Unsupervised cross-domain functional MRI adaptation for automated major depressive disorder identification.

Fang, Yuqi; Wang, Mingliang; Potter, Guy G; Liu, Mingxia

Fang, Yuqi; Wang, Mingliang; Potter, Guy G; Liu, Mingxia.

Afiliación

Fang Y; Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Wang M; School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Potter GG; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27710, United States. Electronic address: guy.potter@duke.edu.
Liu M; Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States. Electronic address: mxliu@med.unc.edu.

Med Image Anal ; 84: 102707, 2023 02.

Article en En | MEDLINE | ID: mdl-36512941

Asunto(s)

Trastorno Depresivo Mayor; Humanos; Trastorno Depresivo Mayor/diagnóstico por imagen; Encéfalo/diagnóstico por imagen; Imagen por Resonancia Magnética/métodos

Palabras clave

Functional MRI; Graph convolutional network; Major depressive disorder; Unsupervised domain adaptation

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Trastorno Depresivo Mayor Tipo de estudio: Diagnostic_studies / Guideline Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article

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