, P., Melbourne, A., Lorenzi, M., Lombaert, H., Robertson, N., Kendall, G., Weiskopf, N., Marlow, N., & Ourselin, S. (2016). Longitudinal analysis of the preterm cortex using multi-modal spectral matching. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I 19.
Prados Carrasco, F., Solanky, B., Alves Da Mota, P., Cardoso, M., Brownlee, W., Riemer, F., Miller, D., Golay, X., Wheeler-Kingshott, C., & Ourselin, S. (2016). Automatic sodium maps reconstruction using PatchMatch algorithm for phantom detection. .
Cortese, R., Magnollay, L., De Angelis, F., Eshaghi, A., Grussu, F., Prados, F., Ourselin, S., Yiannakas, M., Simone, I., & Miller, D. (2016). No Differences in Spinal Cord White and Grey Matter Diffusion Abnormalities between Neuromyelitis Optica Spectrum Disorder and Multiple Sclerosis (P4. 151). .
Prados Carrasco, F., Yiannakas, M., Cardoso, M., Grussu, F., De Angelis, F., Plantone, D., Miller, D., Ciccarelli, O., Wheeler-Kingshott, C., & Ourselin, S. (2016). Computing spinal cord atrophy using the Boundary Shift Integral: a more powerful outcome measure for clinical trials?. .
Arbel, T., Cardoso, M., Wells III, W., Chung, A., & Precup, D. (2016). Editorial on Special Issue on Probabilistic Models for Biomedical Image Analysis. Computer Vision and Image Understanding.
Du, X., Allan, M., Dore, A., Ourselin, S., Hawkes, D., Kelly, J., & Stoyanov, D. (2016). Combined 2D and 3D tracking of surgical instruments for minimally invasive and robotic-assisted surgery. International journal of computer assisted radiology and surgery.
Holmes, H., Colgan, N., Ismail, O., Ma, D., Powell, N., O'Callaghan, J., Harrison, I., Johnson, R., Murray, T., & Ahmed, Z. (2016). Imaging the accumulation and suppression of tau pathology using multiparametric MRI. Neurobiology of aging.
Bocchetta, M., Toussaint, N., Hutel, M., Modat, M., Cardoso, M., Gordon, E., Dick, K., Cash, D., van Swieten, J., & Borroni, B. (2016). Multimodal imaging analysis of C9orf72-associated FTD in the Genetic Frontotemporal dementia Initiative (GENFI) study. .
Gruijthuijsen, C., Javaux, A., Borghesan, G., Vercauteren, T., Stoyanov, D., Ourselin, S., Perret, J., Reynaerts, D., & Vander Poorten, E. (2016). Haptic Guidance in Comanipulated Laser Surgery for Fetal Disorders. Proceedings ACTUATOR 2016.
Meeter, L., Dopper, E., Jiskoot, L., Sanchez‐Valle, R., Graff, C., Benussi, L., Ghidoni, R., Pijnenburg, Y., Borroni, B., & Galimberti, D. (2016). Neurofilament light chain: a biomarker for genetic frontotemporal dementia. Annals of clinical and translational neurology.
Harding, S., Bocchetta, M., Gordon, E., Cash, D., Cardoso, M., Adamson, G., Ourselin, S., Warren, J., Mead, S., & Rohrer, J. (2016). TMEM106B polymorphism is associated with lower cortical volumes in a clinically diagnosed FTD cohort. .
Markiewicz, P., Ehrhardt, M., Ourselin, S., Atkinson, D., Barnes, A., Thielemans, K., Pizarro, L., Duncan, J., Kolehmainen, V., & Liljeroth, M. (2016). PET Reconstruction with an Anatomical MRI Prior using Parallel Level Sets. .
Kanber, B., Prados, F., Cawley, N., Eshaghi, A., Collorone, S., Wheeler-Kingshott, C., Barkhof, F., Ciccarelli, O., & Ourselin, S. (2016). An integrated imaging informatics software platform to improve the analysis of clinical trials and research data in MS. .
Prados, F., Solanky, B., Da Mota, P., Cardoso, M., Brownlee, W., Riemer, F., Miller, D., Golay, X., Ourselin, S., & Wheeler-Kingshott, C. (2016). Regional variation of total sodium concentration in the healthy human brain. Proc. Intl. Soc. Mag. Reson. Med.
Erlandsson, K., Dickson, J., Arridge, S., Atkinson, D., Ourselin, S., & Hutton, B. (2016). MR imaging–guided partial volume correction of PET data in PET/MR imaging. PET clinics.
Gordon, E., Bocchetta, M., Cardoso, M., Harding, S., Ourselin, S., Warren, J., & Rohrer, J. (2016). Clinical, genetic and pathological stratification in frontotemporal dementia (FTD): implications for clinical trial design. .
Vasconcelos, F., Peebles, D., Ourselin, S., & Stoyanov, D. (2016). Spatial calibration of a 2D/3D ultrasound using a tracked needle. International Journal of Computer Assisted Radiology and Surgery.
Niedworok, C., Brown, A., Jorge Cardoso, M., Osten, P., Ourselin, S., Modat, M., & Margrie, T. (2016). aMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain data. Nature communications.
Duncan, J., Winston, G., Koepp, M., & Ourselin, S. (2016). Brain imaging in the assessment for epilepsy surgery. The Lancet Neurology.
Manber, R., Thielemans, K., Hutton, B., Wan, S., McClelland, J., Barnes, A., Arridge, S., Ourselin, S., & Atkinson, D. (2016). Joint PET-MR respiratory motion models for clinical PET motion correction. Physics in medicine and biology.
Atehortúa, A., Zuluaga, M., Ourselin, S., Giraldo, D., & Romero, E. (2016). Automatic segmentation of 4D cardiac MR images for extraction of ventricular chambers using a spatio-temporal approach. Medical Imaging 2016: Image Processing.
Burgos, N., Cardoso, M., Guerreiro, F., McClelland, J., Knopf, A., & Ourselin, S. (2016). Simultaneous organ-at-risk segmentation and CT synthesis in the pelvic region for MRI-only radiotherapy treatment planning. 15th International Conference on the Use of Computers in Radiation Therapy (ICCR).
Thompson, S., Stoyanov, D., Schneider, C., Gurusamy, K., Ourselin, S., Davidson, B., Hawkes, D., & Clarkson, M. (2016). Hand–eye calibration for rigid laparoscopes using an invariant point. International journal of computer assisted radiology and surgery.
Prados, F., Cardoso, M., Kanber, B., Ciccarelli, O., Kapoor, R., Wheeler-Kingshott, C., & Ourselin, S. (2016). A multi-time-point modality-agnostic patch-based method for lesion filling in multiple sclerosis. Neuroimage.
Orasanu, E., Melbourne, A., Eaton-Rosen, Z., Atkinson, D., Saborowska, A., Beckmann, J., Marlow, N., & Ourselin, S. (2016). Cortical folding patterns in extremely preterm born young adults. .
Yiannakas, M., Grussu, F., Louka, P., Prados, F., Samson, R., Battiston, M., Altmann, D., Ourselin, S., Miller, D., & Gandini Wheeler-Kingshott, C. (2016). Reduced field-of-view diffusion-weighted imaging of the lumbosacral enlargement: a pilot in vivo study of the healthy spinal cord at 3T. PloS one.
Melbourne, A., Pratt, R., Owen, D., Sokloska, M., Bainbridge, A., Atkinson, D., Kendall, G., Deprest, J., Vercauteren, T., & David, A. (2016). Placental image analysis using coupled diffusion-weighted and multi-echo T2 MRI and a multi-compartment model. .
Brownlee, W., Da Mota, P., Prados, F., Schneider, T., Cardoso, M., Altmann, D., Ourselin, S., Wheeler-Kingshott, C., Ciccarelli, O., & Miller, D. (2016). Neurite Orientation Dispersion and Density Imaging (NODDI) Is Sensitive to Microstructural Damage Related to Disability in Relapse-Onset MS (S41. 003). .
