We stand with Ukraine  

Fang Yan

Orcid: 0009-0004-4216-3876

Affiliations:
  • Shanghai Artificial Intelligence Laboratory, Shanghai, China


According to our database1, Fang Yan authored at least 6 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
PathoDuet: Foundation models for pathological slide analysis of H&E and IHC stains.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
Shengyi Hua
,
Fang Yan
,
Tianle Shen
,
Xiaofan Zhang
CoRR, 2023


  Loading...