3 citations · 4 across the 6 of their papers we have counts for
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cs.CV2025
PathFound: An Agentic Multimodal Model Activating Evidence-seeking Pathological Diagnosis
Shengyi Hua, Jianfeng Wu, Tianle Shen +7
Recent pathological foundation models have substantially advanced visual representation learning and multimodal interaction. However, most models still rely on a static inference p…
cs.CV2025★ 1 cited
PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks
Fang Yan, Jianfeng Wu, Jiawen Li +24
The complexity and variability inherent in high-resolution pathological images present significant challenges in computational pathology. While pathology foundation models leveragi…
cs.CV2023★ 3 cited
PathoDuet: Foundation Models for Pathological Slide Analysis of H&E and IHC Stains
Shengyi Hua, Fang Yan, Tianle Shen +2
Large amounts of digitized histopathological data display a promising future for developing pathological foundation models via self-supervised learning methods. Foundation models p…