Eaton-Rosen, Z., Melbourne, A., Cardoso, M., Marlow, N., & Ourselin, S. (2016). Beyond the resolution limit: diffusion parameter estimation in partial volume. Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III 19.
Prados Carrasco, F., Solanky, B., Alves da Mota, P., Cardoso, M., Brownlee, W., Riemer, F., Miller, D., Golay, X., Ourselin, S., & Wheeler-Kingshott, C. (2016). Regional variation of total sodium concentration in the healthy human brain. .
Samson, R., Brownlee, W., Cardoso, M., Brown, W., Pardini, M., Prados Carrasco, F., Ourselin, S., Wheeler-Kingshott, C., Ciccarelli, O., & Miller, D. (2016). Outer and inner cortical MTR abnormalities in clinically isolated syndromes. .
Hütel, M., Melbourne, A., Thomas, D., Rohrer, J., & Ourselin, S. (2016). An overcomplete and efficient ICA for BOLD-fMRI. .
Carrasco, F., Cardoso, M., Burgos, N., Wheeler-Kingshott, C., & Ourselin, S. (2016). NiftyWeb: web based platform for image processing on the cloud. Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine–ISMRM 2016.
Gruijthuijsen, C., Javaux, A., Devreker, A., Vercauteren, T., Ourselin, S., Stoyanov, D., Deprest, J., Reynaerts, D., & Vander Poorten, E. (2016). Haptic Guidance Schemes for Robot-assisted Minimal Invasive Fetal Surgery. Proceedings of the 6th Joint Workshop on New Technologies for Computer/Robot Assisted Surgery.
Melbourne, A., Orasanu, E., Eaton-Rosen, Z., Cardoso, M., Beckmann, J., Smith, L., Atkinson, D., Marlow, N., & Ourselin, S. (2016). Analysis of brain volume in a 19 year-old extremely-preterm born cohort. .
Burgos, N., Guerreiro, F., McClelland, J., Nill, S., Dearnaley, D., Desouza, N., Oelfke, U., Knopf, A., Ourselin, S., & Cardoso, M. (2016). Joint segmentation and CT synthesis for MRI-only radiotherapy treatment planning. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II 19.
Lehmann, M., Melbourne, A., Dickson, J., Ahmed, R., Modat, M., Cardoso, M., Thomas, D., De Vita, E., Crutch, S., & Warren, J. (2016). A novel use of arterial spin labelling MRI to demonstrate focal hypoperfusion in individuals with posterior cortical atrophy: a multimodal imaging study. Journal of Neurology, Neurosurgery & Psychiatry.
Prados Carrasco, F., Yiannakas, M., Cardoso, M., Grussu, F., De Angelis, F., Plantone, D., Miller, D., Ciccarelli, O., Wheeler-Kingshott, C., & Ourselin, S. (2016). Atrophy computation in the spinal cord using the Boundary Shift Integral. .
Huen, I., Beckmann, J., Suzuki, Y., Zuluaga, M., Melbourne, A., van Osch, M., Atkinson, D., Ourselin, S., Marlow, N., & Golay, X. (2016). DOES EXTREME PREMATURITY AFFECT ADULT BRAIN VESSEL COMPLIANCE? A PRELIMINARY MRI STUDY. Journal of Cerebral Blood Flow and Metabolism.
Oxtoby, N., Young, A., Lorenzi, M., Cash, D., Weston, P., Ourselin, S., Fox, N., Schott, J., & Alexander, D. (2016). P2‐144: Model‐Based Comparison of Autosomal‐Dominant and Late‐Onset Alzheimer's Disease Progression in the Dian and ADNI Studies. Alzheimer's & Dementia.
Lorenzi, M., Gutman, B., Altmann, A., Hibar, D., Jahanshad, N., Alexander, D., Thompson, P., & Ourselin, S. (2016). P1‐121: Linking Gene Pathways and Brain Atrophy in Alzheimer's Disease. Alzheimer's & Dementia.
Dwyer, G., Bergeles, C., Chadebecq, F., Pawar, V., Vander Poorten, E., Ourselin, S., Deprest, J., De Coppi, P., Vercauteren, T., & Stoyanov, D. (2016). Cooperative Control with Distal Manipulation for Fetoscopic Laser Photocoagulation. Joint Workshop on New Technologies for Computer/Robot Assisted Surgery.
Cortese, R., Magnollay, L., De Angelis, F., Tur, C., Prados, F., Ourselin, S., Yiannakas, M., Simone, I., Miller, D., & Yousry, T. (2016). The Central Vein Sign on SWI at 3T MRI Differentiates Multiple Sclerosis from Neuromyelitis Optica (P4. 147). .
Scott, C., Jiao, J., Melbourne, A., Schott, J., Hutton, B., & Ourselin, S. (2016). ASL-incorporated pharmacokinetic modelling of PET data with reduced acquisition time: application to amyloid imaging. Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III.
Mutsaerts, H., Mirza, S., Rohrer, J., Thomas, D., Cash, D., De Vita, E., Dick, K., Ourselin, S., van Swieten, J., & Galimberti, D. (2016). Presymptomatic cerebral perfusion biomarker changes in genetic frontotemporal dementia: results from the GENetic Frontotemporal dementia Initiative (GENFI). .
Xia, W., West, S., Nikitichev, D., Ourselin, S., Beard, P., & Desjardins, A. (2016). Interventional multispectral photoacoustic imaging with a clinical linear array ultrasound probe for guiding nerve blocks. Photons Plus Ultrasound: Imaging and Sensing 2016.
Cury, C., Lorenzi, M., Cash, D., Nicholas, J., Routier, A., Rohrer, J., Ourselin, S., Durrleman, S., & Modat, M. (2016). Spatio-temporal shape analysis of cross-sectional data for detection of early changes in neurodegenerative disease. Spectral and Shape Analysis in Medical Imaging: First International Workshop, SeSAMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Revised Selected Papers 1.
Melbourne, A., Toussaint, N., Owen, D., Simpson, I., Anthopoulos, T., De Vita, E., Atkinson, D., & Ourselin, S. (2016). NiftyFit: a software package for multi-parametric model-fitting of 4D magnetic resonance imaging data. Neuroinformatics.
Thomas, D., Nery, F., Gordon, I., Clark, C., Ourselin, S., Golay, X., Atkinson, D., & De Vita, E. (2016). Reduction of motion artefacts in multi-shot 3D GRASE Arterial Spin Labelling using Autofocus. Proceedings of the ISMRM 24th Annual Meeting & Exhibition, Singapore.
Woollacott, I., Rohrer, J., Dick, K., Brotherhood, E., Gordon, E., Fellows, A., Toombs, J., Druyeh, R., Cardoso, M., & Ourselin, S. (2016). Serum neurofilament light chain protein is a measure of disease intensity in frontotemporal dementia. JOURNAL OF NEUROCHEMISTRY.
Melbourne, A., Orasanu, E., Eaton-Rosen, Z., Beckmann, J., Saborowska, A., Atkinson, D., Marlow, N., & Ourselin, S. (2016). Characterizing microstructure and shape of the extremely preterm 19 year-old corpus callosum. .
Tur, C., Eshaghi, A., Jenkins, T., Altmann, D., Prados, F., Charalambous, T., Clayden, J., Ourselin, S., Wheeler-Kingshott, C., & Miller, D. (2016). Structural cortical networks in optic neuritis (early CIS). .
Kochan, M., Modat, M., Vercauteren, T., White, M., Mancini, L., Winston, G., McEvoy, A., Thornton, J., Yousry, T., & Duncan, J. (2016). Bilateral weighted adaptive local similarity measure for registration in neurosurgery. Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III 19.
Ehrhardt, M., Markiewicz, P., Liljeroth, M., Barnes, A., Kolehmainen, V., Duncan, J., Pizarro, L., Atkinson, D., Hutton, B., & Ourselin, S. (2016). PET reconstruction with an anatomical MRI prior using parallel level sets. IEEE transactions on medical imaging.
