1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2026★ 1 cited
A protocol for evaluating robustness to H&E staining variation in computational pathology models
Lydia A. Schönpflug, Nikki van den Berg, Sonali Andani +5
Sensitivity to staining variation remains a major barrier to deploying computational pathology (CPath) models as hematoxylin and eosin (H&E) staining varies across laboratories, re…
cs.CV2025
Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology
Boqi Chen, Cédric Vincent-Cuaz, Lydia A. Schoenpflug +12
Vision foundation models (FMs) are accelerating the development of digital pathology algorithms and transforming biomedical research. These models learn, in a self-supervised manne…