H. Amieva, L. Goff, M. Millet, X. Orgogozo, J. M. Peres et al., Prodromal Alzheimer's disease: successive emergence of the clinical symptoms, Annals of Neurology, vol.64, pp.492-498, 2008.

L. G. Apostolova, I. D. Dinov, R. A. Dutton, K. M. Hayashi, A. W. Toga et al., 3D comparison of hippocampal atrophy in amnestic mild cognitive impairment and Alzheimer's disease, pp.2867-2873, 2006.

J. Ashburner and K. J. Friston, Voxel-based morphometry--the methods, Neuroimage, vol.11, pp.805-821, 2000.

C. Ballard, Z. Khan, H. Clack, and A. Corbett, Nonpharmacological treatment of Alzheimer disease, Canadian journal of psychiatry. Revue canadienne de psychiatrie, vol.56, pp.589-595, 2011.

H. Braak and E. Braak, Neuropathological stageing of Alzheimer-related changes, Acta neuropathologica, vol.82, pp.239-259, 1991.

G. C. Cawley and N. L. Talbot, Fast exact leave-one-out cross-validation of sparse least-squares support vector machines, Neural networks : the official journal of the International Neural Network Society 17, pp.1467-1475, 2004.

G. Chetelat, V. L. Villemagne, P. Bourgeat, K. E. Pike, G. Jones et al., Relationship between atrophy and beta-amyloid deposition in Alzheimer disease, Annals of Neurology, vol.67, pp.317-324, 2010.

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, pp.2217-2230, 2012.

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

D. L. Collins and A. C. Evans, Animal: Validation and Applications of Nonlinear Registration-Based Segmentation, International Journal of Pattern Recognition and Artificial Intelligence, vol.11, issue.08, pp.1271-1294, 1997.
DOI : 10.1142/S0218001497000597

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

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. Manjon, V. S. Fonov, S. F. Eskildsen, and D. L. Collins, ADNI, 2012b. Patch-Based Morphometry: Application to Alzheimer's Disease, Alzheimer's Association International Conference

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

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

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

L. W. De-jong, K. Van-der-hiele, I. M. Veer, J. J. Houwing, R. G. Westendorp et al., Strongly reduced volumes of putamen and thalamus in Alzheimer's disease: an MRI study, Brain, vol.131, issue.12, pp.3277-3285, 2008.
DOI : 10.1093/brain/awn278

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

M. F. Elias, A. Beiser, P. A. Wolf, R. Au, R. F. White et al., The Preclinical Phase of Alzheimer Disease, Archives of Neurology, vol.57, issue.6, pp.808-813, 2000.
DOI : 10.1001/archneur.57.6.808

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

S. F. Eskildsen, P. Coupe, V. Fonov, J. Pruessner, and D. L. Collins, Adni, in revision. Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning, Neuroimage

Y. Fan, D. Shen, R. C. Gur, R. E. Gur, and C. Davatzikos, COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements, IEEE Transactions on Medical Imaging, vol.26, issue.1, pp.93-105, 2007.
DOI : 10.1109/TMI.2006.886812

V. Fonov, A. C. Evans, K. Botteron, C. R. Almli, R. C. Mckinstry et al., Unbiased average age-appropriate atlases for pediatric studies, NeuroImage, vol.54, issue.1, pp.313-327, 2011.
DOI : 10.1016/j.neuroimage.2010.07.033

V. S. Fonov, P. Coupé, M. Styner, and D. L. Collins, Automatic lateral ventricle segmentation in infant population with high risk of autism, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00683773

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

G. B. Frisoni, R. Ganzola, E. Canu, U. Rub, F. B. Pizzini et al., Mapping local hippocampal changes in Alzheimer's disease and normal ageing with MRI at 3 Tesla, Brain, vol.131, issue.12, 2008.
DOI : 10.1093/brain/awn280

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.1476-1486, 2009.
DOI : 10.1016/j.neuroimage.2009.05.036

B. J. Hanseeuw, K. Van-leemput, M. Kavec, C. Grandin, X. Seron et al., Mild Cognitive Impairment: Differential Atrophy in the Hippocampal Subfields, American Journal of Neuroradiology, vol.32, issue.9, pp.1658-1661, 2011.
DOI : 10.3174/ajnr.A2589

S. Hu, P. Coupé, J. Pruessner, and D. L. Collins, Validation of appearance-model based segmentation with patchbased refinement on medial temporal lobe structures. MICCAI Workshop on Multi-Atlas Labeling and Statistical Fusion, pp.28-37, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00614308

K. Kantarci, C. Yang, J. A. Schneider, M. L. Senjem, D. A. Reyes et al., Ante mortem amyloid imaging and ??-amyloid pathology in a case with dementia with Lewy bodies, Neurobiology of Aging, vol.33, issue.5, pp.878-885, 2012.
DOI : 10.1016/j.neurobiolaging.2010.08.007

