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ORCIDShu Zhang 0006
Person information
- affiliation: Northwestern Polytechnical University, School of Computer Science, Xi'an, China
- affiliation (former): Stony Brook University, Department of Radiology, NY, USA
Other persons with the same name
- Shu Zhang — disambiguation page
- Shu Zhang 0001
![[0000-0002-2049-0970]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2049-0970")
— Deepwise Healthcare, AI Lab, Beijing, China (and 2 more) - Shu Zhang 0002 — Ocean University of China, Qingdao, China
- Shu Zhang 0003 — Chongqing University, School of Economics and Business Adminstration, China (and 1 more)
- Shu Zhang 0004 — Fujitsu Research & Development Center, Beijing, China
- Shu Zhang 0005 — Shandong University, Qingdao, China
- Shu Zhang 0007 — Salesforce Research, Inc. (and 1 more)
- Shu Zhang 0008 — Tongji University, Shanghai, China
- Shu Zhang 0009 — Nanjing University, Nanjing, China
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2020 – today
- 2023
[j6]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)- [j5]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) - [c10]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 - [c9]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 - [c8]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
- [j4]Weiguo Cao, Marc Jason Pomeroy, Shu Zhang, Jiaxing Tan, Zhengrong Liang, Yongfeng Gao, Almas F. Abbasi, Perry J. Pickhardt:
An Adaptive Learning Model for Multiscale Texture Features in Polyp Classification via Computed Tomographic Colonography. Sensors 22(3): 907 (2022) - [c7]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 - [c6]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 - 2020
- [j3]Fangfang Han, Linkai Yan, Junxin Chen, Yueyang Teng, Shuo Chen, Shouliang Qi, Wei Qian, Jie Yang, William Moore, Shu Zhang, Zhengrong Liang:
Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning. J. Digit. Imaging 33(3): 685-696 (2020) - [c5]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 - [c4]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 - [c3]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 - [c2]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
2010 – 2019
- 2019
- [j2]Shu Zhang, Fangfang Han, Zhengrong Liang, Jiaxing Tan, Weiguo Cao, Yongfeng Gao, Marc Jason Pomeroy, Kenneth Ng, Wei Hou:
An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets. Comput. Medical Imaging Graph. 77 (2019) - [j1]Yongfeng Gao, Yongyi Shi, Weiguo Cao, Shu Zhang, Zhengrong Liang:
Energy enhanced tissue texture in spectral computed tomography for lesion classification. Vis. Comput. Ind. Biomed. Art 2: 1-12 (2019) - [c1]Jiaxing Tan, Yongfeng Gao, Weiguo Cao, Marc Jason Pomeroy, Shu Zhang, Yumei Huo, Lihong Li, Zhengrong Liang:
GLCM-CNN: Gray Level Co-occurrence Matrix based CNN Model for Polyp Diagnosis. BHI 2019: 1-4
Coauthor Index
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