MetaCAE: Causal autoencoder with meta-knowledge transfer for brain effective connectivity estimation-Reference-Cited by-同舟云学术

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MetaCAE: Causal autoencoder with meta-knowledge transfer for brain effective connectivity estimation

Published:2024-03 Issue: Volume:170 Page:107940
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Ji Junzhong,Zhang Zuozhen,Han Lu,Liu Jinduo^ORCID

Publisher

Elsevier BV

Reference54 articles.

1. Functional and effective connectivity: A review;Friston;Brain Connect.,2011

2. A survey on brain effective connectivity network learning;Ji;IEEE Trans. Neural Netw. Learn. Syst.,2023

3. Conv-swinformer: Integration of CNN and shift window attention for Alzheimer’s disease classification;Hu;Comput. Biol. Med.,2023

4. Diagnosis and classification of Parkinson’s disease using ensemble learning and 1D-PDCovNN;Nour;Comput. Biol. Med.,2023

5. PLSNet: Position-aware GCN-based autism spectrum disorder diagnosis via FC learning and ROIs sifting;Wang;Comput. Biol. Med.,2023

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1. BDHT: Generative AI Enables Causality Analysis for Mild Cognitive Impairment;IEEE Transactions on Automation Science and Engineering;2024

2. Brain Network Evaluation by Functional-Guided Effective Connectivity Reinforcement Learning Method Indicates Therapeutic Effect for Tinnitus;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

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