George Shaikovski
YOU?
Author Swipe
View article: PRISM2: Unlocking Multi-Modal General Pathology AI with Clinical Dialogue
PRISM2: Unlocking Multi-Modal General Pathology AI with Clinical Dialogue Open
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-slide understanding but their clinical utility remains limi…
View article: Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology Open
Foundation models are rapidly being developed for computational pathology applications. However, it remains an open question which factors are most important for downstream performance with data scale and diversity, model size, and trainin…
View article: A foundation model for clinical-grade computational pathology and rare cancers detection
A foundation model for clinical-grade computational pathology and rare cancers detection Open
The analysis of histopathology images with artificial intelligence aims to enable clinical decision support systems and precision medicine. The success of such applications depends on the ability to model the diverse patterns observed in p…
View article: PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology
PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology Open
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 mismatch between most clinical analysis, which is defined at the…
View article: Adapting Self-Supervised Learning for Computational Pathology
Adapting Self-Supervised Learning for Computational Pathology Open
Self-supervised learning (SSL) has emerged as a key technique for training networks that can generalize well to diverse tasks without task-specific supervision. This property makes SSL desirable for computational pathology, the study of di…
View article: Virchow: A Million-Slide Digital Pathology Foundation Model
Virchow: A Million-Slide Digital Pathology Foundation Model Open
The use of artificial intelligence to enable precision medicine and decision support systems through the analysis of pathology images has the potential to revolutionize the diagnosis and treatment of cancer. Such applications will depend o…