Mingxuan Gu

Lehrstuhl für Informatik 5 (Mustererkennung)

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 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 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 Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation (2022) Gu M, Vesal S, Kosti RV, Maier A Conference contribution