Sebastien Ourselin
Seb Ourselin is Head of the School of Biomedical Engineering & Imaging Sciences, King’s College London; dedicated to the development, translation and clinical application of medical imaging, computational modelling, minimally invasive interventions and surgery. In collaboration with Guys & St Thomas’ NHS Foundation Trust (GSTT), he is leading the establishment of the MedTech Hub, located at St Thomas’ campus. The vision of the MedTech Hub is to create a unique infrastructure that will develop health technologies including AI, medical devices, workforce and operational improvements that will be of global significance.
Previously, he was based at UCL where he formed and led numerous activities including the UCL Institute of Healthcare Engineering, the EPSRC Centre for Doctoral Training in Medical Imaging and Wellcome EPSRC Centre for Surgical and Interventional Sciences.
He is co-founder of Brainminer, an academic spin-out commercialising machine learning algorithms for brain image analysis. Their clinical decision support system for dementia diagnosis, DIADEM, obtained CE marking.
Over the last 15 years, he has raised over £50M as Principal Investigator and has published over 420 articles (over 20,000 citations, h-index 73). He is/was an associate editor for IEEE Transactions on Medical Imaging, Journal of Medical Imaging, Nature Scientific Reports, and Medical Image Analysis. He has been active in conference organisation (12 international conferences as General or Program Chair) and professional societies (APRS, MICCAI). He was elected Fellow of the MICCAI Society in 2016.
Projects
Cancer - ProstatePublications
Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study
Nguyen, L.H., Drew, D.A., Graham, M.S., Joshi, A.D., Guo, C.G., Ma, W., Mehta, R.S., Warner, E.T., Sikavi, D.R., Lo, C.H. and Kwon, S., 2020. The Lancet Public Health.
Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE
Tudosiu, P.D., Varsavsky, T., Shaw, R., Graham, M., Nachev, P., Ourselin, S., Sudre, C.H. and Cardoso, M.J., 2020. arXiv preprint arXiv:2002.05692.
Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM)
Wood, D.A., Lynch, J., Kafiabadi, S., Guilhem, E., Busaidi, A.A., Montvila, A., Varsavsky, T., Siddiqui, J., Gadapa, N., Townend, M. and Kiik, M., 2020. arXiv preprint arXiv:2002.06588.
A k-Space Model of Movement Artefacts: Application to Segmentation Augmentation and Artefact Removal
Shaw, R., Sudre, C.H., Varsavsky, T., Ourselin, S. and Cardoso, M.J., 2020. IEEE Transactions on Medical Imaging.
Real-time tracking of self-reported symptoms to predict potential COVID-19
Menni, C., Valdes, A.M., Freidin, M.B., Sudre, C.H., Nguyen, L.H., Drew, D.A., Ganesh, S., Varsavsky, T., Cardoso, M.J., Moustafa, J.S.E.S. and Visconti, A., 2020. Nature medicine, pp.1-4.