Trustworthy in silico labeling via semantic visual interpretability of image-to-image translation
Lion Ben Nedava, Gad Miller, Nitsan Elmalam, Matheus Palhares Viana, Jianxu Chen, Nathalie Gaudreault, Susanne M. Rafelski, Assaf Zaritsky
The paper introduces Mask Interpreter, a method to improve interpretability of image-to-image translation models, validating biological relevance and identifying artifacts in in silico labeling.
bioRxiv · Aug 17, 2026 · PreprintCell Biology