Resting-State Functional MRI Adaptation with Attention Graph Convolution Network for Brain Disorder Identification

Multi-site resting-state functional magnetic resonance imaging (rs-fMRI) data can facilitate learning-based approaches to train reliable models on more data. However, significant data heterogeneity between imaging sites, caused by different scanners or protocols, can negatively impact the generaliza...

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Detalles Bibliográficos
Autores principales: Chu, Ying, Ren, Haonan, Qiao, Lishan, Liu, Mingxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9599902/
https://www.ncbi.nlm.nih.gov/pubmed/36291346
http://dx.doi.org/10.3390/brainsci12101413

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9599902/
https://www.ncbi.nlm.nih.gov/pubmed/36291346
http://dx.doi.org/10.3390/brainsci12101413

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