Fang Yan

Orcid: 0009-0004-4216-3876

Affiliations:
  • Shanghai Artificial Intelligence Laboratory, Shanghai, China


According to our database1, Fang Yan authored at least 12 papers between 2023 and 2026.

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

2026
Rank-aware agglomeration of foundation models for immunohistochemistry image cell counting.
Medical Image Anal., 2026

2025
Cost-effective instruction learning for pathology vision and language analysis.
Nat. Comput. Sci., July, 2025

Graph Mamba for Efficient Whole Slide Image Understanding.
CoRR, May, 2025

PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks.
CoRR, March, 2025

PathOrchestra: a comprehensive foundation model for computational pathology with over 100 diverse clinical-grade tasks.
npj Digit. Medicine, 2025

Semantics Versus Identity: A Divide-and-Conquer Approach Towards Adjustable Medical Image De-Identification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
PathoDuet: Foundation models for pathological slide analysis of H&E and IHC stains.
Medical Image Anal., 2024

Exploring the Feasibility of Multimodal Chatbot AI as Copilot in Pathology Diagnostics: Generalist Model's Pitfall.
CoRR, 2024

Cost-effective Instruction Learning for Pathology Vision and Language Analysis.
CoRR, 2024

PathoTune: Adapting Visual Foundation Model to Pathological Specialists.
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.
Neurocomputing, November, 2023

PathoDuet: Foundation Models for Pathological Slide Analysis of H&E and IHC Stains.
CoRR, 2023


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