J. L. Cummings and D. F. Benson, Dementia of the Alzheimer Type, Journal of the American Geriatrics Society, vol.11, issue.suppl, pp.12-19, 1986.
DOI : 10.1111/j.1532-5415.1986.tb06334.x

H. Braak and E. Braak, Neuropathological stageing of Alzheimer-related changes, Acta Neuropathologica, vol.80, issue.4, pp.239-259, 1991.
DOI : 10.1007/BF00308809

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

T. Schmidt-wilcke, S. Poljansky, S. Hierlmeier, J. Hausner, and B. Ibach, Memory performance correlates with gray matter density in the ento-/perirhinal cortex and posterior hippocampus in patients with mild cognitive impairment and healthy controls ??? A voxel based morphometry study, NeuroImage, vol.47, issue.4, 1914.
DOI : 10.1016/j.neuroimage.2009.04.092

F. Remy, F. Mirrashed, B. Campbell, and W. Richter, Verbal episodic memory impairment in Alzheimer's disease: a combined structural and functional MRI study, NeuroImage, vol.25, issue.1, pp.253-266, 2005.
DOI : 10.1016/j.neuroimage.2004.10.045

D. Paola, M. Macaluso, E. Carlesimo, G. A. Tomaiuolo, F. Worsley et al., Episodic memory impairment in patients with Alzheimer???s disease is correlated with entorhinal cortex atrophy, Journal of Neurology, vol.12, issue.6, pp.774-781, 2007.
DOI : 10.1007/s00415-006-0435-1

A. T. Du, N. Schuff, D. Amend, M. P. Laakso, Y. Y. Hsu et al., Magnetic resonance imaging of the entorhinal cortex and hippocampus in mild cognitive impairment and Alzheimer's disease, Journal of Neurology, Neurosurgery & Psychiatry, vol.71, issue.4, pp.441-447, 2001.
DOI : 10.1136/jnnp.71.4.441

R. Wolz, V. Julkunen, J. Koikkalainen, E. Niskanen, D. P. Zhang et al., Multi-Method Analysis of MRI Images in Early Diagnostics of Alzheimer's Disease, PLoS ONE, vol.54, issue.3, p.25446, 2011.
DOI : 10.1371/journal.pone.0025446.s002

P. Coupe, S. F. Eskildsen, J. V. Manjon, V. S. Fonov, and D. L. Collins, Simultaneous segmentation and grading of anatomical structures for patient's classification: Application to Alzheimer's disease, NeuroImage, vol.59, issue.4, pp.3736-3747, 2012.
DOI : 10.1016/j.neuroimage.2011.10.080

P. Coupe, J. V. Manjon, V. Fonov, J. Pruessner, M. Robles et al., Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation, NeuroImage, vol.54, issue.2, pp.940-954, 2011.
DOI : 10.1016/j.neuroimage.2010.09.018
URL : https://hal.archives-ouvertes.fr/inserm-00541534

Y. Cho, J. K. Seong, Y. Jeong, and S. Y. Shin, Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data, NeuroImage, vol.59, issue.3, pp.2217-2230, 2012.
DOI : 10.1016/j.neuroimage.2011.09.085

M. Chupin, E. Gerardin, R. Cuingnet, C. Boutet, L. Lemieux et al., Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI, Hippocampus, vol.54, issue.6, pp.579-587, 2009.
DOI : 10.1002/hipo.20626

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, pp.766-781, 2011.
DOI : 10.1016/j.neuroimage.2010.06.013

C. Davatzikos, P. Bhatt, L. M. Shaw, K. N. Batmanghelich, and J. Q. Trojanowski, Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification, Neurobiology of Aging, vol.32, issue.12, pp.2322-2319, 2011.
DOI : 10.1016/j.neurobiolaging.2010.05.023

J. Koikkalainen, J. Lotjonen, L. Thurfjell, D. Rueckert, G. Waldemar et al., Multi-template tensor-based morphometry: Application to analysis of Alzheimer's disease, NeuroImage, vol.56, issue.3, pp.1134-1144, 2011.
DOI : 10.1016/j.neuroimage.2011.03.029

C. Misra, Y. Fan, and C. Davatzikos, Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI???, NeuroImage, vol.44, issue.4, pp.1415-1422, 2009.
DOI : 10.1016/j.neuroimage.2008.10.031

O. Querbes, F. Aubry, J. Pariente, J. A. Lotterie, J. F. Demonet et al., Early diagnosis of Alzheimer's disease using cortical thickness: impact of cognitive reserve, Brain, vol.132, issue.8, pp.2036-2047, 2009.
DOI : 10.1093/brain/awp105

E. Westman, A. Simmons, J. S. Muehlboeck, P. Mecocci, B. Vellas et al., AddNeuroMed and ADNI: Similar patterns of Alzheimer's atrophy and automated MRI classification accuracy in Europe and North America, NeuroImage, vol.58, issue.3, pp.818-828, 2011.
DOI : 10.1016/j.neuroimage.2011.06.065

P. Coupe, J. V. Manjon, E. Gedamu, D. Arnold, M. Robles et al., Robust Rician noise estimation for MR images, Medical Image Analysis, vol.14, issue.4, pp.483-493, 2010.
DOI : 10.1016/j.media.2010.03.001
URL : https://hal.archives-ouvertes.fr/inserm-00486495

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.425-441, 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, P. Neelin, T. M. Peters, and A. C. Evans, Automatic 3D Intersubject Registration of MR Volumetric Data in Standardized Talairach Space, Journal of Computer Assisted Tomography, vol.18, issue.2, pp.192-205, 1994.
DOI : 10.1097/00004728-199403000-00005

S. F. Eskildsen, P. Coupe, V. Fonov, J. V. Manjon, K. K. Leung et al., BEaST: Brain extraction based on nonlocal segmentation technique, NeuroImage, vol.59, issue.3, pp.2362-2373, 2012.
DOI : 10.1016/j.neuroimage.2011.09.012
URL : https://hal.archives-ouvertes.fr/inserm-00629187

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

J. C. Pruessner, S. Kohler, J. Crane, M. Pruessner, C. Lord et al., Volumetry of Temporopolar, Perirhinal, Entorhinal and Parahippocampal Cortex from High-resolution MR Images: Considering the Variability of the Collateral Sulcus, Cerebral Cortex, vol.12, issue.12, pp.1342-1353, 2002.
DOI : 10.1093/cercor/12.12.1342

S. Hu, P. Coupé, J. Pruessner, and D. L. Collins, Validation of appearance-model based segmentation with patch-based refinement on medial temporal lobe structures, MICCAI Workshop on Multi-Atlas Labeling and Statistical Fusion, pp.28-37
URL : https://hal.archives-ouvertes.fr/hal-00614308

J. Lotjonen, R. Wolz, J. Koikkalainen, V. Julkunen, L. Thurfjell et al., Fast and robust extraction of hippocampus from MR images for diagnostics of Alzheimer's disease, NeuroImage, vol.56, issue.1, pp.185-196, 2011.
DOI : 10.1016/j.neuroimage.2011.01.062