Deep Manifold Harmonic Network With Dual Attention for Brain Disorder Classification-Reference-Cited by-同舟云学术

Deep Manifold Harmonic Network With Dual Attention for Brain Disorder Classification

Author:

Sheng Xiaoqi¹^ORCID,Chen Jiazhou¹,Liu Yong²^ORCID,Hu Bin³^ORCID,Cai Hongmin¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

2. School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China

3. School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu, China

Funder

National Natural Science Foundation of China

National Key R & D Program of China

Key-Area Research and Development of Guangdong Province

Natural Science Foundation of Guangdong Province

Key-Area Research and Development Program of Guangzhou City

China Postdoctoral Science Foundation

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

Reference52 articles.

1. Group-wise hub identification by learning common graph embeddings on Grassmannian manifold;yang;IEEE Trans Pattern Anal Mach Intell,2022

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