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A non-parametric statistical inference framework for Deep Learning in current neuroimaging., , , , , and . Inf. Fusion, (2023)Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound., , , , , , , , , and 1 other author(s). CoRR, (2016)Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound., , , , , , , , , and 1 other author(s). Comput. Vis. Image Underst., (2017)Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability., , , , , , , and . CoRR, (2021)Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning., , , , , , , , , and 10 other author(s). Inf. Fusion, (2020)Resting-State Functional Connectivity Disruption as a Pathological Biomarker in Autosomal Dominant Alzheimer Disease., , , , , , , , , and 21 other author(s). Brain Connect., 11 (3): 239-249 (2021)Distinguishing Parkinson's disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks., , , , , and . Frontiers Comput. Neurosci., (2015)Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism., , , , , , , , , and 1 other author(s). Frontiers Neuroinformatics, (2017)