DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs. - Wenhui Lei; Huan Wang 015; Ran Gu; Shichuan Zhang; Shaoting Zhang 001; Guotai Wang (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

A Hierarchical Framwork with Improved Loss for Large-scale Multi-modal Video Identification. - Shichuan Zhang; Zengming Tang; Hao Pan; Xinyu Wei; Jun Huang 009 (ACM Multimedia, 2019)

Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-Specific Pruning. - Jiatong Cai; Chenglu Zhu; Can Cui; Honglin Li 001; Tong Wu; Shichuan Zhang; Lin Yang 002 (MICCAI (8), 2021)

Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images. - Wenhui Lei; Wei Xu 046; Ran Gu; Hao Fu; Shaoting Zhang 001; Shichuan Zhang; Guotai Wang (MICCAI (2), 2021)

Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency. - Xiangde Luo; Wenjun Liao; Jieneng Chen; Tao Song 002; Yinan Chen; Shichuan Zhang; Nianyong Chen; Guotai Wang; Shaoting Zhang 001 (MICCAI (2), 2021)

Generalizing Nucleus Recognition Model in Multi-source Images via Pruning. - Jiatong Cai; Chenglu Zhu; Can Cui; Honglin Li 001; Tong Wu; Shichuan Zhang; Lin Yang 002 (CoRR, 2021)

Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss. - Wenhui Lei; Haochen Mei; Zhengwentai Sun; Shan Ye; Ran Gu; Huan Wang 015; Rui Huang 001; Shichuan Zhang; Shaoting Zhang 001; Guotai Wang (Neurocomputing, 2021)

Automatic segmentation of gross target volume of nasopharynx cancer using ensemble of multiscale deep neural networks with spatial attention. - Haochen Mei; Wenhui Lei; Ran Gu; Shan Ye; Zhengwentai Sun; Shichuan Zhang; Guotai Wang (Neurocomputing, 2021)

Category Separation For Weakly Supervised Multi-Class Cell Counting. - Jiatong Cai; Chenglu Zhu; Pingyi Chen; Shichuan Zhang; Honglin Li 001; Yuxuan Sun 002; Lin Yang 002 (ISBI, 2022)

Weakly Supervised Learning For Cell Recognition In Immunohistochemical Cytoplasm Staining Images. - Shichuan Zhang; Chenglu Zhu; Honglin Li 001; Jiatong Cai; Lin Yang 002 (ISBI, 2022)

Weakly Supervised Classification using Multi-Level Instance-Aware Optimization on Cervical Cytologic Image. - Chenglu Zhu; Yuxuan Sun 002; Honglin Li 001; Can Cui; Shichuan Zhang; Jiatong Cai; Yang Ling (ISBI, 2022)

End-to-End Cell Recognition by Point Annotation. - Zhongyi Shui; Shichuan Zhang; Chenglu Zhu; Bingchuan Wang; Pingyi Chen; Sunyi Zheng; Lin Yang 002 (MICCAI (4), 2022)

Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images. - Pingyi Chen; Chenglu Zhu; Zhongyi Shui; Jiatong Cai; Sunyi Zheng; Shichuan Zhang; Lin Yang 002 (CoRR, 2022)

Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency. - Xiangde Luo; Guotai Wang; Wenjun Liao; Jieneng Chen; Tao Song 002; Yinan Chen; Shichuan Zhang; Dimitris N. Metaxas; Shaoting Zhang 001 (Medical Image Anal., 2022)

HMRNet: High and Multi-Resolution Network With Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy. - Hao Fu; Guotai Wang; Wenhui Lei; Wei Xu 046; Qianfei Zhao; Shichuan Zhang; Kang Li 004; Shaoting Zhang 001 (IEEE J. Biomed. Health Informatics, 2022)

Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis. - Shichuan Zhang; Sunyi Zheng; Zhongyi Shui; Honglin Li 001; Lin Yang 002 (BIBM, 2023)

Exploring Unsupervised Cell Recognition with Prior Self-activation Maps. - Pingyi Chen; Chenglu Zhu; Zhongyi Shui; Jiatong Cai; Sunyi Zheng; Shichuan Zhang; Lin Yang 002 (MICCAI (8), 2023)

Scribble-Based 3D Multiple Abdominal Organ Segmentation via Triple-Branch Multi-Dilated Network with Pixel- and Class-Wise Consistency. - Meng Han; Xiangde Luo; Wenjun Liao; Shichuan Zhang; Shaoting Zhang 001; Guotai Wang (MICCAI (7), 2023)

Deformable Proposal-Aware P2PNet: A Universal Network for Cell Recognition under Point Supervision. - Zhongyi Shui; Sunyi Zheng; Xiaoxuan Yu; Shichuan Zhang; Honglin Li 001; Jingxiong Li; Lin Yang 002 (CoRR, 2023)