S. Kloppel, C. M. Stonnington, C. Chu, B. Draganski, R. I. Scahill et al., Automatic classification of MR scans in Alzheimer's disease, Brain, vol.131, issue.3, pp.681-689, 2008.
DOI : 10.1093/brain/awm319

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

N. Kriegeskorte, W. K. Simmons, P. S. Bellgowan, and C. I. Baker, Circular analysis in systems neuroscience: the dangers of double dipping, Nature Neuroscience, vol.12, issue.5, pp.535-540, 2009.
DOI : 10.1016/j.neuroimage.2004.07.022

G. Lace, G. M. Savva, G. Forster, R. De-silva, C. Brayne et al., Hippocampal tau pathology is related to neuroanatomical connections: an ageing population-based study, Brain, vol.132, issue.5, pp.1324-1334, 2009.
DOI : 10.1093/brain/awp059

J. P. Lerch and A. C. Evans, Cortical thickness analysis examined through power analysis and a population simulation, NeuroImage, vol.24, issue.1, pp.163-173, 2005.
DOI : 10.1016/j.neuroimage.2004.07.045

M. Liu, D. Zhang, and D. Shen, Ensemble sparse classification of Alzheimer's disease, NeuroImage, vol.60, issue.2, pp.1106-1116, 2012.
DOI : 10.1016/j.neuroimage.2012.01.055

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

J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman, Non-local sparse models for image restoration, 2009 IEEE 12th International Conference on Computer Vision, pp.2272-2279, 2009.
DOI : 10.1109/ICCV.2009.5459452

J. V. Manjon, P. Coupe, A. Buades, L. Collins, D. Robles et al., New methods for MRI denoising based on sparseness and self-similarity. Medical image analysis 16, pp.18-27, 2012.
URL : https://hal.archives-ouvertes.fr/inserm-00601866

Q. Mcnemar, Note on the sampling error of the difference between correlated proportions or percentages, Psychometrika, vol.12, issue.2, pp.153-157, 1947.
DOI : 10.1007/BF02295996

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

S. G. Mueller, N. Schuff, K. Yaffe, C. Madison, B. Miller et al., Hippocampal atrophy patterns in mild cognitive impairment and Alzheimer's disease, Human Brain Mapping, vol.11, issue.9, pp.1339-1347, 2010.
DOI : 10.1002/hbm.20934

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

P. Xavier-de-fontes, F. Andrade-barroso, G. Coupé, P. Hellier, and P. , Real time ultrasound image denoising, Journal of Real-Time Image Processing, 2010.
DOI : 10.1007/s11554-010-0158-5
URL : https://hal.archives-ouvertes.fr/inria-00476122

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

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

M. R. Sabuncu, B. T. Yeo, K. Van-leemput, B. Fischl, and P. Golland, A Generative Model for Image Segmentation Based on Label Fusion, IEEE Transactions on Medical Imaging, vol.29, issue.10, pp.1714-1729, 2010.
DOI : 10.1109/TMI.2010.2050897

B. Schonheit, R. Zarski, and T. G. Ohm, Spatial and temporal relationships between plaques and tangles in Alzheimer-pathology, Neurobiology of Aging, vol.25, issue.6, pp.697-711, 2004.
DOI : 10.1016/j.neurobiolaging.2003.09.009

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

P. Vemuri, J. L. Gunter, M. L. Senjem, J. L. Whitwell, K. Kantarci et al., Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies, NeuroImage, vol.39, issue.3, pp.1186-1197, 2008.
DOI : 10.1016/j.neuroimage.2007.09.073

V. L. Villemagne, K. E. Pike, G. Chetelat, K. A. Ellis, R. S. Mulligan et al., Longitudinal assessment of A?? and cognition in aging and Alzheimer disease, Longitudinal assessment of Abeta and cognition in aging and Alzheimer disease, pp.181-192, 2011.
DOI : 10.1002/ana.22248

H. Wang, S. R. Das, J. W. Suh, M. Altinay, J. Pluta et al., A learning-based wrapper method to correct systematic errors in automatic image segmentation: Consistently improved performance in hippocampus, cortex and brain segmentation, NeuroImage, vol.55, issue.3, pp.968-985, 2011.
DOI : 10.1016/j.neuroimage.2011.01.006

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

R. Wolz, P. Aljabar, J. V. Hajnal, J. Lotjonen, and D. Rueckert, Manifold learning combining imaging with nonimaging information. Biomedical Imaging: From Nano to Macro, IEEE International Symposium on, pp.1637-1640, 2011.

R. Wolz, V. Julkunen, J. Koikkalainen, E. Niskanen, D. P. Zhang et al., Multimethod analysis of MRI images in early diagnostics of Alzheimer's disease, PLoS One, vol.6, 2011.