52 citations · 74 across the 4 of their papers we have counts for
4 papers
PRISM2: Unlocking Multi-Modal General Pathology AI with Clinical Dialogue
Eugene Vorontsov, George Shaikovski, Adam Casson +16
Recent rapid progress in the field of computational pathology has been enabled by foundation models. These models are beginning to move beyond encoding image patches towards whole-…
Screen Them All: High-Throughput Pan-Cancer Genetic and Phenotypic Biomarker Screening from H&E Whole Slide Images
Yi Kan Wang, Ludmila Tydlitatova, Jeremy D. Kunz +15
Molecular assays are standard of care for detecting genomic alterations in cancer prognosis and therapy selection but are costly, tissue-destructive and time-consuming. Artificial…
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
Eric Zimmermann, Eugene Vorontsov, Julian Viret +11
Foundation models are rapidly being developed for computational pathology applications. However, it remains an open question which factors are most important for downstream perform…
PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology
George Shaikovski, Adam Casson, Kristen Severson +19
Foundation models in computational pathology promise to unlock the development of new clinical decision support systems and models for precision medicine. However, there is a misma…