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 002; Chong Zhang; Inge Compter; Maikel Verduin; Ann Hoeben; Danielle Eekers; Andre Dekker; Leonard Wee (RNO-AI@MICCAI, 2019)

FAIR Quantitative Imaging in Oncology: how Semantic Web and Ontologies will support Reproducible Science. - Alberto Traverso; Zhenwei Shi 002; Leonard Wee; Andre Dekker (SWAT4HCLS, 2019)

Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics. - Junhua Chen 002; Haiyan Zeng; Chong Zhang; Zhenwei Shi 002; Andre Dekker; Leonard Wee; Iñigo Bermejo (CoRR, 2021)

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels. - Chu Han; Jiatai Lin; Jinhai Mai; Yi Wang 031; Qingling Zhang 006; Bingchao Zhao; Xin Chen 058; Xipeng Pan; Zhenwei Shi 002; Xiaowei Xu; Su Yao; Lixu Yan; et al. (CoRR, 2021)

PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning. - Jiatai Lin; Guoqiang Han; Xipeng Pan; Hao Chen 011; Danyi Li; Xiping Jia; Zhenwei Shi 002; Zhizhen Wang; Yanfen Cui; Haiming Li; Changhong Liang; Li Liang; et al. (CoRR, 2021)

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 002; Jinhai Mai; Jiatai Lin; Bingchao Zhao; Zeyan Xu; et al. (CoRR, 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 002; Jiatai Lin; Bingchao Zhao; Chunwang Huang; Bingjiang Qiu; Yanfen Cui; Lei Wu; Xipeng Pan; et al. (CoRR, 2022)

Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels. - Chu Han; Jiatai Lin; Jinhai Mai; Yi Wang 031; Qingling Zhang 006; Bingchao Zhao; Xin Chen 058; Xipeng Pan; Zhenwei Shi 002; Zeyan Xu; Su Yao; Lixu Yan; et al. (Medical Image Anal., 2022)

Meta multi-task nuclei segmentation with fewer training samples. - Chu Han; Huasheng Yao; Bingchao Zhao; Zhenhui Li; Zhenwei Shi 002; Lei Wu; Xin Chen 058; Jinrong Qu; Ke Zhao; Rushi Lan; Changhong Liang; Xipeng Pan; et al. (Medical Image Anal., 2022)

PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning. - Jiatai Lin; Guoqiang Han; Xipeng Pan; Zaiyi Liu; Hao Chen 011; Danyi Li; Xiping Jia; Zhenwei Shi 002; Zhizhen Wang; Yanfen Cui; Haiming Li; Changhong Liang; et al. (IEEE Trans. Medical Imaging, 2022)

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 002; Xiaomei Huang; Chu Han; Xinyu Dong; Zhihe Zhao; Dan Wang; Peng Xu 004; Zaiyi Liu; Wenbin Liu (ICIC (3), 2023)

Fed-CSA: Channel Spatial Attention and Adaptive Weights Aggregation-Based Federated Learning for Breast Tumor Segmentation on MRI. - Xinyu Dong; Zhenwei Shi 002; Xiaomei Huang; Chu Han; Zihan Cao; Zhihe Zhao; Dan Wang; Peng Xu 004; Zaiyi Liu; Wenbin Liu (ICIC (3), 2023)

FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification. - Tianpeng Deng; Yanqi Huang; Zhenwei Shi 002; Jiatai Lin; Qi Dou 001; Ke Zhao; Fang-Fang Liu; Yu-Mian Jia; Jin Wang; Bingchao Zhao; Changhong Liang; Zaiyi Liu; et al. (CoRR, 2023)

Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation. - Hao Wang; Jiatai Lin; Danyi Li; Jing Wang; Bingchao Zhao; Zhenwei Shi 002; Xipeng Pan; Huadeng Wang; Bingbing Li; Changhong Liang; Guoqiang Han; Li Liang; et al. (CoRR, 2023)

CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation. - Jianwei Lin; Jiatai Lin; Cheng Lu 001; Hao Chen 011; Huan Lin; Bingchao Zhao; Zhenwei Shi 002; Bingjiang Qiu; Xipeng Pan; Zeyan Xu; Biao Huang 008; Changhong Liang; et al. (IEEE Trans. Medical Imaging, 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 002; Jiatai Lin; Bingchao Zhao; Chunwang Huang; Bingjiang Qiu; Yanfen Cui; Lei Wu; Xipeng Pan; et al. (IEEE Trans. Medical Imaging, 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 002; Cheng Lu 001; Zhenbing Liu; Cheng Pang; et al. (Comput. Methods Programs Biomed., 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 002; Yingjia Jiang; Zhiliang Zhang; Xiaoting Dai; Zhenlu Yang; Yuning Gu; Lei Zhou 003; Chu Han; Xiaomei Huang; Chenglu Ke; et al. (Patterns, 2023)

SS-WSSS: Small-Scale Weakly Supervised Semantic Segmentation for Histopathology Image. - Jiatai Lin; Guoqiang Han; Jingxuan Zhou; Zhenwei Shi 002; Zaiyi Liu; Chu Han (BIBM, 2024)

Active Learning by Feature Perturbation for Medical Image Classification. - Yuping Zhong; Guoqiang Han; Zhenwei Shi 002; Zaiyi Liu; Chu Han; Jiatai Lin (ICONIP (4), 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 002 (Comput. Methods Programs Biomed., 2024)

FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy. - Dan Wang; Chu Han; Zhen Zhang 058; Tiantian Zhai; Huan Lin; Baoyao Yang; Yanfen Cui; Yinbing Lin; Zhihe Zhao; Lujun Zhao; Changhong Liang; An Zeng; et al. (Comput. Methods Programs Biomed., 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; et al. (Comput. Biol. Medicine, 2024)

Protecting Prostate Cancer Classification From Rectal Artifacts via Targeted Adversarial Training. - Lei Hu 002; Dawei Zhou 004; Jiahua Xu; Cheng Lu 001; Chu Han; Zhenwei Shi 002; Qikui Zhu; Xinbo Gao 001; Nannan Wang 001; Zaiyi Liu (IEEE J. Biomed. Health Informatics, 2024)

FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification. - Tianpeng Deng; Yanqi Huang; Guoqiang Han; Zhenwei Shi 002; Jiatai Lin; Qi Dou 001; Zaiyi Liu; Xiao-jing Guo; C. L. Philip Chen; Chu Han (IEEE Trans. Cybern., 2024)

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 002; Changhong Liang; Guoqiang Han; Li Liang; Zaiyi Liu; Chu Han (Artif. Intell. Medicine, 2025)

Data-efficient federated semi-supervised learning framework via pseudo supervision refinement strategy for lung tumor segmentation. - Weixing Li; Xipeng Pan; Zhen Zhang 058; Guangyao Wu; Guanchao Ye; Leonard Wee; Andre Dekker; Chu Han; Lei Shi; Zaiyi Liu; Zhenbing Liu; Zhenwei Shi 002 (Biomed. Signal Process. Control., 2025)

Label-efficient transformer-based framework with self-supervised strategies for heterogeneous lung tumor segmentation. - Zhenbing Liu; Weixing Li; Yanfen Cui; Xin Chen 058; Xipeng Pan; Guanchao Ye; Guangyao Wu; Yongde Liao; Leroy Volmer; Leonard Wee; Andre Dekker; Chu Han; et al. (Expert Syst. Appl., 2025)

Towards Computation- and Communication-efficient Computational Pathology. - Chu Han; Bingchao Zhao; Jiatai Lin; Shanshan Lyu; Longfei Wang; Tianpeng Deng; Cheng Lu 001; Changhong Liang; Hannah Y. Wen; Xiaojing Guo; Zhenwei Shi 002; Zaiyi Liu (CoRR, 2025)

Semi-Supervised Gland Segmentation via Feature-Enhanced Contrastive Learning and Dual-Consistency Strategy. - Jiejiang Yu; Bingbing Li; Xipeng Pan; Zhenwei Shi 002; Huadeng Wang; Rushi Lan; Xiaonan Luo (IEEE J. Biomed. Health Informatics, 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 002; Bingchao Zhao; Jingqi Huang; Changhong Liang; Guoqiang Han; Zaiyi Liu; et al. (IEEE Trans. Medical Imaging, 2025)

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 002; Yi Qian; Zaiyi Liu; Rushi Lan; Xipeng Pan (Pattern Recognit., 2026)