Regional Brain Fusion: Graph Convolutional Network for Alzheimer's Disease Prediction and Analysis.

Li, Wenchao; Zhao, Jiaqi; Shen, Chenyu; Zhang, Jingwen; Hu, Ji; Xiao, Mang; Zhang, Jiyong; Chen, Minghan

Li, Wenchao; Zhao, Jiaqi; Shen, Chenyu; Zhang, Jingwen; Hu, Ji; Xiao, Mang; Zhang, Jiyong; Chen, Minghan.

Afiliação

Li W; Intelligent Information Processing Laboratory, Hangzhou Dianzi University, Hangzhou, China.
Zhao J; Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China.
Shen C; Intelligent Information Processing Laboratory, Hangzhou Dianzi University, Hangzhou, China.
Zhang J; Department of Computer Science, Wake Forest University, Winston-Salem, NC, United States.
Hu J; Intelligent Information Processing Laboratory, Hangzhou Dianzi University, Hangzhou, China.
Xiao M; Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Zhang J; Intelligent Information Processing Laboratory, Hangzhou Dianzi University, Hangzhou, China.
Chen M; Department of Computer Science, Wake Forest University, Winston-Salem, NC, United States.

Front Neuroinform ; 16: 886365, 2022.

Article em En | MEDLINE | ID: mdl-35571869

Palavras-chave

Alzheimer's disease; adaptive native node attribute (ANNA); amyloid-PET; brain network; regional brain fusion-graph convolutional network (RBF-GCN)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Neuroinform Ano de publicação: 2022 Tipo de documento: Article

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