Prior-Guided Adversarial Learning With Hypergraph for Predicting Abnormal Connections in Alzheimer’s Disease-Reference-Cited by-同舟云学术

Prior-Guided Adversarial Learning With Hypergraph for Predicting Abnormal Connections in Alzheimer’s Disease

Published:2024-06 Issue:6 Volume:54 Page:3652-3665
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Zuo Qiankun¹,Wu Huisi²^ORCID,Chen C. L. Philip³^ORCID,Lei Baiying⁴^ORCID,Wang Shuqiang¹^ORCID

Affiliation:

1. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

2. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

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

4. Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, China

Funder

National Key Research and Development Program of China

National Natural Science Foundations of China

Distinguished Young Scholars Fund of Guangdong

Excellent Young Scholars of Shenzhen

Shenzhen Key Basic Research Projects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221036/10542154/10403983.pdf?arnumber=10403983

Reference59 articles.

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3. Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease

4. Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis

5. Fused Sparse Network Learning for Longitudinal Analysis of Mild Cognitive Impairment

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