Learning to Fuse Multiple Brain Functional Networks for Automated Autism Identification

SIMPLE SUMMARY: This study aims to provide computer-aided diagnosis and valuable biomarkers for autism spectrum disorders by leveraging functional connectivity networks (FCNs) from resting-state functional magnetic resonance imaging data. We propose a novel framework for multi-FCN fusion to adaptive...

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Detalles Bibliográficos
Autores principales: Zhang, Chaojun, Ma, Yunling, Qiao, Lishan, Zhang, Limei, Liu, Mingxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376072/
https://www.ncbi.nlm.nih.gov/pubmed/37508401
http://dx.doi.org/10.3390/biology12070971

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376072/
https://www.ncbi.nlm.nih.gov/pubmed/37508401
http://dx.doi.org/10.3390/biology12070971

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