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Using deep learning to study how mental disorders affect the brain

Georgia State University researchers are working to harness deep learning and artificial intelligence to learn more about how mental illness and other disorders affect the brain.

Georgia State University researchers are working to harness deep learning and artificial intelligence to learn more about how mental illness and other disorders affect the brain.

Led by Vince Calhoun, Distinguished University Professor of Psychology at Georgia State and director of the Center for Translational Research in Neuroimaging and Data Science (TReNDS), and Sergey Plis, associate professor of computer science and director of machine learning at TReNDs, the team is combining different types of brain imaging data to capture patterns that are indicative of brain disorders. Robyn Miller, assistant professor of computer science, is a co-investigator on the project. Their work is funded by a $2.4 million, four-year award from the National Institute of Biomedical Imaging and Bioengineering.

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