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Neurology | Psychiatry Using graph convolutional network to characterize individuals with major depressive disorder across multiple imaging sites. April 3, 2022
Neurology | Psychiatry | Radiology Using deep learning to classify pediatric posttraumatic stress disorder at the individual level. October 29, 2021
Neurology | Psychiatry | Radiology Detecting schizophrenia at the level of the individual: relative diagnostic value of whole-brain images, connectome-wide functional connectivity and graph-based metrics. August 8, 2019
Neurology | Neuroradiology | Psychiatry Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large-scale multi-sample study. May 9, 2019
Neurology | Psychiatry Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications. March 18, 2019
Neurology | Psychiatry Using Machine Learning and Structural Neuroimaging to Detect First Episode Psychosis: Reconsidering the Evidence. February 27, 2019
Neurology | Psychiatry | Radiology Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia. November 13, 2018