The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis, BMJ, vol.341, issue.jul26 1, p.3666, 2010. ,
DOI : 10.1136/bmj.c3666
MR Imaging of Multiple Sclerosis, Radiology, vol.259, issue.3, pp.659-681, 2011. ,
DOI : 10.1148/radiol.11101362
An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis, NeuroImage, vol.59, issue.4, pp.3774-3783, 2012. ,
DOI : 10.1016/j.neuroimage.2011.11.032
Multiple Sclerosis Lesion Segmentation Using Dictionary Learning and Sparse Coding, Med Image Comput Comput Assist Interv, vol.16, pp.735-742, 2013. ,
DOI : 10.1007/978-3-642-40811-3_92
Fully automatic segmentation of white matter hyperintensities in MR images of the elderly, NeuroImage, vol.28, issue.3, pp.607-617, 2005. ,
DOI : 10.1016/j.neuroimage.2005.06.061
FLAIR histogram segmentation for measurement of leukoaraiosis volume, Journal of Magnetic Resonance Imaging, vol.16, issue.6, pp.668-676, 2001. ,
DOI : 10.1002/jmri.10011
Extracting and summarizing white matter hyperintensities using supervised segmentation methods in Alzheimer's disease risk and aging studies, Human Brain Mapping, vol.67, pp.4219-4235, 2014. ,
DOI : 10.1002/hbm.22472
Segmentation of age-related white matter changes in a clinical multi-center study, NeuroImage, vol.41, issue.2, pp.335-345, 2008. ,
DOI : 10.1016/j.neuroimage.2008.02.024
Rotation-invariant multi-contrast non-local means for MS lesion segmentation, NeuroImage: Clinical, vol.8, pp.376-389, 2015. ,
DOI : 10.1016/j.nicl.2015.05.001
URL : https://hal.archives-ouvertes.fr/hal-01178544
Adaptive non-local means denoising of MR images with spatially varying noise levels, Journal of Magnetic Resonance Imaging, vol.17, issue.1, pp.192-203, 2010. ,
DOI : 10.1002/jmri.22003
Advanced Normalization Tools: V1.0, 2009. ,
Unified segmentation, NeuroImage, vol.26, issue.3, pp.839-851, 2005. ,
DOI : 10.1016/j.neuroimage.2005.02.018
The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease, International Psychogeriatrics, vol.46, issue.04, pp.1-16, 2009. ,
DOI : 10.1016/S0006-3223(02)01348-3
3D Segmentation in the Clinic: A Grand Challenge II: MS lesion segmentation, 2008. ,