Tella-Amo, M., Daga, P., Chadebecq, F., Thompson, S., Shakir, D., Dwyer, G., Wimalasundera, R., Deprest, J., Stoyanov, D., & Vercauteren, T. (2016). A combined EM and visual tracking probabilistic model for robust mosaicking: application to fetoscopy. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops.
Prados Carrasco, F., Cardoso, M., Yiannakas, M., Hoy, L., Tebaldi, E., Kearney, H., Liechti, M., Ciccarelli, O., Wheeler-Kingshott, C., & Ourselin, S. (2016). Fully automated grey and white matter segmentation of the cervical cord in vivo. .
Marinescu, R., Young, A., Oxtoby, N., Firth, N., Lorenzi, M., Eshaghi, A., Wottschel, V., Cardoso, M., Modat, M., & Yong, K. (2016). P1‐009: A Data‐Driven Comparison of the Progression of Brain Atrophy in Posterior Cortical Atrophy and Alzheimer's Disease. Alzheimer's & Dementia.
Orasanu, E., Melbourne, A., Eaton-Rosen, Z., Atkinson, D., Lawan, J., Beckmann, J., Marlow, N., & Ourselin, S. (2016). Local shape analysis of the thalamus in extremely preterm born young adults. .
Meeter, L., Dopper, E., Jiskoot, L., Sanchez-Valle, R., Graff, C., Benussi, L., Ghidoni, R., Pijnenburg, Y., Borroni, B., & Galimberti, D. (2016). Neurofilament light chain: a biomarker for disease onset and survival in genetic frontotemporal dementia. Journal of Neurochemistry.
Tur, C., Eshaghi, A., Jenkins, T., Prados, F., Clayden, J., Ourselin, S., Altmann, D., Wheeler-Kingshott, C., Miller, D., & Thompson, A. (2016). Longitudinal changes in structural cortical networks after clinically isolated syndrome. European Journal of Neurology.
Nikitichev, D., Xia, W., Daher, B., Hill, E., Wong, R., David, A., Desjardins, A., Ourselin, S., & Vercauteren, T. (2016). Placenta vasculature 3D printed imaging and teaching phantoms. 32nd International Conference on Digital Printing Technologies, NIP 2016.
Vasconcelos, F., Peebles, D., Ourselin, S., & Stoyanov, D. (2016). Similarity registration problems for 2d/3d ultrasound calibration. Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VI 14.
Yiannakas, M., Louka, P., Grussu, F., Prados, F., Samson, R., Battiston, M., Ourselin, S., Miller, D., & Wheeler-Kingshott, C. (2016). Reduced Field-of-View Diffusion-Weighted Imaging of the Lumbosacral Enlargement: A Pilot In Vivo study of the healthy spinal cord using a clinical 3T MR system. Proc. Intl. Soc. Mag. Reson. Med.
Biffi, B., Zuluaga, M., Ourselin, S., Taylor, A., & Schievano, S. (2016). Papillary muscle segmentation from a multi-atlas database: a feasibility study. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: 6th International Workshop, STACOM 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers.
Cortese, R., Magnollay, L., De Angelis, F., Prados Carrasco, F., Grussu, F., Tur Gomez, C., Yiannakas, M., Simone, I., Altmann, D., & Miller, D. (2016). No differences in spinal cord DTI abnormalilties between neuromyelitis optica spectrum disorder and multiple sclerosis. Multiple Sclerosis Journal.
Orasanu, E., Melbourne, A., Cardoso, M., Lomabert, H., Kendall, G., Robertson, N., Marlow, N., & Ourselin, S. (2016). Cortical folding of the preterm brain: a longitudinal analysis of extremely preterm born neonates using spectral matching. Brain and behavior.
Brownlee, W., Da Mota, P., Prados, F., Solanky, B., Riemer, F., Cardoso, M., Ourselin, S., Golay, X., Wheeler-Kingshott, C., & Miller, D. (2016). Increased cortical and deep grey matter sodium concentration is associated with physical and cognitive disability in relapse-onset multiple sclerosis.. .
Wang, G., Zuluaga, M., Pratt, R., Aertsen, M., Doel, T., Klusmann, M., David, A., Deprest, J., Vercauteren, T., & Ourselin, S. (2016). Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views. Medical image analysis.
Javaux, A., Denhaen, M., Hagenimana, Y., Devreker, A., Gruijthuijsen, C., Vercauteren, T., Ourselin, S., Stoyanov, D., Deprest, J., & Reynaerts, D. (2016). Estimating The Interaction Forces on the Body-wall During Minimal Invasive Fetal Surgery. Proceedings of the 6th Joint Workshop on New Technologies for Computer/Robot Assisted Surgery.
Grussu, F., Schneider, T., Prados, F., Tur, C., Ourselin, S., Zhang, H., Alexander, D., & Wheeler-Kingshott, C. (2016). Axon diameter distribution influences diffusion-derived axonal density estimation in the human spinal cord: in silico and in vivo evidence. .
Cash, D., Kinnunen, K., Weston, P., Ryan, N., Modat, M., Bateman, R., Morris, J., Ourselin, S., Rossor, M., & Lee Smith Benzinger, T. (2016). F5‐02‐02: Longitudinal Atrophy in Autosomal Dominant Ad and Sporadic Ad: Lessons from Dian. Alzheimer's & Dementia.
Bocchetta, M., Gordon, E., Marshall, C., Slattery, C., Cardoso, M., Cash, D., Espak, M., Modat, M., Ourselin, S., & Frisoni, G. (2016). The habenula: an under-recognised area of importance in frontotemporal dementia?. Journal of Neurology, Neurosurgery & Psychiatry.
Xia, W., West, S., Mari, J., Ourselin, S., David, A., & Desjardins, A. (2016). 3D ultrasonic needle tracking with a 1.5 D transducer array for guidance of fetal interventions. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I 19.
Jiao, J., Bousse, A., Thielemans, K., Burgos, N., Weston, P., Schott, J., Atkinson, D., Arridge, S., Hutton, B., & Markiewicz, P. (2016). Direct parametric reconstruction with joint motion estimation/correction for dynamic brain PET data. IEEE transactions on medical imaging.
Prados Carrasco, F., Cardoso, M., Burgos, N., Wheeler-Kingshott, C., & Ourselin, S. (2016). NiftyWeb: web based platform for image processing on the cloud. .
Mutsaerts, H., Rohrer, J., Thomas, D., Cash, D., de Vita, E., Nicholas, J., van Swieten, J., Dopper, E., Jiskoot, L., & van Minkelen, R. (2016). P1‐025: Cerebral Perfusion as an Imaging Biomarker of Presymptomatic Genetic Frontotemporal Dementia: Preliminary Results from the Genetic Frontotemporal Dementia Initiative (GENFI). Alzheimer's & Dementia.
Tona, F., Cawley, N., Grussu, F., Prados, F., Ourselin, S., Kipp, L., Wheeler-Kingshott, C., & Ciccarelli, O. (2016). Neurite orientation dispersion and density imaging (NODDI) of the spinal cord in relapsing remitting multiple sclerosis. .
Nowell, M., Rodionov, R., Zombori, G., Sparks, R., Rizzi, M., Ourselin, S., Miserocchi, A., McEvoy, A., & Duncan, J. (2016). A pipeline for 3D multimodality image integration and computer-assisted planning in epilepsy surgery. JoVE (Journal of Visualized Experiments).
Owen, D., Melbourne, A., Thomas, D., De Vita, E., Rohrer, J., & Ourselin, S. (2016). Optimisation of arterial spin labelling using bayesian experimental design. Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III 19.
Nikitichev, D., Xia, W., Hill, E., Mosse, C., Perkins, T., Konyn, K., Ourselin, S., Desjardins, A., & Vercauteren, T. (2016). Music-of-light stethoscope: a demonstration of the photoacoustic effect. Physics education.
Huen, I., Beckmann, J., Suzuki, Y., Zuluaga, M., Melbourne, A., van Osch, M., Atkinson, D., Ourselin, S., Marlow, N., & Golay, X. (2016). Measurement of bolus arrival time and velocity in Circle of Willis using dynamic MR angiography. .
