Mingxuan Gu

Lehrstuhl für Informatik 5 (Mustererkennung)

Exploring Epipolar Consistency Conditions for Rigid Motion Compensation in In-vivo X-ray Microscopy (2024) Thies M, Wagner F, Gu M, Mei S, Huang Y, Pechmann S, Aust O, et al. Conference contribution Gradient-based geometry learning for fan-beam CT reconstruction (2023) Thies M, Wagner F, Maul N, Folle L, Meier M, Rohleder M, Schneider LS, et al. Journal article, Original article 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 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 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 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