Nitsan Elmalam

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.

This paper introduces a context-dependent model, CELTIC, to improve in silico organelle labeling in label-free microscopy images by accounting for cell context, enabling analysis of out-of-distribution data.