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Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN., , , , , , , и . ICCV (Workshops), стр. 3858-3866. IEEE, (2023)Abstract: Gradient-based Geometry Learning for Fan-beam CT Reconstruction., , , , , , , , , и 3 other автор(ы). Bildverarbeitung für die Medizin, стр. 204. Springer, (2024)Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising., , , , , , , , , и 3 other автор(ы). IPMI, том 13939 из Lecture Notes in Computer Science, стр. 771-782. Springer, (2023)Gradient-Based Geometry Learning for Fan-Beam CT Reconstruction., , , , , , , , , и 3 other автор(ы). CoRR, (2022)On the Benefit of Dual-domain Denoising in a Self-supervised Low-dose CT Setting., , , , , , , , , и 2 other автор(ы). CoRR, (2022)On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting., , , , , , , , , и 2 other автор(ы). ISBI, стр. 1-5. IEEE, (2023)McLabel - A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy., , , , , , , , и . Bildverarbeitung für die Medizin, стр. 82-87. Springer, (2023)Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae., , , , , , , , , и 3 other автор(ы). Bildverarbeitung für die Medizin, стр. 254-259. Springer, (2023)Abstract: Self-supervised CT Dual Domain Denoising using Low-parameter Models., , , , , , , , , и 2 other автор(ы). Bildverarbeitung für die Medizin, стр. 159. Springer, (2024)Noise2Contrast: Multi-Contrast Fusion Enables Self-Supervised Tomographic Image Denoising., , , , , , , , , и 3 other автор(ы). CoRR, (2022)