Brain Structure-Function Fusing Representation Learning Using Adversarial Decomposed-VAE for Analyzing MCI

Brain Structure-Function Fusing Representation Learning Using Adversarial Decomposed-VAE for Analyzing MCI

Integrating the brain structural and functional connectivity features is of great significance in both exploring brain science and analyzing cognitive impairment clinically. However, it remains a challenge to effectively fuse structural and functional features in exploring the complex brain network....

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Bibliographic Details
Main Authors: Qiankun Zuo, Ning Zhong, Yi Pan, Huisi Wu, Baiying Lei, Shuqiang Wang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Structural-functional fusion
decomposed representation learning
knowledge-aware transformer
graph convolutional network
mild cognitive impairment
Online Access:https://ieeexplore.ieee.org/document/10275112/

Internet

https://ieeexplore.ieee.org/document/10275112/

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