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Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease.

, , , , , , , , and . NeuroImage, 50 (1): 162-174 (2010)

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Combining DTI and MRI for the Automated Detection of Alzheimer's Disease Using a Large European Multicenter Dataset., , , , , , , , , and 6 other author(s). MBIA, volume 7509 of Lecture Notes in Computer Science, page 18-28. Springer, (2012)Multivariate deformation-based analysis of brain atrophy to predict Alzheimer's disease in mild cognitive impairment., , , , , , and . NeuroImage, 38 (1): 13-24 (2007)Metastable neural dynamics in Alzheimer's disease are disrupted by lesions to the structural connectome., , , , and . NeuroImage, (2018)Randomized parcellation based inference., , , , , , , , , and 10 other author(s). NeuroImage, (2014)Robust regression for large-scale neuroimaging studies., , , , , , , , , and 11 other author(s). NeuroImage, (2015)Neural circuitry underlying sustained attention in healthy adolescents and in ADHD symptomatology., , , , , , , , , and 9 other author(s). NeuroImage, (2018)White matter microstructure underlying default mode network connectivity in the human brain., , , , , , , , and . NeuroImage, 49 (3): 2021-2032 (2010)Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data., , , , and . NeuroImage, 28 (4): 980-995 (2005)Multivariate network analysis of fiber tract integrity in Alzheimer's disease., , , , , , , , and . NeuroImage, 34 (3): 985-995 (2007)Aging-Related Microstructural Alterations Along the Length of the Cingulum Bundle., , , , , , , and . Brain Connectivity, 7 (6): 366-372 (2017)