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Multi-center machine learning in imaging psychiatry: A meta-model approach., , , , , , , , и . NeuroImage, (2017)Oranges-In-A-Box Simulations help to Classify Brain Tissues from MRI.. ERCIM News, (2007)Using neuroimaging to help predict the onset of psychosis., , , , , , , и . NeuroImage, (2017)Classification of schizophrenia patients and healthy controls from structural MRI scans in two large independent samples., , , , , и . NeuroImage, 61 (3): 606-612 (2012)Active Selection of Classification Features., , , , и . IDA, том 12695 из Lecture Notes in Computer Science, стр. 184-195. Springer, (2021)Automatic Segmentation of the Ventricular System from MR Images of the Human Brain., , , , и . NeuroImage, 14 (1): 95-104 (2001)Can structural MRI aid in clinical classification? A machine learning study in two independent samples of patients with schizophrenia, bipolar disorder and healthy subjects., , , , , , , и . NeuroImage, (2014)Genetic influences on thinning of the cerebral cortex during development., , , , , , , , , и . NeuroImage, 59 (4): 3871-3880 (2012)Multi-center MRI prediction models: Predicting sex and illness course in first episode psychosis patients., , , , , , , , , и 10 other автор(ы). NeuroImage, (2017)Three-dimensional appearance for hippocampus segmentation from MRI., , , , и . Medical Imaging: Image Processing, том 5032 из SPIE Proceedings, SPIE, (2003)