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Sigang Yu
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2020 – today
- 2024
- [j5]Enze Shi
, Sigang Yu
MEET: A Multi-Band EEG Transformer for Brain States Decoding. IEEE Trans. Biomed. Eng. 71(5): 1442-1453 (2024) - [j4]Shu Zhang
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
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
An explainable deep learning framework for characterizing and interpreting human brain states. Medical Image Anal. 83: 102665 (2023) - [j1]Shu Zhang, Enze Shi
Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network. Neural Networks 165: 1035-1049 (2023) - [c6]Huawen Hu
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
Exploring Brain Function-Structure Connectome Skeleton via Self-supervised Graph-Transformer Approach. MICCAI (8) 2023: 308-317 - [i2]Jiaqi Wang, Enze Shi
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
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
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
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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