Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis-Reference-Cited by-同舟云学术

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Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis

Published:2023-04-18 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
language:
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Author:

Yu Yue¹,Kan Xuan²,Cui Hejie²,Xu Ran²,Zheng Yujia³,Song Xiangchen³,Zhu Yanqiao⁴,Zhang Kun³,Nabi Razieh²,Guo Ying²,Zhang Chao¹,Yang Carl²

Affiliation:

1. Georgia Tech

2. Emory

3. CMU

4. UCLA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10230311/10230322/10230429.pdf?arnumber=10230429

Reference28 articles.

1. Bayesian Joint Modeling of Multiple Brain Functional Networks

2. Nonparametric permutation tests for functional neuroimaging: A primer with examples

3. BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks;cui,2022

4. BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

5. The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis;2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI);2023-10-15

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