From models to tools: clinical translation of machine learning studies in psychosis
npj Schizophrenia
Publications
2020
2019
Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual
Human Brain Mapping
2018
Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large‐scale multi‐sample study
Human Brain Mapping
Deep Learning Technology: Concepts and Applications in Biological Psychiatry
Biological Psychiatry
2017
Using clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis
Schizophrenia Research
Using Convolutional Neural Networks to Examine Structural Abnormalities in Schizophrenia
Schizophrenia Bulletin
Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications
Neuroscience & Biobehavioral Reviews
2016
2015
Can neuroimaging be used to predict the onset of psychosis?
Lancet Psychiatry
2014
An empirical comparison of different approaches for combining multimodal neuroimaging data with support vector machine
Frontiers in Neuroscience
2013
2012
Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review.
Neuroscience & Biobehavioral Reviews