Neuroimaging Data Informed Mood and Psychosis Diagnosis Using an Ensemble Deep Multimodal Framework.

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Title: Neuroimaging Data Informed Mood and Psychosis Diagnosis Using an Ensemble Deep Multimodal Framework.
Authors: Rokham H; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.; School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA., Falakshahi H; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.; School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA., Pearlson GD; Department of Psychiatry, Yale University, New Haven, Connecticut, USA.; Department of Neuroscience, Yale University, New Haven, Connecticut, USA.; Olin Neuropsychiatry Research Center, Hartford Hospital, Hartford, Connecticut, USA., Calhoun VD; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.; School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.; Department of Psychiatry, Yale University, New Haven, Connecticut, USA.
Source: Human brain mapping [Hum Brain Mapp] 2025 Sep; Vol. 46 (13), pp. e70347.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 9419065 Publication Model: Print Cited Medium: Internet ISSN: 1097-0193 (Electronic) Linking ISSN: 10659471 NLM ISO Abbreviation: Hum Brain Mapp Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1097-0193
DOI:10.1002/hbm.70347