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Sigang Yu

Showing results (1-10 of 10) with videos related to

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Frontiers in Human Neuroscience|October 17, 2022
A hybrid learning framework for fine-grained interpretation of brain spatiotemporal patterns during naturalistic functional magnetic resonance imagingSigang Yu, Enze Shi, Ruoyang Wang, et al.
Medical Image Analysis|November 12, 2022
An explainable deep learning framework for characterizing and interpreting human brain statesShu Zhang, Junxin Wang, Sigang Yu, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 4, 2022
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG DatasetShu Zhang, Lin Wu, Sigang Yu, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2026
MuST: Multi-Scale Transformer Incorporating Hierarchical Attention and TCN for EEG DecodingKui Zhao, Enze Shi, Di Zhu, et al.
Frontiers in Neuroscience|October 25, 2021
Joint Analysis of Functional and Structural Connectomes Between Preterm and Term Infant Brains via Canonical Correlation Analysis With Locality Preserving ProjectionShu Zhang, Zhibin He, Lei Du, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|July 24, 2025
Characterizing and differentiating brain states through a CS-KBRs framework for highlighting the synergy of common and specific brain regionsDi Zhu, Shu Zhang, Sigang Yu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 20, 2023
Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural networkShu Zhang, Enze Shi, Lin Wu, et al.
IEEE Transactions on Bio-Medical Engineering|December 6, 2023
MEET: A Multi-Band EEG Transformer for Brain States DecodingEnze Shi, Sigang Yu, Yanqing Kang, et al.
Computers in Biology and Medicine|December 28, 2024
Identifying influential nodes in brain networks via self-supervised graph-transformerYanqing Kang, Di Zhu, Haiyang Zhang, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|June 10, 2023
MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classificationShu Zhang, Jinru Wu, Enze Shi, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Frontiers in Human Neuroscience|October 17, 2022
A hybrid learning framework for fine-grained interpretation of brain spatiotemporal patterns during naturalistic functional magnetic resonance imagingSigang Yu, Enze Shi, Ruoyang Wang, et al.
Medical Image Analysis|November 12, 2022
An explainable deep learning framework for characterizing and interpreting human brain statesShu Zhang, Junxin Wang, Sigang Yu, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 4, 2022
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG DatasetShu Zhang, Lin Wu, Sigang Yu, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2026
MuST: Multi-Scale Transformer Incorporating Hierarchical Attention and TCN for EEG DecodingKui Zhao, Enze Shi, Di Zhu, et al.
Frontiers in Neuroscience|October 25, 2021
Joint Analysis of Functional and Structural Connectomes Between Preterm and Term Infant Brains via Canonical Correlation Analysis With Locality Preserving ProjectionShu Zhang, Zhibin He, Lei Du, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|July 24, 2025
Characterizing and differentiating brain states through a CS-KBRs framework for highlighting the synergy of common and specific brain regionsDi Zhu, Shu Zhang, Sigang Yu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 20, 2023
Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural networkShu Zhang, Enze Shi, Lin Wu, et al.
IEEE Transactions on Bio-Medical Engineering|December 6, 2023
MEET: A Multi-Band EEG Transformer for Brain States DecodingEnze Shi, Sigang Yu, Yanqing Kang, et al.
Computers in Biology and Medicine|December 28, 2024
Identifying influential nodes in brain networks via self-supervised graph-transformerYanqing Kang, Di Zhu, Haiyang Zhang, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|June 10, 2023
MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classificationShu Zhang, Jinru Wu, Enze Shi, et al.
Pageof 1