Anjia Han - RankMe

22 papers A* 1Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diagnostic text-guided representation learning in hierarchical classification for pathological whole slide image. Medical Image Anal. Jiawen Li, Qiehe Sun, Renao Yan, Yizhi Wang, Yuqiu Fu, Yani Wei, Tian Guan, Huijuan Shi, Yonghong He, Anjia Han
2025	J	`jnl`	Can We Simplify Slide-level Fine-tuning of Pathology Foundation Models? CoRR Jiawen Li, Jiali Hu, Qiehe Sun, Renao Yan, Minxi Ouyang, Tian Guan, Anjia Han, Chao He, Yonghong He
2025	—	`conf`	Cross-Modal Prototype Allocation: Unsupervised Slide Representation Learning via Patch-Text Contrast in Computational Pathology. BIBM Yuxuan Chen, Jiawen Li, Jiali Hu, Xitong Ling, Tian Guan, Anjia Han, Yonghong He
2025	J	`jnl`	Cross-Modal Prototype Allocation: Unsupervised Slide Representation Learning via Patch-Text Contrast in Computational Pathology. CoRR Yuxuan Chen, Jiawen Li, Jiali Hu, Xitong Ling, Tian Guan, Anjia Han, Yonghong He
2025	J	`jnl`	Dynamic Hypergraph Representation for Bone Metastasis Cancer Analysis. CoRR Yuxuan Chen, Jiawen Li, Huijuan Shi, Yang Xu, Tian Guan, Lianghui Zhu, Yonghong He, Anjia Han
2025	J	`jnl`	Dynamic hypergraph representation for bone metastasis analysis. Comput. Methods Programs Biomed. Yuxuan Chen, Jiawen Li, Lianghui Zhu, Yang Xu, Tian Guan, Huijuan Shi, Yonghong He, Anjia Han
2025	J	`jnl`	Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation. CoRR Hao Jiang, Cheng Jin, Huangjing Lin, Yanning Zhou, Xi Wang, Jiabo Ma, Li Ding, Jun Hou, Runsheng Liu, Zhizhong Chai, Luyang Luo, Huijuan Shi, Yinling Qian, Qiong Wang, Changzhong Li, Anjia Han, Ronald Cheong Kin Chan, Hao Chen
2025	J	`jnl`	Hierarchically Optimized Multiple Instance Learning With Multi-Magnification Pathological Images for Cerebral Tumor Diagnosis. IEEE J. Biomed. Health Informatics Lianghui Zhu, Renao Yan, Tian Guan, Fenfen Zhang, Linlang Guo, Qiming He, Shanshan Shi, Huijuan Shi, Yonghong He, Anjia Han
2024	J	`jnl`	A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model. CoRR Yingxue Xu, Yihui Wang, Fengtao Zhou, Jiabo Ma, Shu Yang, Huangjing Lin, Xin Wang, Jiguang Wang, Li Liang, Anjia Han, Ronald Cheong Kin Chan, Hao Chen
2024	J	`jnl`	DeepTree: Pathological Image Classification Through Imitating Tree-Like Strategies of Pathologists. IEEE Trans. Medical Imaging Jiawen Li, Junru Cheng, Lingqin Meng, Hui Yan, Yonghong He, Huijuan Shi, Tian Guan, Anjia Han
2024	J	`jnl`	Diagnostic Text-guided Representation Learning in Hierarchical Classification for Pathological Whole Slide Image. CoRR Jiawen Li, Qiehe Sun, Renao Yan, Yizhi Wang, Yuqiu Fu, Yani Wei, Tian Guan, Huijuan Shi, Yonghong He, Anjia Han
2024	A*	`conf`	Dynamic Graph Representation with Knowledge-Aware Attention for Histopathology Whole Slide Image Analysis. CVPR Jiawen Li, Yuxuan Chen, Hongbo Chu, Qiehe Sun, Tian Guan, Anjia Han, Yonghong He
2024	J	`jnl`	Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis. CoRR Jiawen Li, Yuxuan Chen, Hongbo Chu, Qiehe Sun, Tian Guan, Anjia Han, Yonghong He
2024	—	`conf`	Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation. BIBM Qilai Zhang, Jiawen Li, Peiran Liao, Jiali Hu, Tian Guan, Anjia Han, Yonghong He
2024	J	`jnl`	Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation. CoRR Qilai Zhang, Jiawen Li, Peiran Liao, Jiali Hu, Tian Guan, Anjia Han, Yonghong He
2024	—	`conf`	RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification. MICCAI (4) Hongbo Chu, Qiehe Sun, Jiawen Li, Yuxuan Chen, Lizhong Zhang, Tian Guan, Anjia Han, Yonghong He
2024	J	`jnl`	RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification. CoRR Hongbo Chu, Qiehe Sun, Jiawen Li, Yuxuan Chen, Lizhong Zhang, Tian Guan, Anjia Han, Yonghong He
2024	J	`jnl`	Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation. CoRR Jiabo Ma, Zhengrui Guo, Fengtao Zhou, Yihui Wang, Yingxue Xu, Yu Cai, Zhengjie Zhu, Cheng Jin, Yi Lin, Xinrui Jiang, Anjia Han, Li Liang, Ronald Cheong Kin Chan, Jiguang Wang, Kwang-Ting Cheng, Hao Chen
2022	—	`conf`	A Domain Adaptive and Label-efficient Deep Learning Method for Ki-67 Scoring in Infiltrative Breast Ductal Carcinoma Cells. CCRIS Yiqing Liu, Hufei Duan, Huijuan Shi, Yuxin Ni, Xin Wang, Anjia Han, Yonghong He
2022	—	`conf`	Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. ISBI Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Anjia Han, Pheng-Ann Heng
2022	J	`jnl`	Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images. Sensors Yiqing Liu, Qiming He, Hufei Duan, Huijuan Shi, Anjia Han, Yonghong He
2021	J	`jnl`	Unpaired Stain Transfer Using Pathology-Consistent Constrained Generative Adversarial Networks. IEEE Trans. Medical Imaging Shuting Liu, Baochang Zhang, Yiqing Liu, Anjia Han, Huijuan Shi, Tian Guan, Yonghong He