Search Results for author: Nicolas Triltsch

Found 2 papers, 0 papers with code

Auxiliary CycleGAN-guidance for Task-Aware Domain Translation from Duplex to Monoplex IHC Images

no code implementations12 Mar 2024 Nicolas Brieu, Nicolas Triltsch, Philipp Wortmann, Dominik Winter, Shashank Saran, Marlon Rebelatto, Günter Schmidt

Generative models enable the translation from a source image domain where readily trained models are available to a target domain unseen during training.

Translation

ReStainGAN: Leveraging IHC to IF Stain Domain Translation for in-silico Data Generation

no code implementations11 Mar 2024 Dominik Winter, Nicolas Triltsch, Philipp Plewa, Marco Rosati, Thomas Padel, Ross Hill, Markus Schick, Nicolas Brieu

The creation of in-silico datasets can expand the utility of existing annotations to new domains with different staining patterns in computational pathology.

Cannot find the paper you are looking for? You can Submit a new open access paper.