Interpretable Graph Convolutional Network Of Multi-Modality Brain Imaging For Alzheimer’s Disease Diagnosis-Reference-Cited by-同舟云学术

Interpretable Graph Convolutional Network Of Multi-Modality Brain Imaging For Alzheimer’s Disease Diagnosis

Published:2022-03-28 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)
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Author:

Zhou Houliang¹,He Lifang¹,Zhang Yu²,Shen Li³,Chen Brian¹

Affiliation:

1. Lehigh University,Department of Computer Science and Engineering,PA,USA

2. Lehigh University,Department of Bioengineering,PA,USA

3. University of Pennsylvania,Department of Biostatistics, Epidemiology and Informatics,PA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9761376/9761399/09761449.pdf?arnumber=9761449

Reference19 articles.

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3. Parameterized explainer for graph neural network;luo;NeurIPS,2020

4. PGM-Explainer: Probabilistic graphical model explanations for graph neural networks;vu;NeurIPS,2020

5. Multi-view graph convolutional network and its applications on neuroimage analysis for parkinson’s disease;zhang;AMIA Annual Symposium Proceedings,2018

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