Pardini, M., Sudre, C., Prados, F., Yaldizli, Ö., Sethi, V., Muhlert, N., Samson, R., Van De Pavert, S., Cardoso, M., & Ourselin, S. (2016). Relationship of grey and white matter abnormalities with distance from the surface of the brain in multiple sclerosis. Journal of Neurology, Neurosurgery & Psychiatry.
Cash, D., Ridgway, G., Kinnunen, K., Benzinger, T., Wallon, D., Jack Jr, C., Bateman, R., Morris, J., Rossor, M., & Ourselin, S. (2016). O1‐07‐01: A Longitudinal Morphometric Study of Familial Alzheimer’s Disease: Results From DIAN. Alzheimer's & Dementia.
Blaiotta, C., Cardoso, M., & Ashburner, J. (2016). Variational inference for medical image segmentation. Computer Vision and Image Understanding.
Ginsberg, Y., Xia, W., West, S., Ourselin, S., Nikitichev, D., David, A., & Desjardins, A. (2016). 261: Ultrasonic needle tracking for guidance of fetal interventions. American Journal of Obstetrics & Gynecology.
Eshaghi, A., Prados, F., Brownlee, W., Tur, C., van de Pavert, S., Cawley, N., Altmann, D., Chard, D., De Stefano, N., & Stromillo, M. (2016). Imaging signature of multiple sclerosis phenotypes in grey matter.. Multiple Sclerosis.
Charalambous, T., Tur, C., Clayden, J., Prados, F., van Pavert, S., Chard, D., Miller, D., Ourselin, S., Wheeler-Kingshott, C., & Thompson, A. (2016). Changes in diffusion-based structural brain network in relapsing-remitting multiple sclerosis. .
Battiston, M., Grussu, F., Fairney, J., Prados, F., Ourselin, S., Cercignani, M., Wheeler-Kingshott, C., & Samson, R. (2016). In vivo quantitative Magnetisation Transfer in the cervical spinal cord using reduced Field-of-View imaging: a feasibility study. .
Bousse, A., Bertolli, O., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B., & Thielemans, K. (2016). Maximum-likelihood joint image reconstruction and motion estimation with misaligned attenuation in TOF-PET/CT. Physics in Medicine & Biology.
Young, J., Modat, M., Cardoso, M., Ashburner, J., & Ourselin, S. (2016). An oblique approach to prediction of conversion to alzheimer’s disease with multikernel gaussian processes. Machine Learning and Interpretation in Neuroimaging: 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers 4.
Kipp, L., Cawley, N., Prados, F., Schneider, T., Ourselin, S., Wheeler-Kingshott, C., Miller, D., Thompson, A., & Ciccarelli, O. (2016). Neurite orientation dispersion and density imaging (NODDI) in RRMS (P4. 159). .
Eaton-Rosen, Z., Cardoso, M., Melbourne, A., Orasanu, E., Bainbridge, A., Kendall, G., Robertson, N., Marlow, N., & Ourselin, S. (2016). Fitting parametric models of diffusion MRI in regions of partial volume. Medical Imaging 2016: Image Processing.
Lorenzi, M., Simpson, I., Mendelson, A., Vos, S., Cardoso, M., Modat, M., Schott, J., & Ourselin, S. (2016). Multimodal image analysis in Alzheimer’s disease via statistical modelling of non-local intensity correlations. Scientific reports.
Prados, F., Cardoso, M., Cawley, N., Kanber, B., Ciccarelli, O., Wheeler-Kingshott, C., & Ourselin, S. (2016). Fully automated patch-based image restoration: application to pathology inpainting. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers 2.
van de Pavert, S., Pardini, M., Eshaghi, A., Prados, F., Yaldizli, O., Sethi, V., Ourselin, S., Wheeler-Kingshott, C., Miller, D., & Ciccarelli, O. (2016). Spatial and temporal characteristics of magnetisation transfer ratio changes in different corticothalamic systems in multiple sclerosis. .
Melbourne, A., Eaton-Rosen, Z., Orasanu, E., Beckmann, J., Saborowska, A., Atkinson, D., Marlow, N., & Ourselin, S. (2016). Perfusion and diffusion in the extremely preterm young adult thalamus. .
Georgiadis, K., Wray, S., Ourselin, S., Warren, J., & Modat, M. (2016). Simulation of pathogenic protein spread in an artificial neural network. .
Ourselin, S., Emberton, M., & Vercauteren, T. (2016). From computer-assisted intervention research to clinical impact: The need for a holistic approach. Medical image analysis.
Jia, D., Shi, W., Rueckert, D., Liu, L., Ourselin, S., & Zhuang, X. (2016). A multi-resolution multi-model method for coronary centerline extraction based on minimal path. Medical Imaging and Augmented Reality: 7th International Conference, MIAR 2016, Bern, Switzerland, August 24-26, 2016, Proceedings 7.
Zhang, J., Slattery, C., Paterson, R., Foulkes, A., Mancini, L., Thomas, D., Modat, M., Toussaint, N., Cash, D., & Thornton, J. (2016). Neurite Orientation Dispersion and Density Imaging (NODDI) in Young Onset Alzheimer's Disease and Its Syndromic Variants. .
Guerreiro, F., McClelland, J., Dunlop, A., Burgos, N., Cardoso, M., Wong, K., Nill, S., Oelfke, U., & Knopf, A. (2016). Evaluation of different approaches to obtain synthetic CT images for a MRI-only radiotherapy workflow. 3rd MR in RT Symposium.
Powell, N., Modat, M., Cardoso, M., Ma, D., Holmes, H., Yu, Y., O’Callaghan, J., Cleary, J., Sinclair, B., & Wiseman, F. (2016). Fully-automated μMRI morphometric phenotyping of the Tc1 mouse model of Down syndrome. PLoS One.
Samson, R., Cardoso, M., Brownlee, W., Brown, W., Pardini, M., Ourselin, S., Wheeler-Kingshott, C., & Chard, D. (2016). Outer and inner cortical MTR abnormalities observed in clinically isolated syndromes. .
Blaiotta, C., Freund, P., Curt, A., Cardoso, M., & Ashburner, J. (2016). A probabilistic framework to learn average shaped tissue templates and its application to spinal cord image segmentation. Proceedings of the 24th Annual Meeting of ISMRM, Singapore.
Sparks, R., Zombori, G., Rodionov, R., Zuluaga, M., Diehl, B., Wehner, T., Miserocchi, A., McEvoy, A., Duncan, J., & Ourselin, S. (2016). Efficient anatomy driven automated multiple trajectory planning for intracranial electrode implantation. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I.
Wylezinska-Arridge, M., White, M., Davagnanam, I., Cardoso, M., Vos, S., Ourselin, S., Ciccarelli, O., Yousry, T., & Thornton, J. (2016). Capturing clinical MRI complexity: a first step towards realizing the maximum research value of neuroradiological MRI.. Proc. Intl. Soc. Mag. Reson. Med.
Markiewicz, P., Schott, J., Atkinson, D., Arridge, S., Hutton, B., & Ourselin, S. (2016). Infrastructure for efficient multi-component uncertainty estimation of SUVR values in amyloid PET imaging. .
Sekine, T., Burgos, N., Warnock, G., Huellner, M., Buck, A., Ter Voert, E., Cardoso, M., Hutton, B., Ourselin, S., & Veit-Haibach, P. (2016). Multi-atlas–based attenuation correction for brain 18F-FDG PET imaging using a time-of-flight PET/MR scanner: comparison with clinical single-atlas–and CT-based attenuation correction. Journal of Nuclear Medicine.
Cardoso, M., Modat, M., Vercauteren, T., & Ourselin, S. (2015). Scale factor point spread function matching: beyond aliasing in image resampling. Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part II 18.
Išgum, I., Benders, M., Avants, B., Cardoso, M., Counsell, S., Gomez, E., Gui, L., Hűppi, P., Kersbergen, K., & Makropoulos, A. (2015). Evaluation of automatic neonatal brain segmentation algorithms: the NeoBrainS12 challenge. Medical image analysis.
