2 citations · 2 across the 3 of their papers we have counts for
3 papers
Sparse concept attribution for histomorphological hypothesis generation from whole-slide classifiers
Tristan Lazard, Kenza Bouzid, Julius Hense +6
Histology images contain rich morphological information and can provide insights into pathological processes. However, deriving hypotheses relating morphological phenotypes to clin…
NOVA: An Agentic Framework for Automated Histopathology Analysis and Discovery
Anurag J. Vaidya, Felix Meissen, Daniel C. Castro +7
Digitized histopathology analysis involves complex, time-intensive workflows and specialized expertise, limiting its accessibility. We introduce NOVA, an agentic framework that tra…
Giga-SSL: Self-Supervised Learning for Gigapixel Images
Tristan Lazard, Marvin Lerousseau, Etienne Decencière +1
Whole slide images (WSI) are microscopy images of stained tissue slides routinely prepared for diagnosis and treatment selection in medical practice. WSI are very large (gigapixel…