1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
Auxiliary CycleGAN-guidance for Task-Aware Domain Translation from Duplex to Monoplex IHC Images
Nicolas Brieu, Nicolas Triltsch, Philipp Wortmann +4
Generative models enable the translation from a source image domain where readily trained models are available to a target domain unseen during training. While Cycle Generative Adv…
cs.CV2022★ 1 cited
Stain Isolation-based Guidance for Improved Stain Translation
Nicolas Brieu, Felix J. Segerer, Ansh Kapil +2
Unsupervised and unpaired domain translation using generative adversarial neural networks, and more precisely CycleGAN, is state of the art for the stain translation of histopathol…