Johnsen, S., Taylor, Z., Han, L., Hu, Y., Clarkson, M., Hawkes, D., & Ourselin, S. (2015). Detection and modelling of contacts in explicit finite-element simulation of soft tissue biomechanics. International journal of computer assisted radiology and surgery.
Weston, P., Paterson, R., Lehmann, M., Modat, M., Bomanji, J., Kayani, I., Dickson, J., Barnes, A., Cash, D., & Ourselin, S. (2015). P1‐191: Using florbetapir F18 PET to validate CSF cut‐points and increase diagnostic certainty in atypical dementias. Alzheimer's & Dementia.
Tobon-Gomez, C., Zuluaga, M., Chubb, H., Williams, S., Butakoff, C., Karim, R., Camara, O., Ourselin, S., & Rhode, K. (2015). Standardised unfold map of the left atrium: regional definition for multimodal image analysis. Journal of Cardiovascular Magnetic Resonance.
Chadebecq, F., Vercauteren, T., Wimalasundera, R., Attilakos, G., David, A., Deprest, J., Ourselin, S., & Stoyanov, D. (2015). Practical Dry Calibration With Medium Adaptation For Fluid-Immersed Endoscopy. Hamlyn Symposium on Medical Robotics.
Roura, E., Schneider, T., Modat, M., Daga, P., Muhlert, N., Chard, D., Ourselin, S., Lladó, X., & Wheeler-Kingshott, C. (2015). Multi-channel registration of fractional anisotropy and T1-weighted images in the presence of atrophy: application to multiple sclerosis. Functional neurology.
Sindhwani, N., Feola, A., De Keyzer, F., Claus, F., Callewaert, G., Urbankova, I., Ourselin, S., D’hooge, J., & Deprest, J. (2015). Three-dimensional analysis of implanted magnetic-resonance-visible meshes. International urogynecology journal.
Mota, A., Cuplov, V., Schott, J., Hutton, B., Thielemans, K., Drobnjak, I., Dickson, J., Bert, J., Burgos, N., & Cardoso, J. (2015). Establishment of an open database of realistic simulated data for evaluation of partial volume correction techniques in brain PET/MR. EJNMMI physics.
Wells, J., O'Callaghan, J., Holmes, H., Powell, N., Johnson, R., Siow, B., Torrealdea, F., Ismail, O., Walker-Samuel, S., & Golay, X. (2015). In vivo imaging of tau pathology using multi-parametric quantitative MRI. Neuroimage.
Weston, P., Lehmann, M., Simpson, I., Toussaint, N., Harper, L., Ryan, N., MacPherson, K., Woodward, F., Zhang, H., & Schott, J. (2015). O2‐01‐06: Measurement of cortical mean diffusivity detects early microstructural breakdown of the cerebral cortex in presymptomatic familial Alzheimer's disease. Alzheimer's & Dementia.
Liljeroth, M., Erlandsson, K., Fraioli, F., Thomas, D., De Vita, E., Hutton, B., Barnes, A., Arridge, S., Ourselin, S., & Atkinson, D. (2015). Dual-modality evaluation of tumour vasculature, morphology and metabolism via Dynamic Susceptibility Contrast MRI and FluoroEthyl Choline-PET using simultaneous PET/MR. .
Leung, K., Malone, I., Ourselin, S., Gunter, J., Bernstein, M., Thompson, P., Jack Jr, C., Weiner, M., & Fox, N. (2015). Effects of changing from non-accelerated to accelerated MRI for follow-up in brain atrophy measurement. Neuroimage.
Weston, P., Paterson, R., Modat, M., Burgos, N., Cardoso, M., Magdalinou, N., Lehmann, M., Dickson, J., Barnes, A., & Bomanji, J. (2015). Using florbetapir positron emission tomography to explore cerebrospinal fluid cut points and gray zones in small sample sizes. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring.
Orasanu, E., Melbourne, A., Lorenzi, M., Modat, M., Lombaert, H., Eaton-Rosen, Z., Robertson, N., Kendall, G., Marlow, N., & Ourselin, S. (2015). Tensor spectral matching of diffusion weighted images. SAMI Conference Proceedings, MIDAS Journal.
Xia, W., Nikitichev, D., Mari, J., West, S., Ourselin, S., Beard, P., & Desjardins, A. (2015). An interventional multispectral photoacoustic imaging platform for the guidance of minimally invasive procedures. European Conference on Biomedical Optics.
Zuluaga, M., Burgos, N., Mendelson, A., Taylor, A., & Ourselin, S. (2015). Voxelwise atlas rating for computer assisted diagnosis: Application to congenital heart diseases of the great arteries. Medical image analysis.
Lorenzi, M., Ziegler, G., Alexander, D., & Ourselin, S. (2015). Efficient Gaussian process-based modelling and prediction of image time series. Information Processing in Medical Imaging: 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28-July 3, 2015, Proceedings 24.
Brownlee, W., Da Mota, P., Padros, F., Swanton, J., Miszkiel, K., Altmann, D., Ourselin, S., Wheeler-Kingshott, C., Ciccarelli, O., & Miller, D. (2015). Early Spinal Cord MRI Abnormalities are Associated with MS-related Disability Five Years after a Clinically Isolated Syndrome (P6. 165). .
Cardoso, M., Modat, M., Wolz, R., Melbourne, A., Cash, D., Rueckert, D., & Ourselin, S. (2015). Geodesic information flows: spatially-variant graphs and their application to segmentation and fusion. IEEE transactions on medical imaging.
Cortese, R., Magnollay, L., De Angelis, F., Tur, C., Prados, F., Ourselin, S., Yiannakas, M., Miller, D., Yousry, T., & Ciccarelli, O. (2015). Perivenular white matter lesions on SWI at 3-T MRI as a diagnostic sign to differentiate multiple sclerosis from neuromyelitis optica. MULTIPLE SCLEROSIS JOURNAL.
Zuluaga, M., Burgos, N., Taylor, A., & Ourselin, S. (2015). Multi-atlas synthesis for computer assisted diagnosis: application to cardiovascular diseases. 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).
Sudre, C., Cardoso, M., Bouvy, W., Biessels, G., Barnes, J., & Ourselin, S. (2015). Bayesian model selection for pathological neuroimaging data applied to white matter lesion segmentation. IEEE transactions on medical imaging.
Gutman, B., Fletcher, P., Jorge Cardoso, M., Fleishman, G., Lorenzi, M., Thompson, P., & Ourselin, S. (2015). A Riemannian framework for intrinsic comparison of closed genus-zero shapes. Information Processing in Medical Imaging: 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28-July 3, 2015, Proceedings 24.
Marco, L., Ziegler, G., Alexander, D., & Ourselin, S. (2015). Modelling non-stationary and non-separable spatio-temporal changes in neurodegeneration via gaussian process convolution. Machine Learning Meets Medical Imaging: First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers 1.
Wang, G., Zuluaga, M., Pratt, R., Aertsen, M., David, A., Deprest, J., Vercauteren, T., & Ourselin, S. (2015). Slic-Seg: slice-by-slice segmentation propagation of the placenta in fetal MRI using one-plane scribbles and online learning. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18.
Wang, L., Yushkevich, P., & Ourselin, S. (2015). Guest editorial. Neurobiology of aging. Neurobiology of Aging.
Sokolska, M., Uria-Avellanal, C., Cardoso, M., Proisy, M., Bainbridge, A., Ourselin, S., Thomas, D., Robertson, N., & Golay, X. (2015). Assessing brain damage after perinatal hypoxic-ischaemia using an automated protocol for combined regional analysis of the Cerebral Blood Flow and MR spectroscopy. Proc. Intl. Soc. Mag. Reson. Med.
Bousse, A., Jiao, J., Thielemans, K., Atkinson, D., Arridge, S., Ourselin, S., & Hutton, B. (2015). Joint direct motion estimation/kinetic images reconstruction from gated PET Data. Computational Methods for Molecular Imaging.
