Mingxuan Gu

Lehrstuhl für Informatik 5 (Mustererkennung)

Unsupervised Super Resolution in X-ray Microscopy using a Cycle-consistent Generative Model (2023) Raghunath A, Wagner F, Thies M, Gu M, Pechmann S, Aust O, Weidner D, et al. Conference contribution Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN (2023) Utz J, Weise T, Schlereth M, Wagner F, Thies M, Gu M, Uderhardt S, Breininger K Conference contribution Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae (2023) Gu M, Thies M, Wagner F, Pechmann S, Aust O, Weidner D, Neag G, et al. Conference contribution On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting (2023) Wagner F, Thies M, Pfaff L, Aust O, Pechmann S, Weidner D, Maul N, et al. Conference contribution McLabel: A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy (2023) Utz J, Schlereth M, Qiu J, Thies M, Wagner F, Brahim OB, Gu M, et al. Conference contribution Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising (2023) Wagner F, Thies M, Pfaff L, Maul N, Pechmann S, Gu M, Utz J, et al. Conference contribution Trainable joint bilateral filters for enhanced prediction stability in low-dose CT (2022) Wagner F, Thies M, Denzinger F, Gu M, Patwari M, Ploner S, Maul N, et al. Journal article Calibration by differentiation – Self-supervised calibration for X-ray microscopy using a differentiable cone-beam reconstruction operator (2022) Thies M, Wagner F, Huang Y, Gu M, Kling L, Pechmann S, Aust O, et al. Journal article, Original article Ultra low‐parameter denoising: Trainable bilateral filter layers in computed tomography (2022) Wagner F, Thies M, Gu M, Huang Y, Pechmann S, Patwari M, Ploner S, et al. Journal article, Original article Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations (2022) Thies M, Wagner F, Gu M, Folle L, Felsner L, Maier A Conference contribution, Abstract of lecture