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Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging.

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Segmentation of the amygdalo-hippocampal complex by competitive region growing MRI analysis., , , , and . ISBI, page 261-264. IEEE, (2002)Phase contrast MRI for discriminating brain microbleed in a multicentre clinical study., , , , , , , and . ATSIP, page 265-270. IEEE, (2014)Association of APOE ε4 with cerebral gray matter volumes in non-demented older adults: The MEMENTO cohort study., , , , , , , , , and 4 other author(s). NeuroImage, (2022)Fully Automatic Segmentation of the Hippocampus and the Amygdala from MRI Using Hybrid Prior Knowledge., , , , , , , and . MICCAI (1), volume 4791 of Lecture Notes in Computer Science, page 875-882. Springer, (2007)Analysis of anatomical variability using diffeomorphic iterative centroid in patients with Alzheimer's disease., , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 5 (5): 350-358 (2017)Spatial prior in SVM-based classification of brain images., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7624 of SPIE Proceedings, page 76241L. SPIE, (2010)Competitive segmentation of the hippocampus and the amygdala from MRI data: validation on young healthy controls and Alzheimer's disease patients., , , , , , , , and . Medical Imaging: Image Processing, volume 6144 of SPIE Proceedings, page 61440K. SPIE, (2006)