, R grant from the Ministerio de Economia, Industria y Competitividad of Spain

, References 1. Avants et al. A reproducible evaluation of ANTs similarity metric performance in brain image registration, NeuroImage, vol.54, issue.3, pp.2033-2044, 2011.

. Coupé, Scoring by nonlocal image patch estimator for early detection of Alzheimer's disease, NeuroImage: Clinical, vol.1, issue.1, pp.141-152, 2012.
DOI : 10.1016/j.nicl.2012.10.002

. Coupé, Collaborative patch-based super-resolution for diffusion-weighted images, NeuroImage, vol.83, pp.245-261, 2013.
DOI : 10.1016/j.neuroimage.2013.06.030

G. , An optimized patchmatch for multi-scale and multi-feature label fusion, NeuroImage, vol.124, pp.770-782, 2016.

. Hett, Adaptive Fusion of Texture-Based Grading: Application to Alzheimer???s Disease Detection, International Workshop on Patch-based Techniques in Medical Imaging, pp.82-89, 2017.
DOI : 10.1016/j.media.2017.01.008

. Kerchner, Hippocampal CA1 apical neuropil atrophy and memory performance in Alzheimer's disease, NeuroImage, vol.63, issue.1, pp.194-202, 2012.
DOI : 10.1016/j.neuroimage.2012.06.048

. Liu, Slep: Sparse learning with efficient projections, p.7, 2009.

. Manjón, 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 : 10.1109/42.712135

. Moradi, Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects, NeuroImage, vol.104, pp.398-412, 2015.
DOI : 10.1016/j.neuroimage.2014.10.002

. Romero, HIPS: A new hippocampus subfield segmentation method, NeuroImage, vol.163, pp.286-295, 2017.
DOI : 10.1016/j.neuroimage.2017.09.049
URL : https://hal.archives-ouvertes.fr/hal-01643644

. Sørensen, Differential diagnosis of mild cognitive impairment and Alzheimer's disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry, NeuroImage: Clinical, vol.13, pp.470-482, 2017.
DOI : 10.1016/j.nicl.2016.11.025

. Suk, Deep ensemble learning of sparse regression models for brain disease diagnosis, Medical Image Analysis, vol.37, pp.101-113, 2017.
DOI : 10.1016/j.media.2017.01.008

. Tong, Multiple instance learning for classification of dementia in brain MRI, Medical Image Analysis, vol.18, issue.5, pp.808-818, 2014.
DOI : 10.1016/j.media.2014.04.006

. Tong, A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease, IEEE Transactions on Biomedical Engineering, vol.64, issue.1, pp.155-165, 2017.
DOI : 10.1109/TBME.2016.2549363

. Trujillo-estrada, Early Neuronal Loss and Axonal/Presynaptic Damage is Associated with Accelerated Amyloid-?? Accumulation in A??PP/PS1 Alzheimer's Disease Mice Subiculum, Journal of Alzheimer's Disease, vol.42, issue.2, pp.521-541, 2014.
DOI : 10.3233/JAD-140495

. Tustison, N4ITK: Improved N3 Bias Correction, IEEE Transactions on Medical Imaging, vol.29, issue.6, pp.1310-1320, 2010.
DOI : 10.1109/TMI.2010.2046908

. Winterburn, A novel in vivo atlas of human hippocampal subfields using high-resolution 3T magnetic resonance imaging, NeuroImage, vol.74, pp.254-265, 2013.
DOI : 10.1016/j.neuroimage.2013.02.003

. Wolz, 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