M. Filippi, Quantitative brain MRI lesion load predicts the course of clinically isolated syndromes suggestive of multiple sclerosis, Neurology, vol.44, issue.4, pp.635-676, 1994.
DOI : 10.1212/WNL.44.4.635

A. Bitsch, Acute axonal injury in multiple sclerosis: Correlation with demyelination and inflammation, Brain, vol.123, issue.6, pp.1174-83, 2000.
DOI : 10.1093/brain/123.6.1174

V. Dousset, Correlation between Clinical Status and Macrophage Activity Imaging in the Central Nervous System of Rats, Academic Radiology, vol.9, issue.1, pp.156-165, 2002.
DOI : 10.1016/S1076-6332(03)80426-9

M. Vellinga, Pluriformity of inflammation in multiple sclerosis shown by ultra-small iron oxide particle enhancement, Brain, vol.131, issue.3, pp.800-807, 2008.
DOI : 10.1093/brain/awn009

A. Crimi, Multiple sclerosis lesions evolution in patients with CIS, SPIE Medical Imaging, 2013.

B. Bedell and P. Narayana, Automatic segmentation of gadolinium-enhanced multiple sclerosis lesions, Magnetic Resonance in Medicine, vol.13, issue.6, pp.935-975, 1998.
DOI : 10.1002/mrm.1910390611

Z. Karimaghaloo, Automatic detection of Gdenhancing multiple sclerosis lesions in brain MRI using CRF, IEEE TMI, vol.31, pp.1181-94, 2012.

P. Coupe, An optimized blockwise nonlocal means denoising filter for 3D magnetic resonance images, IEEE TMI, vol.27, pp.425-466, 2008.
URL : https://hal.archives-ouvertes.fr/inserm-00169658

J. F. Mangin, Entropy minimization for automatic correction of intensity nonuniformity, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis. MMBIA-2000 (Cat. No.PR00737), pp.162-69, 2000.
DOI : 10.1109/MMBIA.2000.852374

J. P. Bergeest and F. Jaeger, A Comparison of Five Methods for Signal Intensity Standardization in MRI, Bildverarbeitung fuer die Medizin, pp.36-40, 2008.
DOI : 10.1007/978-3-540-78640-5_8

L. Nyul, New variants of a method of MRI scale standardization, IEEE Transactions on Medical Imaging, vol.19, issue.2, pp.143-50, 2000.
DOI : 10.1109/42.836373

P. Hellier, Consistent intensity correction of MRI, Proc. ICIP, pp.1109-1121, 2003.

V. Noblet, Recalage non rigide d'images cerebrales 3D avec contrainte de conservation de la topologie, 2006.

S. Datta, Segmentation of gadolinium-enhanced lesions on MRI in multiple sclerosis, Journal of Magnetic Resonance Imaging, vol.40, issue.5, pp.932-969, 2007.
DOI : 10.1002/jmri.20896

L. Zelnik-manor and P. Perona, Self-tuning spectral clustering, NIPS, 2004.