Fang Yan

According to our database, Fang Yan authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

2025

Cost-effective instruction learning for pathology vision and language analysis.

Kaitao Chen, Mianxin Liu, Fang Yan, Lei Ma, Xiaoming Shi, Lilong Wang, Xiaosong Wang, Lifeng Zhu, Zhe Wang, Mu Zhou, Shaoting Zhang

Nat. Comput. Sci., July, 2025

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification.

Yuan Tian, Shuo Wang, Rongzhao Zhang, Zijian Chen, Yankai Jiang, Chunyi Li, Xiangyang Zhu, Fang Yan, Qiang Hu, Xiaosong Wang, Guangtao Zhai

CoRR, July, 2025

Graph Mamba for Efficient Whole Slide Image Understanding.

Jiaxuan Lu, Junyan Shi, Yuhui Lin, Fang Yan, Yue Gao, Shaoting Zhang, Xiaosong Wang

CoRR, May, 2025

PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks.

Fang Yan, Jianfeng Wu, Jiawen Li, Wei Wang, Jiaxuan Lu, Wen Chen, Zizhao Gao, Jianan Li, Hong Yan, Jiabo Ma, Minda Chen, Yang Lu, Qing Chen, Yizhi Wang, Xitong Ling, Xuenian Wang, Zihan Wang, Qiang Huang, Shengyi Hua, Mianxin Liu, Lei Ma, Tian Shen, Xiaofan Zhang, Yonghong He, Hao Chen, Shaoting Zhang, Zhe Wang

CoRR, March, 2025

2024

PathoDuet: Foundation models for pathological slide analysis of H&E and IHC stains.

Shengyi Hua, Fang Yan, Tianle Shen, Lei Ma, Xiaofan Zhang

Medical Image Anal., 2024

Exploring the Feasibility of Multimodal Chatbot AI as Copilot in Pathology Diagnostics: Generalist Model's Pitfall.

Mianxin Liu, Jianfeng Wu, Fang Yan, Hongjun Li, Wei Wang, Shaoting Zhang, Zhe Wang

CoRR, 2024

Cost-effective Instruction Learning for Pathology Vision and Language Analysis.

Kaitao Chen, Mianxin Liu, Fang Yan, Lei Ma, Xiaoming Shi, Lilong Wang, Xiaosong Wang, Lifeng Zhu, Zhe Wang, Mu Zhou, Shaoting Zhang

CoRR, 2024

PathoTune: Adapting Visual Foundation Model to Pathological Specialists.

Jiaxuan Lu, Fang Yan, Xiaofan Zhang, Yue Gao, Shaoting Zhang

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

2023

Predicting cancer outcomes from whole slide images via hybrid supervision learning.

Xianying He, Jiahui Li, Fang Yan, Linlin Wang, Wen Chen, Xiaodi Huang, Zhiqiang Hu, Qi Duan, Hongsheng Li, Shaoting Zhang, Jie Zhao

Neurocomputing, November, 2023

PathoDuet: Foundation Models for Pathological Slide Analysis of H&E and IHC Stains.

Shengyi Hua, Fang Yan, Tianle Shen, Xiaofan Zhang

CoRR, 2023