2 citations · 3 across the 3 of their papers we have counts for
3 papers
An in-silico approach to meniscus tissue regeneration: Modeling, numerical simulation, and experimental analysis
Elise Grosjean, Alex Keilmann, Henry Jäger +10
We develop a model the dynamics of human mesenchymal stem cells (hMSCs) and chondrocytes evolving in a nonwoven polyethylene terephtalate (PET) scaffold impregnated with hyaluron a…
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…
Novel Deep Learning Approach to Derive Cytokeratin Expression and Epithelium Segmentation from DAPI
Felix Jakob Segerer, Katharina Nekolla, Lorenz Rognoni +4
Generative Adversarial Networks (GANs) are state of the art for image synthesis. Here, we present dapi2ck, a novel GAN-based approach to synthesize cytokeratin (CK) staining from i…