Shu Zhang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Grey Level Co Occurrence Matrix

Brain Connectivity

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Image Anal.

Publications

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) (2024)
Chong Ma, Zihao Wu, Jiaqi Wang, Shaochen Xu, Yaonai Wei, Zhengliang Liu, Fang Zeng, Xi Jiang, Lei Guo, Xiaoyan Cai, Shu Zhang, Tuo Zhang, Dajiang Zhu, Dinggang Shen, Tianming Liu, Xiang Li
An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT. IEEE Trans. Artif. Intell. 5 (8) (2024)
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) (2024)
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)
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)
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 (2023)
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 (2023)
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)
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)
David Liang, David Wang, Alice Wei, Yeseul Choi, Shu Zhang, Marc Jason Pomeroy, Perry J. Pickhardt
Performance investigation of deep learning vs. classifier for polyp differentiation via texture features. Medical Imaging: Computer-Aided Diagnosis (2020)
Jiaxing Tan, Shu Zhang, Weiguo Cao, Yongfeng Gao, Lihong Li, Yumei Huo, Zhengrong Liang
A multi-stage fusion strategy for multi-scale GLCM-CNN model in differentiating malignant from benign polyps. Medical Imaging: Computer-Aided Diagnosis (2020)
Shu Zhang, Weiguo Cao, Marc Jason Pomeroy, Yongfeng Gao, Jiaxing Tan, Zhengrong Liang
A deep learning based integration of multiple texture patterns from intensity, gradient and curvature GLCMs in differentiating the malignant from benign polyps. Medical Imaging: Computer-Aided Diagnosis (2020)
Weiguo Cao, Marc Jason Pomeroy, Shu Zhang, Perry J. Pickhardt, Hongbing Lu, Zhengrong Liang
Deformation robust texture features for polyp classification via CT colonography. Medical Imaging: Computer-Aided Diagnosis (2020)