Unpaired Stain Transfer Using Pathology-Consistent Constrained Generative Adversarial Networks. - Shuting Liu; Baochang Zhang 003; Yiqing Liu; Anjia Han; Huijuan Shi; Tian Guan; Yonghong He (IEEE Trans. Medical Imaging, 2021)

A Domain Adaptive and Label-efficient Deep Learning Method for Ki-67 Scoring in Infiltrative Breast Ductal Carcinoma Cells. - Yiqing Liu; Hufei Duan; Huijuan Shi; Yuxin Ni; Xin Wang; Anjia Han; Yonghong He (CCRIS, 2022)

Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. - Zhizhong Chai; Luyang Luo; Huangjing Lin; Hao Chen 011; Anjia Han; Pheng-Ann Heng (ISBI, 2022)

Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images. - Yiqing Liu; Qiming He; Hufei Duan; Huijuan Shi; Anjia Han; Yonghong He (Sensors, 2022)

Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation. - Qilai Zhang; Jiawen Li 005; Peiran Liao; Jiali Hu; Tian Guan; Anjia Han; Yonghong He (BIBM, 2024)

Dynamic Graph Representation with Knowledge-Aware Attention for Histopathology Whole Slide Image Analysis. - Jiawen Li 005; Yuxuan Chen; Hongbo Chu; Qiehe Sun; Tian Guan; Anjia Han; Yonghong He (CVPR, 2024)

RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification. - Hongbo Chu; Qiehe Sun; Jiawen Li 005; Yuxuan Chen; Lizhong Zhang; Tian Guan; Anjia Han; Yonghong He (MICCAI (4), 2024)

A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model. - Yingxue Xu; Yihui Wang 002; Fengtao Zhou; Jiabo Ma; Shu Yang 004; Huangjing Lin; Xin Wang; Jiguang Wang; Li Liang; Anjia Han; Ronald Cheong Kin Chan; Hao Chen 011 (CoRR, 2024)

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation. - Jiabo Ma; Zhengrui Guo; Fengtao Zhou; Yihui Wang 002; Yingxue Xu; Yu Cai 005; Zhengjie Zhu; Cheng Jin 003; Yi Lin 009; Xinrui Jiang; Anjia Han; Li Liang; et al. (CoRR, 2024)

Diagnostic Text-guided Representation Learning in Hierarchical Classification for Pathological Whole Slide Image. - Jiawen Li 005; Qiehe Sun; Renao Yan; Yizhi Wang; Yuqiu Fu; Yani Wei; Tian Guan; Huijuan Shi; Yonghong He; Anjia Han (CoRR, 2024)

DeepTree: Pathological Image Classification Through Imitating Tree-Like Strategies of Pathologists. - Jiawen Li 005; Junru Cheng; Lingqin Meng; Hui Yan; Yonghong He; Huijuan Shi; Tian Guan; Anjia Han (IEEE Trans. Medical Imaging, 2024)

Dynamic hypergraph representation for bone metastasis analysis. - Yuxuan Chen; Jiawen Li 005; Lianghui Zhu; Yang Xu; Tian Guan; Huijuan Shi; Yonghong He; Anjia Han (Comput. Methods Programs Biomed., 2025)

Dynamic Hypergraph Representation for Bone Metastasis Cancer Analysis. - Yuxuan Chen; Jiawen Li 005; Huijuan Shi; Yang Xu; Tian Guan; Lianghui Zhu; Yonghong He; Anjia Han (CoRR, 2025)

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation. - Hao Jiang 028; Cheng Jin 003; Huangjing Lin; Yanning Zhou 001; Xi Wang 013; Jiabo Ma; Li Ding; Jun Hou; Runsheng Liu; Zhizhong Chai; Luyang Luo; Huijuan Shi; et al. (CoRR, 2025)

Can We Simplify Slide-level Fine-tuning of Pathology Foundation Models? - Jiawen Li 005; Jiali Hu; Qiehe Sun; Renao Yan; Minxi Ouyang; Tian Guan; Anjia Han; Chao He; Yonghong He (CoRR, 2025)

Cross-Modal Prototype Allocation: Unsupervised Slide Representation Learning via Patch-Text Contrast in Computational Pathology. - Yuxuan Chen; Jiawen Li 005; Jiali Hu; Xitong Ling; Tian Guan; Anjia Han; Yonghong He (CoRR, 2025)

Hierarchically Optimized Multiple Instance Learning With Multi-Magnification Pathological Images for Cerebral Tumor Diagnosis. - Lianghui Zhu; Renao Yan; Tian Guan; Fenfen Zhang; Linlang Guo; Qiming He; Shanshan Shi; Huijuan Shi; Yonghong He; Anjia Han (IEEE J. Biomed. Health Informatics, 2025)