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 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 Monte Carlo Dose Simulation for In-Vivo X-Ray Nanoscopy (2022) Wagner F, Thies M, Karolczak M, Pechmann S, Huang Y, Gu M, Kling L, et al. Conference contribution