412 citations · 795 across the 22 of their papers we have counts for
5 papers · 1 filter
Leveraging Foundation Models for Histological Grading in Cutaneous Squamous Cell Carcinoma using PathFMTools
Abdul Rahman Diab, Emily E. Karn, Renchin Wu +2
Despite the promise of computational pathology foundation models, adapting them to specific clinical tasks remains challenging due to the complexity of whole-slide image (WSI) proc…
Simulating Clinical AI Assistance using Multimodal LLMs: A Case Study in Diabetic Retinopathy
Nadim Barakat, William Lotter
Diabetic retinopathy (DR) is a leading cause of blindness worldwide, and AI systems can expand access to fundus photography screening. Current FDA-cleared systems primarily provide…
Beyond Diagnosis: Evaluating Multimodal LLMs for Pathology Localization in Chest Radiographs
Advait Gosai, Arun Kavishwar, Stephanie L. McNamara +4
Recent work has shown promising performance of frontier large language models (LLMs) and their multimodal counterparts in medical quizzes and diagnostic tasks, highlighting their p…
Comparing Computational Pathology Foundation Models using Representational Similarity Analysis
Vaibhav Mishra, William Lotter
Foundation models are increasingly developed in computational pathology (CPath) given their promise in facilitating many downstream tasks. While recent studies have evaluated task…
AdvDINO: Domain-Adversarial Self-Supervised Representation Learning for Spatial Proteomics
Stella Su, Marc Harary, Scott J. Rodig +1
Self-supervised learning (SSL) has emerged as a powerful approach for learning visual representations without manual annotations. However, the robustness of standard SSL methods to…