M. D. Barense, T. J. Bussey, A. C. Lee, T. T. Rogers, R. R. Davies et al., Functional Specialization in the Human Medial Temporal Lobe, Journal of Neuroscience, vol.25, issue.44, pp.10239-10246, 2005.
DOI : 10.1523/JNEUROSCI.2704-05.2005

M. G. Baxter, Involvement of Medial Temporal Lobe Structures in Memory and Perception, Neuron, vol.61, issue.5, pp.667-677, 2009.
DOI : 10.1016/j.neuron.2009.02.007

E. Mori, Y. Yoneda, H. Yamashita, N. Hirono, M. Ikeda et al., Medial temporal structures relate to memory impairment in Alzheimer's disease: an MRI volumetric study, Journal of Neurology, Neurosurgery & Psychiatry, vol.63, issue.2, pp.214-221, 1993.
DOI : 10.1136/jnnp.63.2.214

L. Wang, J. P. Miller, M. H. Gado, D. Mckeel, M. I. Miller et al., Hippocampal shape abnormalities in early AD: A replication study, Alzheimer's & Dementia, vol.1, issue.1, pp.52-53, 2005.
DOI : 10.1016/j.jalz.2005.06.209

E. Duzel, K. Schiltz, T. Solbach, T. Peschel, T. Baldeweg et al., Hippocampal atrophy in temporal lobe epilepsy is correlated with limbic systems atrophy, Journal of Neurology, vol.58, issue.3, pp.294-300, 2005.
DOI : 10.1007/s00415-005-0981-y

M. Chupin, A. R. Mukuna-bantumbakulu, D. Hasboun, E. Bardinet, S. Baillet et al., Anatomically constrained region deformation for the automated segmentation of the hippocampus and the amygdala: Method and validation on controls and patients with Alzheimer???s disease, NeuroImage, vol.34, issue.3, pp.996-1019, 2007.
DOI : 10.1016/j.neuroimage.2006.10.035

J. Klemencic, J. Pluim, M. Viergever, H. Schnack, and V. Valencic, Non-rigid registration based active appearance models for 3D medical image segmentation, Journal of Imaging Science and Technology, vol.48, issue.2, pp.166-171, 2004.

B. Patenaude, S. M. Smith, D. N. Kennedy, and M. Jenkinson, A Bayesian model of shape and appearance for subcortical brain segmentation, NeuroImage, vol.56, issue.3, pp.907-922, 2011.
DOI : 10.1016/j.neuroimage.2011.02.046

B. Fischl, D. H. Salat, E. Busa, M. Albert, M. Dieterich et al., Whole Brain Segmentation, Neuron, vol.33, issue.3, pp.341-355, 2002.
DOI : 10.1016/S0896-6273(02)00569-X

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

R. A. Heckemann, J. V. Hajinal, P. Aljabar, D. Rueckert, and A. Hammers, Automatic anatomical brain MRI segmentation combining label propagation and decision fusion, NeuroImage, vol.33, issue.1, pp.115-126, 2006.
DOI : 10.1016/j.neuroimage.2006.05.061

D. Shattuck, M. Mirza, V. Adisetiyo, C. Hojatkashani, G. Salamon et al., Construction of a 3D probabilistic atlas of human cortical structures, NeuroImage, vol.39, issue.3, pp.1064-1080, 2008.
DOI : 10.1016/j.neuroimage.2007.09.031

P. Aljabar, R. Heckemann, A. Hammers, J. Hajnal, and D. Rueckert, Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy, NeuroImage, vol.46, issue.3, pp.726-738, 2009.
DOI : 10.1016/j.neuroimage.2009.02.018

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.1355-1366, 2010.
DOI : 10.1016/j.neuroimage.2010.04.193

H. Wang, S. 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

P. Coupé, 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

S. Powell, V. A. Magnotta, H. Johnson, V. K. Jammalamadaka, N. C. Andreasen et al., Registration and machine learning-based automated segmentation of subcortical and cerebellar brain structures, NeuroImage, vol.39, issue.1, pp.238-247, 2008.
DOI : 10.1016/j.neuroimage.2007.05.063

V. Lijn, T. Heijer, M. M. Breteler, and W. J. Niessen, Hippocampus segmentation in MR images using atlas registration, voxel classification, and graph cuts, NeuroImage, vol.43, issue.4, pp.708-720, 2008.
DOI : 10.1016/j.neuroimage.2008.07.058

R. A. Morey, C. M. Petty, Y. Xu, J. P. Hayes, H. R. Ii et al., A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes, NeuroImage, vol.45, issue.3, pp.855-866, 2009.
DOI : 10.1016/j.neuroimage.2008.12.033

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, vol.49, issue.3, pp.2352-2365, 2010.
DOI : 10.1016/j.neuroimage.2009.10.026

G. S. Benavides, B. Gomez-ansonc, A. Sainzd, Y. Vivesd, M. Delfinod et al., Manual validation of freesurfers automated hippocampal segmentation in normal aging, mild cognitive impairment, and alzheimer disease subjects, pp.219-225, 2010.

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

C. A. Bishop, M. Jenkinson, J. Andersson, J. Declerck, and D. Merhof, Novel Fast Marching for Automated Segmentation of the Hippocampus (FMASH): Method and validation on clinical data, NeuroImage, vol.55, issue.3, pp.1009-1019, 2011.
DOI : 10.1016/j.neuroimage.2010.12.071

A. R. Khan, N. Cherbuin, W. Wen, K. J. Anstey, and P. Sachdev, Optimal weights for local multi-atlas fusion using supervised learning and dynamic information (SuperDyn): Validation on hippocampus segmentation, NeuroImage, vol.56, issue.1, pp.126-139, 2011.
DOI : 10.1016/j.neuroimage.2011.01.078

S. Hu and D. L. Collins, Joint level-set shape modeling and appearance modeling for brain structure segmentation, NeuroImage, vol.36, issue.3, pp.672-683, 2007.
DOI : 10.1016/j.neuroimage.2006.12.048

V. S. Fonov, A. C. Evans, K. Botteron, C. R. Mckinstry, R. C. Collins 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

J. C. Pruessner, L. M. Li, W. Serles, M. Pressner, D. L. Collins et al., Volumetry of Hippocampus and Amygdala with High-resolution MRI and Three-dimensional Analysis Software: Minimizing the Discrepancies between Laboratories, Cerebral Cortex, vol.10, issue.4, pp.433-442, 2000.
DOI : 10.1093/cercor/10.4.433

J. C. Pruessner, S. Kohler, J. Crane, M. P. Lord, A. Byrne 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

L. Dice, Measures of the Amount of Ecologic Association Between Species, Ecology, vol.26, issue.3, pp.297-302, 1945.
DOI : 10.2307/1932409