Zhenwei Shi

According to our database, Zhenwei Shi authored at least 32 papers between 2019 and 2026.

Collaborative distances:

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

2026

Federated cross-source learning for lung nodule segmentation with data characteristic-aware weight optimization.

Xinjun Bian, Huan Lin, Yumeng Wang, Lingqiao Li, Zhenbing Liu, Huadeng Wang, Zhenwei Shi, Yi Qian, Zaiyi Liu, Rushi Lan, Xipeng Pan

Pattern Recognit., 2026

2025

FedBCD: Federated Ultrasound Video and Image Joint Learning for Breast Cancer Diagnosis.

Tianpeng Deng, Chunwang Huang, Ming Cai, Yu Liu, Min Liu, Jiatai Lin, Zhenwei Shi, Bingchao Zhao, Jingqi Huang, Changhong Liang, Guoqiang Han, Zaiyi Liu, Ying Wang, Chu Han

IEEE Trans. Medical Imaging, June, 2025

Semi-Supervised Gland Segmentation via Feature-Enhanced Contrastive Learning and Dual-Consistency Strategy.

Jiejiang Yu, Bingbing Li, Xipeng Pan, Zhenwei Shi, Huadeng Wang, Rushi Lan, Xiaonan Luo

IEEE J. Biomed. Health Informatics, June, 2025

Towards Computation- and Communication-efficient Computational Pathology.

Chu Han, Bingchao Zhao, Jiatai Lin, Shanshan Lyu, Longfei Wang, Tianpeng Deng, Cheng Lu, Changhong Liang, Hannah Y. Wen, Xiaojing Guo, Zhenwei Shi, Zaiyi Liu

CoRR, April, 2025

Label-efficient transformer-based framework with self-supervised strategies for heterogeneous lung tumor segmentation.

Zhenbing Liu, Weixing Li, Yanfen Cui, Xin Chen, Xipeng Pan, Guanchao Ye, Guangyao Wu, Yongde Liao, Leroy Volmer, Leonard Wee, Andre Dekker, Chu Han, Zaiyi Liu, Zhenwei Shi

Expert Syst. Appl., 2025

Data-efficient federated semi-supervised learning framework via pseudo supervision refinement strategy for lung tumor segmentation.

Weixing Li, Xipeng Pan, Zhen Zhang, Guangyao Wu, Guanchao Ye, Leonard Wee, Andre Dekker, Chu Han, Lei Shi, Zaiyi Liu, Zhenbing Liu, Zhenwei Shi

Biomed. Signal Process. Control., 2025

Rethinking mitosis detection: Towards diverse data and feature representation for better domain generalization.

Jiatai Lin, Hao Wang, Danyi Li, Jing Wang, Bingchao Zhao, Zhenwei Shi, Changhong Liang, Guoqiang Han, Li Liang, Zaiyi Liu, Chu Han

Artif. Intell. Medicine, 2025

2024

FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification.

Tianpeng Deng, Yanqi Huang, Guoqiang Han, Zhenwei Shi, Jiatai Lin, Qi Dou, Zaiyi Liu, Xiao-jing Guo, C. L. Philip Chen, Chu Han

IEEE Trans. Cybern., December, 2024

Protecting Prostate Cancer Classification From Rectal Artifacts via Targeted Adversarial Training.

Lei Hu, Dawei Zhou, Jiahua Xu, Cheng Lu, Chu Han, Zhenwei Shi, Qikui Zhu, Xinbo Gao, Nannan Wang, Zaiyi Liu

IEEE J. Biomed. Health Informatics, July, 2024

SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation.

Zhihe Zhao, Siyao Du, Zeyan Xu, Zhi Yin, Xiaomei Huang, Xin Huang, Chinting Wong, Yanting Liang, Jing Shen, Jianlin Wu, Jinrong Qu, Lina Zhang, Yanfen Cui, Ying Wang, Leonard Wee, Andre Dekker, Chu Han, Zaiyi Liu, Zhenwei Shi, Changhong Liang

Comput. Biol. Medicine, February, 2024

FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy.

