19 citations · 32 across the 3 of their papers we have counts for
4 papers · 1 filter
Data-Efficient Multimodal Alignment for Histopathology-based Molecular Prediction
Dominik Winter, Dominik Vonficht, Loïc Le Bescond +6
H&E-stained whole-slide images offer cohort-scale availability and rich spatial context but lack molecular specificity, whereas bulk RNA-seq provides transcriptome-wide resolution…
ReStainGAN: Leveraging IHC to IF Stain Domain Translation for in-silico Data Generation
Dominik Winter, Nicolas Triltsch, Philipp Plewa +5
The creation of in-silico datasets can expand the utility of existing annotations to new domains with different staining patterns in computational pathology. As such, it has the po…
Domain Adaptation-based Augmentation for Weakly Supervised Nuclei Detection
Nicolas Brieu, Armin Meier, Ansh Kapil +4
The detection of nuclei is one of the most fundamental components of computational pathology. Current state-of-the-art methods are based on deep learning, with the prerequisite tha…
DASGAN -- Joint Domain Adaptation and Segmentation for the Analysis of Epithelial Regions in Histopathology PD-L1 Images
Ansh Kapil, Tobias Wiestler, Simon Lanzmich +5
The analysis of the tumor environment on digital histopathology slides is becoming key for the understanding of the immune response against cancer, supporting the development of no…