Carole Sudre
Medical imaging has driven the path of my studies in applied mathematics (Ecole Polytechnique) and biomedical engineering (ETH Zurich). After my PhD at UCL focusing on white matter hyperintensities segmentation and characterisation, I have decided to extend my research focusing on age-related vascular lesions and to look at relationships with risk factors and cognitive associations which is the current focus of my Alzheimer’s Society Fellowship. I am particularly interested in the causality link between vascular damage and brain functioning linked through brain imaging and the location and characterisation of such lesions.
Projects
Neurology - DementiaCOVID-19
Image Segmentation
Object Detection
Disease Modelling
Publications
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.
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.
Rapid implementation of mobile technology for real-time epidemiology of COVID-19
Drew, D.A., Nguyen, L.H., Steves, C.J., Menni, C., Freydin, M., Varsavsky, T., Sudre, C.H., Cardoso, M.J., Ourselin, S., Wolf, J. and Spector, T.D., 2020. Science.