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2020 – today
- 2023
[j2]Shu Zhang
, Junxin Wang, Sigang Yu, Ruoyang Wang, Junwei Han, Shijie Zhao, Tianming Liu, Jinglei Lv:
An explainable deep learning framework for characterizing and interpreting human brain states. Medical Image Anal. 83: 102665 (2023)- [j1]Shu Zhang, Enze Shi, Lin Wu, Ruoyang Wang, Sigang Yu, Zhengliang Liu, Shaochen Xu, Tianming Liu, Shijie Zhao:
Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network. Neural Networks 165: 1035-1049 (2023) - [c6]Shu Zhang, Haiyang Zhang, Ruoyang Wang, Yanqing Kang, Sigang Yu, Jinru Wu:
A Novel Multi-Modality Framework for Exploring Brain Connectivity Hubs Via Reinforcement Learning Approach. ISBI 2023: 1-5 - [c5]Shu Zhang, Ruoyang Wang, Yanqing Kang, Sigang Yu, Huawen Hu, Haiyang Zhang:
Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark. MICCAI (8) 2023: 163-172 - [c4]Yanqing Kang, Ruoyang Wang, Enze Shi, Jinru Wu, Sigang Yu, Shu Zhang:
Exploring Brain Function-Structure Connectome Skeleton via Self-supervised Graph-Transformer Approach. MICCAI (8) 2023: 308-317 - 2022
- [c3]Shu Zhang, Jinru Wu, Sigang Yu, Ruoyang Wang, Enze Shi, Yongfeng Gao, Zhengrong Liang:
A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset. MMMI@MICCAI 2022: 44-53 - [c2]Shu Zhang, Yanqing Kang, Sigang Yu, Jinru Wu, Enze Shi, Ruoyang Wang, Zhibin He, Lei Du, Tuo Zhang:
A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure. MLMI@MICCAI 2022: 191-200
2010 – 2019
- 2017
- [c1]Yongsheng Wang, Shanshan Li, Ruoyang Wang, Xiaowei Liu:
LMS-FIR based digital background calibration for the four-channel time-interleaved ADC. ASICON 2017: 391-394
Coauthor Index
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