3 papers
cs.CV2026
Robustifying pathology foundation models via fine-tuning
Alexandre Filiot, Oskar Thaeter, Benoit Schmauch +1
Pathology foundation models (FMs) produce powerful tile-level representations which remain sensitive to scanner and staining variability, undermining deployment across laboratories…
cs.CV2026
CytoSyn: a Foundation Diffusion Model for Histopathology -- Tech Report
Thomas Duboudin, Xavier Fontaine, Etienne Andrier +7
Computational pathology has made significant progress in recent years, fueling advances in both fundamental disease understanding and clinically ready tools. This evolution is driv…
cs.CV2025
Distilling foundation models for robust and efficient models in digital pathology
Alexandre Filiot, Nicolas Dop, Oussama Tchita +8
In recent years, the advent of foundation models (FM) for digital pathology has relied heavily on scaling the pre-training datasets and the model size, yielding large and powerful…