Burgos, N., Cardoso, M., Thielemans, K., Modat, M., Dickson, J., Schott, J., Atkinson, D., Arridge, S., Hutton, B., & Ourselin, S. (2015). Multi-contrast attenuation map synthesis for PET/MR scanners: assessment on FDG and Florbetapir PET tracers. European journal of nuclear medicine and molecular imaging.
Sari, H., Erlandsson, K., Law, I., Larsson, H., Ourselin, S., Arridge, S., Atkinson, D., & Hutton, B. (2015). Estimation of an image derived input function with MR-defined carotid arteries in FDG-PET human studies using a novel PVC method. .
Johnsen, S., Taylor, Z., Clarkson, M., Hipwell, J., Modat, M., Eiben, B., Han, L., Hu, Y., Mertzanidou, T., & Hawkes, D. (2015). NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics. International journal of computer assisted radiology and surgery.
Brownlee, W., Da Mota, P., Padros, F., Swanton, J., Miszkiel, K., Altmann, D., Ourselin, S., Wheeler-Kingshott, C., Ciccarelli, O., & Miller, D. (2015). Factors Associated with Spinal Cord Atrophy in the First Five Years after a Clinically Isolated Syndrome (S29. 001). .
Erlandsson, K., Liljeroth, M., Atkinson, D., Arridge, S., Ourselin, S., & Hutton, B. (2015). Improved parameter-estimation with combined PET-MRI kinetic modelling. EJNMMI physics.
Orasanu, E., Melbourne, A., Lombaert, H., Cardoso, M., Johnsen, S., Kendall, G., Robertson, N., Marlow, N., & Ourselin, S. (2015). Prefrontal cortical folding of the preterm brain: a longitudinal analysis of preterm-born neonates. Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data: Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers 3.
Holmes, H., Colgan, N., Ismail, O., Ma, D., Wells, J., Powell, N., O'Callaghan, J., Harrison, I., Cardoso, M., & Modat, M. (2015). A multi-scale MRI approach to investigate novel drug treatment strategies in mouse models of Alzheimer's disease. Proc. Intl. Soc. Mag. Reson. Med.
Atehortúa, A., Zuluaga, M., Martínez, F., Ourselin, S., & Romero, E. (2015). Automatic right ventricle (RV) segmentation by propagating a basal spatio-temporal characterization. 11th International Symposium on Medical Information Processing and Analysis.
Pichat, J., Modat, M., Yousry, T., & Ourselin, S. (2015). A multi-path approach to histology volume reconstruction. 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).
Zuluaga, M., Rodionov, R., Nowell, M., Achhala, S., Zombori, G., Mendelson, A., Cardoso, M., Miserocchi, A., McEvoy, A., & Duncan, J. (2015). Stability, structure and scale: improvements in multi-modal vessel extraction for SEEG trajectory planning. International journal of computer assisted radiology and surgery.
Melbourne, A., Eaton-Rosen, Z., Owen, D., Cardoso, J., Beckmann, J., Atkinson, D., Marlow, N., & Ourselin, S. (2015). Measuring cortical neurite-dispersion and perfusion in preterm-born adolescents using multi-modal MRI. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18.
Da Mota, P., Prados, F., Brownlee, W., Cardoso, M., Pardini, M., Toussaint, N., Chard, D., Ourselin, S., Miller, D., & Wheeler-Kingshott, C. (2015). COMPARISON OF SEGMENTATION TECHNIQUES TO MEASURE TISSUE-SPECIFIC ATROPHY IN MULTIPLE SCLEROSIS (MS). Proc. Intl. Soc. Mag. Reson. Med.
Manber, R., Thielemans, K., Hutton, B., Barnes, A., Ourselin, S., Arridge, S., Wan, M., O'Meara, C., & Atkinson, D. (2015). MR image-based PET respiratory motion correction in PET/MR. .
Ziegler, G., Penny, W., Ridgway, G., Ourselin, S., & Friston, K. (2015). Estimating anatomical trajectories with Bayesian mixed-effects modeling. Neuroimage.
Jack Jr, C., Barnes, J., Bernstein, M., Borowski, B., Brewer, J., Clegg, S., Dale, A., Carmichael, O., Ching, C., & DeCarli, C. (2015). Magnetic resonance imaging in Alzheimer's disease neuroimaging initiative 2. Alzheimer's & Dementia.
Song, Y., Totz, J., Thompson, S., Johnsen, S., Barratt, D., Schneider, C., Gurusamy, K., Davidson, B., Ourselin, S., & Hawkes, D. (2015). Locally rigid, vessel-based registration for laparoscopic liver surgery. International journal of computer assisted radiology and surgery.
Manber, R., Atkinson, D., Thielemans, K., Hutton, B., Barnes, A., O'Meara, C., Wan, S., Ourselin, S., & Arridge, S. (2015). Practical PET respiratory motion correction in clinical simultaneous PET/MR. 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).
Bousse, A., Bertolli, O., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B., & Thielemans, K. (2015). Maximum-likelihood joint image reconstruction/motion estimation in attenuation-corrected respiratory gated PET/CT using a single attenuation map. IEEE transactions on medical imaging.
Pratt, R., Deprest, J., Vercauteren, T., Ourselin, S., & David, A. (2015). Systematic review of 3D fetal image reconstruction for fetal surgical planning and intraoperative guidance. .
Young, A., Oxtoby, N., Huang, J., Marinescu, R., Daga, P., Cash, D., Fox, N., Ourselin, S., Schott, J., & Alexander, D. (2015). Multiple orderings of events in disease progression. Information Processing in Medical Imaging: 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28-July 3, 2015, Proceedings 24.
Manber, R., Thielemans, K., Hutton, B., Barnes, A., Ourselin, S., Arridge, S., O’Meara, C., Wan, S., & Atkinson, D. (2015). Practical PET respiratory motion correction in clinical PET/MR. Journal of nuclear medicine.
Rohrer, J., Nicholas, J., Cash, D., van Swieten, J., Dopper, E., Jiskoot, L., van Minkelen, R., Rombouts, S., Cardoso, M., & Clegg, S. (2015). Presymptomatic cognitive and neuroanatomical changes in genetic frontotemporal dementia in the Genetic Frontotemporal dementia Initiative (GENFI) study: a cross-sectional analysis. The Lancet Neurology.
Kochan, M., Daga, P., Burgos, N., White, M., Cardoso, M., Mancini, L., Winston, G., McEvoy, A., Thornton, J., & Yousry, T. (2015). Simulated field maps for susceptibility artefact correction in interventional MRI. International journal of computer assisted radiology and surgery.
Ourselin, S., Alexander, D., Westin, C., & Cardoso, M. (2015). Preface. 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28-July 3, 2015. Proceedings. Information processing in medical imaging: proceedings of the... conference.
Xia, W., Mosse, C., Colchester, R., Mari, J., Nikitichev, D., West, S., Ourselin, S., Beard, P., & Desjardins, A. (2015). Fiber optic photoacoustic probe with ultrasonic tracking for guiding minimally invasive procedures. European Conference on Biomedical Optics.
Bocchetta, M., Gordon, E., Manning, E., Barnes, J., Cash, D., Espak, M., Thomas, D., Modat, M., Rossor, M., & Warren, J. (2015). Detailed volumetric analysis of the hypothalamus in behavioral variant frontotemporal dementia. Journal of Neurology.
Jiao, J., Markiewicz, P., Burgos, N., Atkinson, D., Hutton, B., Arridge, S., & Ourselin, S. (2015). Detail-preserving PET reconstruction with sparse image representation and anatomical priors. Information Processing in Medical Imaging: 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28-July 3, 2015, Proceedings 24.
Weston, P., Paterson, R., Lehmann, M., Modat, M., Bomanji, J., Kayani, I., Dickson, J., Barnes, A., Cash, D., & Ourselin, S. (2015). USING FLORBETAPIR PET TO INCREASE DIAGNOSTIC CERTAINTY IN ATYPICAL DEMENTIAS. .
