Anjia Han

According to our database, Anjia Han authored at least 18 papers between 2021 and 2026.

Collaborative distances:

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

2026

Diagnostic text-guided representation learning in hierarchical classification for pathological whole slide image.

Jiawen Li, Qiehe Sun, Renao Yan, Yizhi Wang, Yuqiu Fu, Yani Wei, Tian Guan, Huijuan Shi, Yonghong He, Anjia Han

Medical Image Anal., 2026

Rethinking Slide-Level Adaptation of Pathology Foundation Models.

Jiawen Li, Jiali Hu, Qiehe Sun, Xitong Ling, Yuxuan Chen, Renao Yan, Tian Guan, Anjia Han, Chao He, Yonghong He

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

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, June, 2025

Can We Simplify Slide-level Fine-tuning of Pathology Foundation Models?

Jiawen Li, Jiali Hu, Qiehe Sun, Renao Yan, Minxi Ouyang, Tian Guan, Anjia Han, Chao He, Yonghong He

CoRR, February, 2025

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation.

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

CoRR, February, 2025

Dynamic Hypergraph Representation for Bone Metastasis Cancer Analysis.

Yuxuan Chen, Jiawen Li, Huijuan Shi, Yang Xu, Tian Guan, Lianghui Zhu, Yonghong He, Anjia Han

CoRR, January, 2025

Dynamic hypergraph representation for bone metastasis analysis.

Yuxuan Chen, Jiawen Li, Lianghui Zhu, Yang Xu, Tian Guan, Huijuan Shi, Yonghong He, Anjia Han

Comput. Methods Programs Biomed., 2025

Cross-Modal Prototype Allocation: Unsupervised Slide Representation Learning via Patch-Text Contrast in Computational Pathology.

Yuxuan Chen, Jiawen Li, Jiali Hu, Xitong Ling, Tian Guan, Anjia Han, Yonghong He

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

DeepTree: Pathological Image Classification Through Imitating Tree-Like Strategies of Pathologists.

Jiawen Li, Junru Cheng, Lingqin Meng, Hui Yan, Yonghong He, Huijuan Shi, Tian Guan, Anjia Han

IEEE Trans. Medical Imaging, April, 2024

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation.

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

CoRR, 2024

A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model.

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

CoRR, 2024

RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification.

Hongbo Chu, Qiehe Sun, Jiawen Li, Yuxuan Chen, Lizhong Zhang, Tian Guan, Anjia Han, Yonghong He

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Dynamic Graph Representation with Knowledge-Aware Attention for Histopathology Whole Slide Image Analysis.

Jiawen Li, Yuxuan Chen, Hongbo Chu, Qiehe Sun, Tian Guan, Anjia Han, Yonghong He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation.

Qilai Zhang, Jiawen Li, Peiran Liao, Jiali Hu, Tian Guan, Anjia Han, Yonghong He

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

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

Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection.

Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Anjia Han, Pheng-Ann Heng

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

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

Proceedings of the CCRIS 2022: 3rd International Conference on Control, Robotics and Intelligent System, Virtual Event, China, August 26, 2022

2021

Unpaired Stain Transfer Using Pathology-Consistent Constrained Generative Adversarial Networks.

Shuting Liu, Baochang Zhang, Yiqing Liu, Anjia Han, Huijuan Shi, Tian Guan, Yonghong He

IEEE Trans. Medical Imaging, 2021