Advancing osteoporosis medicine by observing bone microstructure and remodelling using a fourdimensional nanoscope (4-D nanoSCOPE)

Third Party Funds Group - Sub project

Acronym: 4-D nanoSCOPE

Start date : 01.04.2019

End date : 31.03.2025

Overview

Publications

(15)

External partners

(1)

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 Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography (2023) Wagner F, Thies M, Maul N, Pfaff L, Aust O, Pechmann S, Syben C, Maier A Conference contribution, Conference Contribution 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 Optimizing CT Scan Geometries With and Without Gradients (2023) Thies M, Wagner F, Maul N, Pfaff L, Schneider LS, Syben C, Maier A Conference contribution, Original article Deep learning for terahertz image denoising in nondestructive historical document analysis (2022) Dutta B, Root K, Ullmann I, Wagner F, Mayr M, Seuret M, Thies M, et al. Journal article, Original article 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 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

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