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Domain Adaptation-Based Deep Learning for Automated Tumor Cell (TC) Scoring and Survival Analysis on PD-L1 Stained Tissue Images., , , , , , , , , and 4 other author(s). IEEE Trans. Medical Imaging, 40 (9): 2513-2523 (2021)DASGAN - Joint Domain Adaptation and Segmentation for the Analysis of Epithelial Regions in Histopathology PD-L1 Images., , , , , , , and . CoRR, (2019)Automated Whole Slide Analysis of Differently Stained and Co-Registered Tissue Sections., , , , , and . Bildverarbeitung für die Medizin, page 407-412. Springer, (2015)Stain Isolation-based Guidance for Improved Stain Translation., , , , and . CoRR, (2022)Domain Adaptation-based Augmentation for Weakly Supervised Nuclei Detection., , , , , , and . CoRR, (2019)Graph-based description of tertiary lymphoid organs at single-cell level., , , , , , , and . PLoS Comput. Biol., (2020)Auxiliary CycleGAN-guidance for Task-Aware Domain Translation from Duplex to Monoplex IHC Images., , , , , , and . CoRR, (2024)ReStainGAN: Leveraging IHC to IF Stain Domain Translation for in-silico Data Generation., , , , , , , and . CoRR, (2024)