Dan Wang, Chu Han, Zhen Zhang, Tiantian Zhai, Huan Lin, Baoyao Yang, Yanfen Cui, Yinbing Lin, Zhihe Zhao, Lujun Zhao, Changhong Liang, An Zeng, Dan Pan, Xin Chen, Zhenwei Shi, Zaiyi Liu

Comput. Methods Programs Biomed., 2024

PA-Net: A phase attention network fusing venous and arterial phase features of CT images for liver tumor segmentation.

Zhenbing Liu, Junfeng Hou, Xipeng Pan, Ruojie Zhang, Zhenwei Shi

Comput. Methods Programs Biomed., 2024

Active Learning by Feature Perturbation for Medical Image Classification.

Yuping Zhong, Guoqiang Han, Zhenwei Shi, Zaiyi Liu, Chu Han, Jiatai Lin

Proceedings of the Neural Information Processing - 31st International Conference, 2024

SS-WSSS: Small-Scale Weakly Supervised Semantic Segmentation for Histopathology Image.

Jiatai Lin, Guoqiang Han, Jingxuan Zhou, Zhenwei Shi, Zaiyi Liu, Chu Han

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework.

Jiadong Zhang, Zhiming Cui, Zhenwei Shi, Yingjia Jiang, Zhiliang Zhang, Xiaoting Dai, Zhenlu Yang, Yuning Gu, Lei Zhou, Chu Han, Xiaomei Huang, Chenglu Ke, Suyun Li, Zeyan Xu, Fei Gao, Luping Zhou, Rongpin Wang, Jun Liu, Jiayin Zhang, Zhongxiang Ding, Kun Sun, Zhenhui Li, Zaiyi Liu, Dinggang Shen

Patterns, September, 2023

Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre study.

Zhengyun Feng, Huan Lin, Zaiyi Liu, Lixu Yan, Yumeng Wang, Bingbing Li, Entao Liu, Chu Han, Zhenwei Shi, Cheng Lu, Zhenbing Liu, Cheng Pang, Zhenhui Li, Yanfen Cui, Xipeng Pan, Xin Chen

Comput. Methods Programs Biomed., August, 2023

HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images.

Yuhao Mo, Chu Han, Yu Liu, Min Liu, Zhenwei Shi, Jiatai Lin, Bingchao Zhao, Chunwang Huang, Bingjiang Qiu, Yanfen Cui, Lei Wu, Xipeng Pan, Zeyan Xu, Xiaomei Huang, Zhenhui Li, Zaiyi Liu, Ying Wang, Changhong Liang

IEEE Trans. Medical Imaging, June, 2023

CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation.

Jianwei Lin, Jiatai Lin, Cheng Lu, Hao Chen, Huan Lin, Bingchao Zhao, Zhenwei Shi, Bingjiang Qiu, Xipeng Pan, Zeyan Xu, Biao Huang, Changhong Liang, Guoqiang Han, Zaiyi Liu, Chu Han

IEEE Trans. Medical Imaging, 2023

Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation.

Hao Wang, Jiatai Lin, Danyi Li, Jing Wang, Bingchao Zhao, Zhenwei Shi, Xipeng Pan, Huadeng Wang, Bingbing Li, Changhong Liang, Guoqiang Han, Li Liang, Chu Han, Zaiyi Liu

CoRR, 2023

FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification.

Tianpeng Deng, Yanqi Huang, Zhenwei Shi, Jiatai Lin, Qi Dou, Ke Zhao, Fang-Fang Liu, Yu-Mian Jia, Jin Wang, Bingchao Zhao, Changhong Liang, Zaiyi Liu, Xiao-jing Guo, Guoqiang Han, Xin Chen, Chu Han

CoRR, 2023

Fed-CSA: Channel Spatial Attention and Adaptive Weights Aggregation-Based Federated Learning for Breast Tumor Segmentation on MRI.

