2 papers
cs.CV2026
CoralBay: A Self-Supervised CT Foundation Model
Ioannis Gatopoulos, Nicolas Känzig, Sebastian Otálora +1
Self-supervised learning has enabled large-scale pre-training on 2D natural images, producing general-purpose visual representations that transfer effectively across tasks. However…
cs.CV2025
Training state-of-the-art pathology foundation models with orders of magnitude less data
Mikhail Karasikov, Joost van Doorn, Nicolas Känzig +5
The field of computational pathology has recently seen rapid advances driven by the development of modern vision foundation models (FMs), typically trained on vast collections of p…