F. Barkhof and M. Van-walderveen, Characterization of tissue damage in multiple sclerosis by nuclear magnetic resonance, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.354, issue.1390, pp.1675-1686, 1390.
DOI : 10.1098/rstb.1999.0511

A. Dempster, N. Laird, and D. Rubin, Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society, vol.39, issue.1, pp.1-38, 1977.

P. Schroeter, J. M. Vesin, T. Langenberger, and R. Meuli, Robust parameter estimation of intensity distributions for brain magnetic resonance images, IEEE Transactions on Medical Imaging, vol.17, issue.2, pp.172-186, 1998.
DOI : 10.1109/42.700730

K. Van-leemput, F. Maes, D. Vandermeulen, A. Colchester, and P. Suetens, Automated segmentation of multiple sclerosis lesions by model outlier detection, IEEE Transactions on Medical Imaging, vol.20, issue.8, pp.677-688, 2001.
DOI : 10.1109/42.938237

G. Dugas-phocion, M. A. González, C. Lebrun, S. Chanalet, C. Bensa et al., Hierarchical segmentation of multiple sclerosis lesions in multi-sequence MRI, 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (IEEE Cat No. 04EX821), 2004.
DOI : 10.1109/ISBI.2004.1398498
URL : https://hal.archives-ouvertes.fr/inria-00615969

D. Welti, G. Gerig, E. Radü, L. Kappos, and G. Székely, Spatio-temporal segmentation of active multiple sclerosis lesions in serial MRI data, 17th International Conference on Information Processing in Medical Imaging, IPMI'2001, pp.438-445, 2001.

M. Bosc, F. Heitz, J. P. Armspach, I. Namer, D. Gounot et al., Automatic change detection in multimodal serial MRI: application to multiple sclerosis lesion evolution, NeuroImage, vol.20, issue.2, pp.643-656, 2003.
DOI : 10.1016/S1053-8119(03)00406-3

S. Prima, D. L. Arnold, and D. L. Collins, Multivariate Statistics for Detection of MS Activity in Serial Multimodal MR Images, 6th International Conference on Medical Image Computing and Computer-Assisted Intervention , MICCAI'2003, pp.663-670, 2003.
DOI : 10.1007/978-3-540-39899-8_81
URL : https://hal.archives-ouvertes.fr/inserm-00633804

D. Rey, G. Subsol, H. Delingette, and N. Ayache, Automatic detection and segmentation of evolving processes in 3D medical images: Application to multiple sclerosis, Medical Image Analysis, vol.6, issue.2, pp.163-179, 2002.
DOI : 10.1016/S1361-8415(02)00056-7
URL : https://hal.archives-ouvertes.fr/inria-00073125

A. Shahar and H. Greenspan, A probabilistic framework for the detection and tracking in time of multiple sclerosis lesions, 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (IEEE Cat No. 04EX821), pp.440-443, 2004.
DOI : 10.1109/ISBI.2004.1398569

C. Baillard, P. Hellier, and C. Barillot, Segmentation of brain 3D MR images using level sets and dense registration, Medical Image Analysis, vol.5, issue.3, pp.185-194, 2001.
DOI : 10.1016/S1361-8415(01)00039-1
URL : https://hal.archives-ouvertes.fr/inria-00536389

S. Prima, N. Ayache, T. Barrick, and N. Roberts, Maximum Likelihood Estimation of the Bias Field in MR Brain Images: Investigating Different Modelings of the Imaging Process, 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI'2001, pp.811-819, 2001.
DOI : 10.1007/3-540-45468-3_97
URL : https://hal.archives-ouvertes.fr/inria-00615873

F. Maes, A. Collignon, D. Vandermeulen, G. Marchal, and P. Suetens, Multimodality image registration by maximization of mutual information, IEEE Transactions on Medical Imaging, vol.16, issue.2, pp.187-198, 1997.
DOI : 10.1109/42.563664

J. Sijbers, A. J. Den-dekker, P. Scheunders, and D. Van-dyck, Maximum-likelihood estimation of Rician distribution parameters, IEEE Transactions on Medical Imaging, vol.17, issue.3, pp.357-361, 1998.
DOI : 10.1109/42.712125
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.5204

N. Neykov, P. Fizmoser, R. Dimova, and P. Neytchev, Mixture of GLMs and the trimmed likelihood methodology, Compstat'04, pp.1585-1592, 2004.

C. A. Cocosco, V. Kollokian, R. K. Kwan, and A. C. Evans, BrainWeb: Online Interface to a 3D MRI Simulated Brain Database, Proceedings of 3-rd International Conference on Functional Mapping of the Human Brain, 1997.

A. P. Zijdenbos, B. M. Dawant, R. A. Margolin, and A. C. Palmer, Morphometric analysis of white matter lesions in MR images: method and validation, IEEE Transactions on Medical Imaging, vol.13, issue.4, pp.716-724, 1994.
DOI : 10.1109/42.363096

C. Lucchinetti, W. Bruck, J. Parisi, B. Scheithauer, M. Rodriguez et al., Heterogeneity of multiple sclerosis lesions: Implications for the pathogenesis of demyelination, Annals of Neurology, vol.143, issue.6, pp.707-717, 2000.
DOI : 10.1002/1531-8249(200006)47:6<707::AID-ANA3>3.0.CO;2-Q