Shu Zhang

According to our database, Shu Zhang authored at least 16 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification.

Shu Zhang, Jinru Wu, Enze Shi, Sigang Yu, Yongfeng Gao, Lihong Li, Licheng Ryan Kuo, Marc Jason Pomeroy, Jerome Zhengrong Liang

Comput. Medical Imaging Graph., September, 2023

An explainable deep learning framework for characterizing and interpreting human brain states.

Shu Zhang, Junxin Wang, Sigang Yu, Ruoyang Wang, Junwei Han, Shijie Zhao, Tianming Liu, Jinglei Lv

Medical Image Anal., 2023

Exploring Brain Function-Structure Connectome Skeleton via Self-supervised Graph-Transformer Approach.

Yanqing Kang, Ruoyang Wang, Enze Shi, Jinru Wu, Sigang Yu, Shu Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Novel Multi-Modality Framework for Exploring Brain Connectivity Hubs Via Reinforcement Learning Approach.

Shu Zhang, Haiyang Zhang, Ruoyang Wang, Yanqing Kang, Sigang Yu, Jinru Wu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

A Diffusion-Based Multi-Objective Ant Colony Algorithm for Optimizing Network Topology Design.

Huawen Hu, Haiyang Zhang, Enze Shi, Sigang Yu, Huan Gao, Shu Zhang

Proceedings of the 9th International Conference on Communication and Information Processing, 2023

2022

An Adaptive Learning Model for Multiscale Texture Features in Polyp Classification via Computed Tomographic Colonography.

Weiguo Cao, Marc Jason Pomeroy, Shu Zhang, Jiaxing Tan, Zhengrong Liang, Yongfeng Gao, Almas F. Abbasi, Perry J. Pickhardt

Sensors, 2022

A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset.

Shu Zhang, Jinru Wu, Sigang Yu, Ruoyang Wang, Enze Shi, Yongfeng Gao, Zhengrong Liang

Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022

A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure.

Shu Zhang, Yanqing Kang, Sigang Yu, Jinru Wu, Enze Shi, Ruoyang Wang, Zhibin He, Lei Du, Tuo Zhang

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

2020

Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning.

Fangfang Han, Linkai Yan, Junxin Chen, Yueyang Teng, Shuo Chen, Shouliang Qi, Wei Qian, Jie Yang, William Moore, Shu Zhang, Zhengrong Liang

J. Digit. Imaging, 2020

A multi-stage fusion strategy for multi-scale GLCM-CNN model in differentiating malignant from benign polyps.

Jiaxing Tan, Shu Zhang, Weiguo Cao, Yongfeng Gao, Lihong Li, Yumei Huo, Zhengrong Liang

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Performance investigation of deep learning vs. classifier for polyp differentiation via texture features.

David Liang, David Wang, Alice Wei, Yeseul Choi, Shu Zhang, Marc Jason Pomeroy, Perry J. Pickhardt

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Deformation robust texture features for polyp classification via CT colonography.

Weiguo Cao, Marc Jason Pomeroy, Shu Zhang, Perry J. Pickhardt, Hongbing Lu, Zhengrong Liang

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

A deep learning based integration of multiple texture patterns from intensity, gradient and curvature GLCMs in differentiating the malignant from benign polyps.

Shu Zhang, Weiguo Cao, Marc Jason Pomeroy, Yongfeng Gao, Jiaxing Tan, Zhengrong Liang

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Energy enhanced tissue texture in spectral computed tomography for lesion classification.

Yongfeng Gao, Yongyi Shi, Weiguo Cao, Shu Zhang, Zhengrong Liang

Vis. Comput. Ind. Biomed. Art, 2019

An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets.

Shu Zhang, Fangfang Han, Zhengrong Liang, Jiaxing Tan, Weiguo Cao, Yongfeng Gao, Marc Jason Pomeroy, Kenneth Ng, Wei Hou

Comput. Medical Imaging Graph., 2019

GLCM-CNN: Gray Level Co-occurrence Matrix based CNN Model for Polyp Diagnosis.

Jiaxing Tan, Yongfeng Gao, Weiguo Cao, Marc Jason Pomeroy, Shu Zhang, Yumei Huo, Lihong Li, Zhengrong Liang

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019