Xinyu Dong, Zhenwei Shi, Xiaomei Huang, Chu Han, Zihan Cao, Zhihe Zhao, Dan Wang, Peng Xu, Zaiyi Liu, Wenbin Liu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

DBL-MPE: Deep Broad Learning for Prediction of Response to Neo-adjuvant Chemotherapy Using MRI-Based Multi-angle Maximal Enhancement Projection in Breast Cancer.

Zihan Cao, Zhenwei Shi, Xiaomei Huang, Chu Han, Xinyu Dong, Zhihe Zhao, Dan Wang, Peng Xu, Zaiyi Liu, Wenbin Liu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning.

Jiatai Lin, Guoqiang Han, Xipeng Pan, Zaiyi Liu, Hao Chen, Danyi Li, Xiping Jia, Zhenwei Shi, Zhizhen Wang, Yanfen Cui, Haiming Li, Changhong Liang, Li Liang, Ying Wang, Chu Han

IEEE Trans. Medical Imaging, 2022

Meta multi-task nuclei segmentation with fewer training samples.

Chu Han, Huasheng Yao, Bingchao Zhao, Zhenhui Li, Zhenwei Shi, Lei Wu, Xin Chen, Jinrong Qu, Ke Zhao, Rushi Lan, Changhong Liang, Xipeng Pan, Zaiyi Liu

Medical Image Anal., 2022

Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels.

Chu Han, Jiatai Lin, Jinhai Mai, Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Zeyan Xu, Su Yao, Lixu Yan, Huan Lin, Xiaomei Huang, Changhong Liang, Guoqiang Han, Zaiyi Liu

Medical Image Anal., 2022

HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images.

Yuhao Mo, Chu Han, Yu Liu, Min Liu, Zhenwei Shi, Jiatai Lin, Bingchao Zhao, Chunwang Huang, Bingjiang Qiu, Yanfen Cui, Lei Wu, Xipeng Pan, Zeyan Xu, Xiaomei Huang, Zaiyi Liu, Ying Wang, Changhong Liang

CoRR, 2022

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma.

Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi, Jinhai Mai, Jiatai Lin, Bingchao Zhao, Zeyan Xu, Zhizhen Wang, Yumeng Wang, Yuan Zhang, Huihui Wang, Chao Zhu, Chunhui Lin, Lijian Mao, Min Wu, Luwen Duan, Jingsong Zhu, Dong Hu, Zijie Fang, Yang Chen, Yongbing Zhang, Yi Li, Yiwen Zou, Yiduo Yu, Xiaomeng Li, Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu

CoRR, 2022

2021

PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning.

Jiatai Lin, Guoqiang Han, Xipeng Pan, Hao Chen, Danyi Li, Xiping Jia, Zhenwei Shi, Zhizhen Wang, Yanfen Cui, Haiming Li, Changhong Liang, Li Liang, Zaiyi Liu, Chu Han

CoRR, 2021

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels.

Chu Han, Jiatai Lin, Jinhai Mai, Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Xiaowei Xu, Su Yao, Lixu Yan, Huan Lin, Zeyan Xu, Xiaomei Huang, Guoqiang Han, Changhong Liang, Zaiyi Liu

CoRR, 2021

Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics.

Junhua Chen, Haiyan Zeng, Chong Zhang, Zhenwei Shi, Andre Dekker, Leonard Wee, Iñigo Bermejo

CoRR, 2021

2019

FAIR Quantitative Imaging in Oncology: how Semantic Web and Ontologies will support Reproducible Science.

Alberto Traverso, Zhenwei Shi, Leonard Wee, Andre Dekker

Proceedings of the 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2019

A Feature-Pooling and Signature-Pooling Method for Feature Selection for Quantitative Image Analysis: Application to a Radiomics Model for Survival in Glioma.

Zhenwei Shi, Chong Zhang, Inge Compter, Maikel Verduin, Ann Hoeben, Danielle Eekers, Andre Dekker, Leonard Wee

Proceedings of the Radiomics and Radiogenomics in Neuro-oncology, 2019