Anatomy-Guided Spatio-Temporal Graph Convolutional Networks (AG-STGCNs) for Modeling Functional Connectivity Between Gyri and Sulci Across Multiple Task Domains-Reference-Cited by-同舟云学术

Anatomy-Guided Spatio-Temporal Graph Convolutional Networks (AG-STGCNs) for Modeling Functional Connectivity Between Gyri and Sulci Across Multiple Task Domains

Published:2022 Issue: Volume: Page:1-11
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Jiang Mingxin¹^ORCID,Chen Yuzhong¹^ORCID,Yan Jiadong¹,Xiao Zhenxiang¹,Mao Wei¹,Zhao Boyu¹,Yang Shimin¹,Zhao Zhongbo¹,Zhang Tuo²,Guo Lei²,Becker Benjamin¹,Yao Dezhong¹^ORCID,Kendrick Keith M.¹,Jiang Xi¹^ORCID

Affiliation:

1. MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China

2. School of Automation, Northwestern Polytechnical University, Xi’an, China

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

Special Fund for Basic Scientific Research of Central Colleges

Key Scientific and Technological Projects of Guangdong Province Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09851619.pdf?arnumber=9851619

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