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2020 – today
- 2024
[j5]Enze Shi
, Sigang Yu, Yanqing Kang, Jinru Wu, Lin Zhao, Dajiang Zhu, Jinglei Lv, Tianming Liu, Xintao Hu, Shu Zhang:
MEET: A Multi-Band EEG Transformer for Brain States Decoding. IEEE Trans. Biomed. Eng. 71(5): 1442-1453 (2024)- [j4]Shu Zhang, Lin Wu, Sigang Yu, Enze Shi, Ning Qiang, Huan Gao, Jingyi Zhao, Shijie Zhao:
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7339-7350 (2024) - [c7]Xiaoshan Zhang, Enze Shi, Sigang Yu, Shu Zhang:
DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion. MICCAI (2) 2024: 141-151 - [i4]Yanqing Kang, Di Zhu, Haiyang Zhang, Enze Shi, Sigang Yu, Jinru Wu, Xuhui Wang, Xuan Liu, Geng Chen, Xi Jiang, Tuo Zhang, Shu Zhang:
Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer. CoRR abs/2409.11174 (2024) - [i3]Enze Shi, Kui Zhao, Qilong Yuan, Jiaqi Wang, Huawen Hu, Sigang Yu, Shu Zhang:
FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling. CoRR abs/2409.12454 (2024) - 2023
- [j3]Shu Zhang, Jinru Wu, Enze Shi, Sigang Yu, Yongfeng Gao, Lihong Li, Licheng Ryan Kuo, Marc Jason Pomeroy, Jerome Zhengrong Liang:
MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification. Comput. Medical Imaging Graph. 108: 102257 (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]Huawen Hu, Haiyang Zhang, Enze Shi, Sigang Yu, Huan Gao, Shu Zhang:
A Diffusion-Based Multi-Objective Ant Colony Algorithm for Optimizing Network Topology Design. ICCIP 2023: 393-399 - [c5]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 - [c4]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 - [c3]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 - [i2]Jiaqi Wang, Enze Shi, Sigang Yu, Zihao Wu, Chong Ma, Haixing Dai, Qiushi Yang, Yanqing Kang, Jinru Wu, Huawen Hu, Chenxi Yue, Haiyang Zhang, Yiheng Liu, Xiang Li, Bao Ge, Dajiang Zhu, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang:
Prompt Engineering for Healthcare: Methodologies and Applications. CoRR abs/2304.14670 (2023) - [i1]Jiaqi Wang, Zhengliang Liu, Lin Zhao, Zihao Wu, Chong Ma, Sigang Yu, Haixing Dai, Qiushi Yang, Yiheng Liu, Songyao Zhang, Enze Shi, Yi Pan, Tuo Zhang, Dajiang Zhu, Xiang Li, Xi Jiang, Bao Ge, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang:
Review of Large Vision Models and Visual Prompt Engineering. CoRR abs/2307.00855 (2023) - 2022
- [c2]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 - [c1]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
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