Research Staff


University College London
Centre for Medical Image Computing
Translational Imaging Group
Dept. Medical Physics and Biomedical Engineering
8.04 Malet Place Engineering Building
Gower Street

United Kingdom
"This email address is being protected from spambots. You need JavaScript enabled to view it.
Download information as: vCard

Miscellaneous Information



 Research interest
 Medical Image Analysis – Brain segmentation – MRI - Neurodegenerative diseases - White matter lesions
 Previous education
 After a major in Applied Mathematics at Ecole Polytechnique, France (2008-2013), I studied for a Master in Biomedical Engineering at ETH Zurich, Switzerland (2011-2013). I visited first TIG for a short internship in 2011 and decided to come back formy Master project and my PhD in 2012, mostly attracted by the opportunities of a pluridisciplinar work and the strong translational motivation of the group.
Current research
My thesis is about the study of white matter lesions in neurodegenerative diseases. I am currently trying to find a way of modeling correctly the data while avoiding the effect due to the presence of pathologies. Using information coming from different MRI acquisition sequences, one direct application is to be able to segment automatically the pathological regions in brain images. 

C. H. Sudre, M. J. Cardoso, and S. Ourselin, “Bilayered anatomically constrained split-and-merge expectation maximisation algorithm (BiASM) for brain segmentation,” in SPIE Medical Imaging (S. Ourselin and M. A. Styner, eds.), vol. 9034, pp. 903411–903411–7, International Society for Optics and Photonics, International Society for Optics and Photonics, 2014.
C. H. Sudre, M. J. Cardoso, W. Bouvy, G. J. Biessels, J. Barnes, and S. Ourselin, “Bayesian Model Selection for Pathological Data,” in MICCAI 2014 (P. G. Et al., ed.), LNCS 8673, pp. 323–330, Springer International, 2014.
C. Sudre, M. J. Cardoso, W. Bouvy, G. Biessels, J. Barnes, and S. Ourselin, “Bayesian model selection for pathological neuroimaging data applied to white matter lesion segmentation.,” IEEE Transactions on Medical Imaging, vol. 34, pp. 2079–2102, apr 2015.
M. J. Cardoso, C. H. Sudre, M. Modat, and S. Ourselin, “Template-based multimodal joint generative model of brain data,” in International Conference on Information Processing in Medical Imaging, pp. 17–29, Springer, 2015.
C. Sudre, M. J. Cardoso, and S. Ourselin, “Longitudinal segmentation of agerelated white matter hyperintensities,” in The 2nd International Workshop on Bayesian and Graphical Models for Biomedical Imaging (BAMBI), 2015.
 Matteo Pardini, Carole H Sudre, Ferran Prados, Özgür Yaldizli, Varun Sethi, Nils Muhlert, Rebecca S Samson, Steven H van de Pavert, M Jorge Cardoso, Sebastien Ourselin, Claudia A M Gandini Wheeler-Kingshott, David H Miller, Declan T Chard. Relationship of grey and white matter abnormalities with distance from the surface of the brain in multiple sclerosis J Neurol Neurosurg Psychiatry (2016).
M. ten Kate, C. H. Sudre, A. den Braber, E. Konijnenberg, M. J. Cardoso, P. Scheltens, P. J. Boomsma, Dorret I.and Visser, S. Ourselin, and F. Barkhof, “Correlation of white matter hyperintensities in cognitively healthy elderly monozygotic twin pairs.” in VasCog conference 2016.
Cassidy M. Fiford, Emily N. Manning, Jonathan W. Bartlett, David M. Cash, Ian B. Malone, Gerard R. Ridgway, Manja Lehmann, Kelvin K. Leung, Carole Sudre, Sebastien Ourselin, Geert Jan Biessels, Owen T. Carmichael, Nick C. Fox, M. Jorge Cardoso, Josephine Barnes and for the Alzheimer's Disease Neuroimaging Initiative White matter hyperintensities are associated with disproportionate progressive hippocampal atrophy, Hippocampus (2016)