Semi-supervised Cell Recognition under Point Supervision. - Zhongyi Shui; Yizhi Zhao; Sunyi Zheng; Yunlong Zhang; Honglin Li 001; Shichuan Zhang; Xiaoxuan Yu; Chenglu Zhu; Lin Yang 002 (CoRR, 2023)

CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation. - Ran Gu; Guotai Wang; Jiangshan Lu; Jingyang Zhang; Wenhui Lei; Yinan Chen; Wenjun Liao; Shichuan Zhang; Kang Li 004; Dimitris N. Metaxas; Shaoting Zhang 001 (Medical Image Anal., 2023)

DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection. - Zhongyi Shui; Sunyi Zheng; Chenglu Zhu; Shichuan Zhang; Xiaoxuan Yu; Honglin Li 001; Jingxiong Li; Pingyi Chen; Lin Yang 002 (AAAI, 2024)

Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels. - Zixia Jia; Junpeng Li; Shichuan Zhang; Anji Liu; Zilong Zheng (ACL (1), 2024)

HLS-FGVC: Hierarchical Label Semantics Enhanced Fine-Grained Visual Classification. - Shichuan Zhang; Sunyi Zheng; Zhongyi Shui; Lin Yang 002 (ICASSP, 2024)

RPL-SFDA: Reliable Pseudo Label-Guided Source-Free Cross-Modality Adaptation for NPC GTV Segmentation. - Xinya Liu; Jianghao Wu 001; Xiangde Luo; Wenjun Liao; Shichuan Zhang; Shaoting Zhang 001; Guotai Wang (ISBI, 2024)

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-Radiotherapy with Pre-Training, Data Augmentation and Dual Flow UNet. - Litingyu Wang; Wenjun Liao; Shichuan Zhang; Guotai Wang (HNTS-MRG@MICCAI, 2024)

Large-scale cervical precancerous screening via AI-assisted cytology whole slide image analysis. - Honglin Li 001; Yuxuan Sun 002; Chenglu Zhu; Yunlong Zhang; Shichuan Zhang; Zhongyi Shui; Pingyi Chen; Jingxiong Li; Sunyi Zheng; Can Cui; Lin Yang 002 (CoRR, 2024)

Weakly Supervised Lymph Nodes Segmentation Based on Partial Instance Annotations with Pre-trained Dual-branch Network and Pseudo Label Learning. - Litingyu Wang; Yijie Qu; Xiangde Luo; Wenjun Liao; Shichuan Zhang; Guotai Wang (CoRR, 2024)

Domain composition and attention network trained with synthesized unlabeled images for generalizable medical image segmentation. - Jiangshan Lu; Ran Gu; Wenjun Liao; Shichuan Zhang; Huijun Yu; Shaoting Zhang 001; Guotai Wang (Neurocomputing, 2024)

DMSPS: Dynamically mixed soft pseudo-label supervision for scribble-supervised medical image segmentation. - Meng Han; Xiangde Luo; Xiangjiang Xie; Wenjun Liao; Shichuan Zhang; Tao Song 002; Guotai Wang; Shaoting Zhang 001 (Medical Image Anal., 2024)

Gradient-aware learning for joint biases: Label noise and class imbalance. - Shichuan Zhang; Chenglu Zhu; Honglin Li 001; Jiatong Cai; Lin Yang 002 (Neural Networks, 2024)

Masked Conditional Variational Autoencoders for Chromosome Straightening. - Jingxiong Li; Sunyi Zheng; Zhongyi Shui; Shichuan Zhang; Linyi Yang; Yuxuan Sun 002; Yunlong Zhang; Honglin Li 001; Yuanxin Ye; Peter M. A. van Ooijen; Kang Li 004; Lin Yang 002 (IEEE Trans. Medical Imaging, 2024)

CLISC: Bridging Clip and SAM by Enhanced CAM for Unsupervised Brain Tumor Segmentation. - Xiaochuan Ma; Jia Fu; Wenjun Liao; Shichuan Zhang; Guotai Wang (ISBI, 2025)

SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. - Xiangde Luo; Jia Fu; Yunxin Zhong; Shuolin Liu; Bing Han; Mehdi Astaraki; Simone Bendazzoli; Iuliana Toma-Dasu; Yiwen Ye; Ziyang Chen 003; Yong Xia 001; Yanzhou Su; et al. (Medical Image Anal., 2025)

Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model. - Zihao Luo; Zijun Gao; Wenjun Liao; Shichuan Zhang; Guotai Wang; Xiangde Luo (CoRR, 2025)

OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models. - Lanfeng Zhong; Xin Liao; Shichuan Zhang; Shaoting Zhang 001; Guotai Wang (CoRR, 2025)