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Classification of schizophrenia patients and healthy controls from structural MRI scans in two large independent samples.

, , , , , and . NeuroImage, 61 (3): 606-612 (2012)

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Classification of schizophrenia patients and healthy controls from structural MRI scans in two large independent samples., , , , , and . NeuroImage, 61 (3): 606-612 (2012)Gray and white matter density changes in monozygotic and same-sex dizygotic twins discordant for schizophrenia using voxel-based morphometry., , , , , , , , , and . NeuroImage, 31 (2): 482-488 (2006)Microglia activation in schizophrenia., , , , , , , , , and 2 other author(s). NeuroImage, 52 (Supplement-1): S145 (2010)Multi-center machine learning in imaging psychiatry: A meta-model approach., , , , , , , , and . NeuroImage, (2017)Heritability of brain volume change and its relation to intelligence., , , , , , , , and . NeuroImage, (2014)Topology of genetic associations between regional gray matter volume and intellectual ability: Evidence for a high capacity network., , , , , , , and . NeuroImage, (2016)Multi-center MRI prediction models: Predicting sex and illness course in first episode psychosis patients., , , , , , , , , and 10 other author(s). NeuroImage, (2017)Can structural MRI aid in clinical classification? A machine learning study in two independent samples of patients with schizophrenia, bipolar disorder and healthy subjects., , , , , , , and . NeuroImage, (2014)