Mingxuan Gu

Lehrstuhl für Informatik 5 (Mustererkennung)

A gradient-based approach to fast and accurate head motion compensation in cone-beam CT (2024) Thies M, Wagner F, Maul N, Yu H, Goldmann M, Schneider LS, Gu M, et al. Journal article Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images (2024) Thies M, Maul N, Mei S, Pfaff L, Vysotskaya N, Gu M, Utz J, et al. Conference contribution Segmentation-Guided Knee Radiograph Generation using Conditional Diffusion Models (2024) Mei S, Fan F, Wagner F, Thies M, Gu M, Sun Y, Maier A Conference contribution Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series (2024) Sun Y, Schneider LS, Fan F, Thies M, Gu M, Mei S, Zhou Y, et al. Conference contribution, Conference Contribution 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, Conference Contribution On the influence of smoothness constraints in computed tomography motion compensation (2024) Thies M, Wagner F, Maul N, Mei S, Gu M, Pfaff L, Vysotskaya N, et al. Conference contribution, Original article 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 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