G. B. Frisoni, N. C. Fox, C. R. Jack, P. Scheltens, and P. M. Thompson, The clinical use of structural MRI in Alzheimer disease, Nature Reviews Neurology, vol.15, issue.2, pp.67-77, 2010.
DOI : 10.1038/nrneurol.2009.215

M. Chupin, A. Hammers, R. S. Liu, O. Colliot, J. Burdett et al., Automatic segmentation of the hippocampus and the amygdala driven by hybrid constraints: Method and validation, NeuroImage, vol.46, issue.3, pp.46-749, 2009.
DOI : 10.1016/j.neuroimage.2009.02.013

URL : https://hal.archives-ouvertes.fr/hal-00805390

D. L. Collins and J. C. Pruessner, Towards accurate, automatic segmentation of the hippocampus and amygdala from MRI by augmenting ANIMAL with a template library and label fusion, NeuroImage, vol.52, issue.4, pp.1355-66, 2010.
DOI : 10.1016/j.neuroimage.2010.04.193

J. M. Lotjonen, R. Wolz, J. R. Koikkalainen, L. Thurfjell, G. Waldemar et al., Fast and robust multi-atlas segmentation of brain magnetic resonance images, Neuroimage, issue.3, pp.49-2352, 2010.

P. Coupe, J. V. Manjon, V. Fonov, J. Pruessner, M. Robles et al., Patchbased segmentation using expert priors: application to hippocampus and ventricle segmentation, Neuroimage, issue.2, pp.54-940, 2011.
URL : https://hal.archives-ouvertes.fr/inserm-00541534

R. Cuingnet, E. Gerardin, J. Tessieras, G. Auzias, S. Lehericy et al., Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database, NeuroImage, vol.56, issue.2, 2010.
DOI : 10.1016/j.neuroimage.2010.06.013

E. Gerardin, G. Chetelat, M. Chupin, R. Cuingnet, B. Desgranges et al., Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging, NeuroImage, vol.47, issue.4, pp.47-1476, 2009.
DOI : 10.1016/j.neuroimage.2009.05.036

J. G. Csernansky, L. Wang, J. Swank, J. P. Miller, M. Gado et al., Preclinical detection of Alzheimer's disease: hippocampal shape and volume predict dementia onset in the elderly, NeuroImage, vol.25, issue.3, pp.25-783, 2005.
DOI : 10.1016/j.neuroimage.2004.12.036

P. Coupe, P. Yger, S. Prima, P. Hellier, C. Kervrann et al., An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images, IEEE Transactions on Medical Imaging, vol.27, issue.4, pp.425-466, 2008.
DOI : 10.1109/TMI.2007.906087

URL : https://hal.archives-ouvertes.fr/inserm-00169658

J. G. Sled, A. P. Zijdenbos, and A. C. Evans, A nonparametric method for automatic correction of intensity nonuniformity in MRI data, IEEE Transactions on Medical Imaging, vol.17, issue.1, pp.87-97, 1998.
DOI : 10.1109/42.668698

D. L. Collins, C. J. Holmes, T. M. Peters, and A. C. Evans, Automatic 3-D model-based neuroanatomical segmentation, Human Brain Mapping, vol.16, issue.2, pp.190-208, 1995.
DOI : 10.1002/hbm.460030304

L. G. Nyul and J. K. Udupa, <title>Standardizing the MR image intensity scales: making MR intensities have tissue-specific meaning</title>, Medical Imaging 2000: Image Display and Visualization, pp.496-504, 2000.
DOI : 10.1117/12.383076