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AbstractLarge-scale in vivo neuroimaging datasets offer new possibilities for reliable, well-powered measures of interregional structural differences and biomarkers of pathological changes in a wide variety of neurological and psychiatric diseases. However, it has been impossible to determine the cortical layer or neurobiological processes causing these changes. We developed artificial neural networks to segment cortical and laminar surfaces in the BigBrain, a 3D histological model of the humandoi:10.1101/580597 fatcat:bnhhvysrffetfofnjj274vjjoa