Identification of autism spectrum disorder based on functional near-infrared spectroscopy using dynamic multi-attribute spatio-temporal graph neural network-Reference-Cited by-同舟云学术

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Identification of autism spectrum disorder based on functional near-infrared spectroscopy using dynamic multi-attribute spatio-temporal graph neural network

Published:2024-08 Issue: Volume:94 Page:106364
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Fan Zhengqi,Gao Ziheng,Xu Lingyu,Yu Jie,Li Jun

Publisher

Elsevier BV

Reference52 articles.

1. Structural variation of chromosomes in autism spectrum disorder;Marshall;Am. J. Hum. Genet.,2008

2. Autism spectrum disorder;Lord;The Lancet,2018

3. The effect of autism spectrum disorders on adaptive independent living skills in adults with severe intellectual disability;Matson;Res. Dev. Disabil.,2009

4. Early detection and diagnosis of autism spectrum disorder: why is it so difficult?;McCarty,2020

5. Diagnosing autism spectrum disorder from functional MRI using graph isomorphic network;Zhang;J. Nanjing Univ.,2021

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1. CC- GCN: A novel graph-based approach for identification and detection of autism spectrum disorder;Multimedia Tools and Applications;2024-08-30

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