Sari, H., Erlandsson, K., Thielemans, K., Atkinson, D., Ourselin, S., Arridge, S., & Hutton, B. (2015). Incorporation of mri-aif information for improved kinetic modelling of dynamic pet data. IEEE Transactions on Nuclear Science.
Slattery, C., Zhang, J., Paterson, R., Foulkes, A., Mancini, L., Thomas, D., Modat, M., Toussaint, N., Cash, D., & Thornton, J. (2015). O1‐02‐06: Neurite orientation dispersion and density imaging (NODDI) in young onset Alzheimer's disease and its syndromic variants. Alzheimer's & Dementia.
Cardoso, M., Sudre, C., Modat, M., & Ourselin, S. (2015). Template-based multimodal joint generative model of brain data. Information Processing in Medical Imaging: 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28-July 3, 2015, Proceedings 24.
Burgos, N., Cardoso, M., Guerreiro, F., Veiga, C., Modat, M., McClelland, J., Knopf, A., Punwani, S., Atkinson, D., & Arridge, S. (2015). Robust CT synthesis for radiotherapy planning: application to the head and neck region. Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part II 18.
Da Mota, P., Yiannakas, M., Prados, F., Cardoso, M., Paling, D., Riemer, F., Tozer, D., Ourselin, S., Miller, D., & Golay, X. (2015). Relationship of Sodium concentration and T2 relaxation in Multiple Sclerosis. Proc. Intl. Soc. Mag. Reson. Med.
Maneas, E., Sato dos Santos, G., Deprest, J., Wimalasundera, R., David, A., Vercauteren, T., & Ourselin, S. (2015). Adaptive Filtering of Fibre-optic Fetoscopic Images for Fetal Surgery. .
Veiga, C., Lourenço, A., Mouinuddin, S., Van Herk, M., Modat, M., Ourselin, S., Royle, G., & McClelland, J. (2015). Toward adaptive radiotherapy for head and neck patients: uncertainties in dose warping due to the choice of deformable registration algorithm. Medical Physics.
Nowell, M., Rodionov, R., Zombori, G., Sparks, R., Winston, G., Kinghorn, J., Diehl, B., Wehner, T., Miserocchi, A., & McEvoy, A. (2015). Utility of 3D multimodality imaging in the implantation of intracranial electrodes in epilepsy. Epilepsia.
Mendelson, A., Zuluaga, M., Hutton, B., & Ourselin, S. (2015). Bolstering heuristics for statistical validation of prediction algorithms. 2015 International Workshop on Pattern Recognition in NeuroImaging.
Bousse, A., Bertolli, O., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B., & Thielemans, K. (2015). Direct joint motion estimation/image reconstruction in attenuation-corrected gated PET/CT using a single CT. .
Pratt, R., Deprest, J., Vercauteren, T., Ourselin, S., & David, A. (2015). Computer‐assisted surgical planning and intraoperative guidance in fetal surgery: a systematic review. Prenatal diagnosis.
Markiewicz, P., Thielemans, K., Atkinson, D., Arridge, S., Hutton, B., & Ourselin, S. (2015). Rapid workflow of mMR PET list-mode data processing using CUDA. EJNMMI physics.
Petitjean, C., Zuluaga, M., Bai, W., Dacher, J., Grosgeorge, D., Caudron, J., Ruan, S., Ayed, I., Cardoso, M., & Chen, H. (2015). Right ventricle segmentation from cardiac MRI: a collation study. Medical image analysis.
Tobon-Gomez, C., Geers, A., Peters, J., Weese, J., Pinto, K., Karim, R., Ammar, M., Daoudi, A., Margeta, J., & Sandoval, Z. (2015). Benchmark for algorithms segmenting the left atrium from 3D CT and MRI datasets. IEEE transactions on medical imaging.
Thompson, S., Totz, J., Song, Y., Johnsen, S., Stoyanov, D., Ourselin, S., Gurusamy, K., Schneider, C., Davidson, B., & Hawkes, D. (2015). Accuracy validation of an image guided laparoscopy system for liver resection. Medical imaging 2015: image-guided procedures, robotic interventions, and modeling.
Manning, E., Macdonald, K., Leung, K., Young, J., Pepple, T., Lehmann, M., Zuluaga, M., Cardoso, M., Schott, J., & Ourselin, S. (2015). Differential hippocampal shapes in posterior cortical atrophy patients: a comparison with control and typical AD subjects. Human brain mapping.
Hoang Duc, A., Eminowicz, G., Mendes, R., Wong, S., McClelland, J., Modat, M., Cardoso, M., Mendelson, A., Veiga, C., & Kadir, T. (2015). Validation of clinical acceptability of an atlas‐based segmentation algorithm for the delineation of organs at risk in head and neck cancer. Medical physics.
Simpson, I., Cardoso, M., Modat, M., Cash, D., Woolrich, M., Andersson, J., Schnabel, J., & Ourselin, S. (2015). Probabilistic non-linear registration with spatially adaptive regularisation. Medical image analysis.
Weiskopf, N., Daga, P., Yousry, T., Mancini, L., Magerkurth, J., Thornton, J., Flandin, G., De Vita, E., Micallef, C., & Yamamoto, A. (2015). Objective Bayesian fMRI analysis-a pilot study in different clinical environments.. Frontiers in Cellular Neuroscience.
Bocchetta, M., Cardoso, M., Cash, D., Rossor, M., Frisoni, G., Ourselin, S., & Rohrer, J. (2015). P2‐127: Volumetry of the cerebellum and its subregions in genetic frontotemporal dementia. Alzheimer's & Dementia.
Klemt, C., Modat, M., Pichat, J., Cardoso, M., Henckel, J., Hart, A., & Ourselin, S. (2015). Automatic assessment of volume asymmetries applied to hip abductor muscles in patients with hip arthroplasty. Medical Imaging 2015: Image Processing.
Magerkurth, J., Mancini, L., Penny, W., Flandin, G., Ashburner, J., Micallef, C., De Vita, E., Daga, P., White, M., & Buckley, C. (2015). Objective Bayesian fMRI analysis—a pilot study in different clinical environments. Frontiers in Neuroscience.
Devreker, A., Rosa, B., Qian, J., Vercauteren, T., Ourselin, S., Vander Poorten, E., & Reynaerts, D. (2015). Design and validation of pneumatically actuated fetoscope. Proceedings of the 5th Joint Workshop on New Technologies for Computer/Robot Assisted Surgery.
Xia, W., Mari, J., West, S., Ginsberg, Y., David, A., Ourselin, S., & Desjardins, A. (2015). In‐plane ultrasonic needle tracking using a fiber‐optic hydrophone. Medical physics.
Dos Santos, G., Maneas, E., Nikitichev, D., Barburas, A., David, A., Deprest, J., Desjardins, A., Vercauteren, T., & Ourselin, S. (2015). A registration approach to endoscopic laser speckle contrast imaging for intrauterine visualisation of placental vessels. Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I 18.
Ourselin, S., Alexander, D., Westin, C., & Cardoso, M. (2015). Information Processing in Medical Imaging: 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28-July 3, 2015, Proceedings. .
Schneider, C., Thompson, S., Totz, J., Song, Y., Johnsen, S., Stoyanov, D., Ourselin, S., Gurusamy, K., Hawkes, D., & Clarkson, M. (2015). PTH-103 Evaluation of a novel system for image guided laparoscopic liver surgery in an animal model and first clinical experience. .
Orasanu, E., Melbourne, A., Modat, M., Lorenzi, M., Lombaert, H., Eaton-Rosen, Z., Robertson, N., Kendall, G., Marlow, N., & Ourselin, S. (2015). Mapping longitudinal white matter changes in extremely preterm born infants. Imaging (SAMI).
Gourgou-Bourgade, S., Cameron, D., Poortmans, P., Asselain, B., Azria, D., Cardoso, F., A'hern, R., Bliss, J., Bogaerts, J., & Bonnefoi, H. (2015). Guidelines for time-to-event end point definitions in breast cancer trials: results of the DATECAN initiative (Definition for the Assessment of Time-to-event Endpoints in CANcer trials). Annals of Oncology.
Burgos, N., Jorge Cardoso, M., Mendelson, A., Schott, J., Atkinson, D., Arridge, S., Hutton, B., & Ourselin, S. (2015). Subject-specific models for the analysis of pathological FDG PET data. Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part II 18.
Young, A., Oxtoby, N., Ourselin, S., Schott, J., & Alexander, D. (2015). A simulation system for biomarker evolution in neurodegenerative disease. Medical image analysis.
Cash, D., Frost, C., Iheme, L., Ünay, D., Kandemir, M., Fripp, J., Salvado, O., Bourgeat, P., Reuter, M., & Fischl, B. (2015). Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. Neuroimage.
Bocchetta, M., Gordon, E., Manning, E., Cash, D., Espak, M., Modat, M., Ourselin, S., Rossor, M., Frisoni, G., & Rohrer, J. (2015). IC‐P‐049: Detailed structural analysis of the hypothalamus in behavioral variant frontotemporal dementia. Alzheimer's & Dementia.
Young, J., Mendelson, A., Cardoso, M., Modat, M., Ashburner, J., & Ourselin, S. (2015). Improving mri brain image classification with anatomical regional kernels. Machine Learning Meets Medical Imaging: First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers 1.
Ma, D., Cardoso, M., Zuluaga, M., Modat, M., Powell, N., Wiseman, F., Tybulewicz, V., Fisher, E., Lythgoe, M., & Ourselin, S. (2015). Grey matter sublayer thickness estimation in the mouse cerebellum. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18.
Xia, W., Nikitichev, D., Mari, J., West, S., Pratt, R., David, A., Ourselin, S., Beard, P., & Desjardins, A. (2015). Performance characteristics of an interventional multispectral photoacoustic imaging system for guiding minimally invasive procedures. Journal of biomedical optics.
Cash, D., Dick, K., Fellows, A., Espak, M., van Swieten, J., Galimberti, D., Borroni, B., Masellis, M., Tagliavini, F., & Graff, C. (2015). IC‐P‐054: Grey matter differences in genetic frontotemporal dementia: Results from the genfi study. Alzheimer's & Dementia.
De Vita, E., Porter, M., Simpson, I., Fox, Z., Ridgway, G., Ourselin, S., Rudge, P., Caine, D., Jager, R., & Yousry, T. (2015). Cross Sectional and Longitudinal Magnetisation transfer Ratio in Prion disease at 3 Tesla. Proc. Intl. Soc. Mag. Reson. Med.
Veiga, C., Alshaikhi, J., Amos, R., Lourenço, A., Modat, M., Ourselin, S., Royle, G., & McClelland, J. (2015). Cone-beam computed tomography and deformable registration-based “dose of the day” calculations for adaptive proton therapy. International Journal of Particle Therapy.
Eaton-Rosen, Z., Melbourne, A., Orasanu, E., Cardoso, M., Modat, M., Bainbridge, A., Kendall, G., Robertson, N., Marlow, N., & Ourselin, S. (2015). Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI. NeuroImage.
Xia, W., Maneas, E., Nikitichev, D., Mosse, C., Dos Santos, G., Vercauteren, T., David, A., Deprest, J., Ourselin, S., & Beard, P. (2015). Interventional photoacoustic imaging of the human placenta with ultrasonic tracking for minimally invasive fetal surgeries. Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I 18.
Allan, M., Chang, P., Ourselin, S., Hawkes, D., Sridhar, A., Kelly, J., & Stoyanov, D. (2015). Image based surgical instrument pose estimation with multi-class labelling and optical flow. Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I 18.
Ismail, O., Harrison, I., Holmes, H., Colgan, N., Wells, J., O'Callaghan, J., Powell, N., Ma, D., Ourselin, S., & Walker-Samuel, S. (2015). P1‐029: Imaging the efficacy of microtubule stabilizing agent epothilone d in the rtg4510 mouse model of tauopathy. Alzheimer's & Dementia.
Clarkson, M., Zombori, G., Thompson, S., Totz, J., Song, Y., Espak, M., Johnsen, S., Hawkes, D., & Ourselin, S. (2015). The NifTK software platform for image-guided interventions: platform overview and NiftyLink messaging. International journal of computer assisted radiology and surgery.
Prados, F., Cardoso, M., Cawley, N., Ciccarelli, O., Wheeler-Kingshott, C., & Ourselin, S. (2015). Multi-contrast patchmatch algorithm for multiple sclerosis lesion detection. ISBI-Longitudinal MS Lesion Segmentation Challenge.
Gruijthuijsen, C., Rosa, B., Snyers, H., Engels, A., Vercauteren, T., Deprest, J., Ourselin, S., Reynaerts, D., & Vander Poorten, E. (2015). Prototyping novel instruments for fetal surgery through virtual reality simulation and 3d printing. Proceedings of the 5th Joint Workshop on New Technologies for Computer/Robot Assisted Surgery.
Burgos, N., Cardoso, M., Modat, M., Punwani, S., Atkinson, D., Arridge, S., Hutton, B., & Ourselin, S. (2015). CT synthesis in the head & neck region for PET/MR attenuation correction: an iterative multi-atlas approach. EJNMMI physics.
Vos, S., Melbourne, A., Zhang, H., Duncan, J., & Ourselin, S. (2015). The effect of white matter perfusion on diffusion MRI based microstructural tissue models. ISMRM Abstract.
Johnsen, S., Thompson, S., Clarkson, M., Modat, M., Song, Y., Totz, J., Gurusamy, K., Davidson, B., Taylor, Z., & Hawkes, D. (2015). Database-based estimation of liver deformation under pneumoperitoneum for surgical image-guidance and simulation. Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part II 18.
Weston, P., Simpson, I., Ryan, N., Ourselin, S., & Fox, N. (2015). Diffusion imaging changes in grey matter in Alzheimer’s disease: a potential marker of early neurodegeneration. Alzheimer's research & therapy.
Wang, L., Yushkevich, P., & Ourselin, S. (2015). Novel Imaging Biomarkers for Alzheimer's Disease and Related Disorders (NIBAD). NEUROBIOLOGY OF AGING.
Lorenzi, M., Simpson, I., Mendelson, A., Cardoso, J., Modat, M., & Ourselin, S. (2015). P3‐004: Voxel‐based statistical multimodal model of brain atrophy and hypometabolism in Alzheimer's disease. Alzheimer's & Dementia.
Ismail, O., Holmes, H., Colgan, N., Ma, D., Wells, J., Powell, N., O'Callaghan, J., Harrison, I., Walker-Samuel, S., & Cardoso, J. (2015). IC‐P‐158: A multiscale MRI approach to investigate novel drug treatment strategies in mouse models of Alzheimer's disease. Alzheimer's & Dementia.
Downey, L., Mahoney, C., Buckley, A., Golden, H., Henley, S., Schmitz, N., Schott, J., Simpson, I., Ourselin, S., & Fox, N. (2015). White matter tract signatures of impaired social cognition in frontotemporal lobar degeneration. NeuroImage: Clinical.
Prados, F., Cardoso, M., Leung, K., Cash, D., Modat, M., Fox, N., Wheeler-Kingshott, C., & Ourselin, S. (2015). Measuring brain atrophy with a generalized formulation of the boundary shift integral. Neurobiology of aging.
Solanky, B., Da Mota, P., Prados, F., Schneider, T., Riemer, F., Brownlee, W., Grussu, F., Cardoso, M., Ourselin, S., & Zhang, H. (2015). Combined Sodium NODDI: Towards quantitative in vivo intracellular and intraneurite sodium measures at 3T. Proc. Intl. Soc. Mag. Reson. Med.
Devreker, A., Rosa, B., Desjardins, A., Alles, E., Garcia-Peraza, L., Maneas, E., Stoyanov, D., David, A., Vercauteren, T., & Deprest, J. (2015). Fluidic actuation for intra-operative in situ imaging. 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).