Linda-Sophie Schneider

According to our database, Linda-Sophie Schneider authored at least 20 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Learning Wavelet-Sparse FDK for 3D Cone-Beam CT Reconstruction.

Yipeng Sun, Linda-Sophie Schneider, Chengze Ye, Mingxuan Gu, Siyuan Mei, Siming Bayer, Andreas K. Maier

CoRR, May, 2025

Filter2Noise: Interpretable Self-Supervised Single-Image Denoising for Low-Dose CT with Attention-Guided Bilateral Filtering.

Yipeng Sun, Linda-Sophie Schneider, Mingxuan Gu, Siyuan Mei, Chengze Ye, Fabian Wagner, Siming Bayer, Andreas K. Maier

CoRR, April, 2025

A Gradient-Based Approach to Fast and Accurate Head Motion Compensation in Cone-Beam CT.

Mareike Thies, Fabian Wagner, Noah Maul, Haijun Yu, Manuela Goldmann, Linda-Sophie Schneider, Mingxuan Gu, Siyuan Mei, Lukas Folle, Alexander Preuhs, Michael Manhart, Andreas K. Maier

IEEE Trans. Medical Imaging, February, 2025

Compressibility Analysis for the differentiable shift-variant Filtered Backprojection Model.

Chengze Ye, Linda-Sophie Schneider, Yipeng Sun, Mareike Thies, Andreas K. Maier

CoRR, January, 2025

LSTT: Latent Spatio-Temporal Transformer for Non-rigid Motion Compensation in CBCT.

Yipeng Sun, Linda-Sophie Schneider, Annette Schwarz, Mingxuan Gu, Siyuan Mei, Chengze Ye, Siming Bayer, Andreas K. Maier

Proceedings of the Reconstruction and Imaging Motion Estimation, and Graphs in Biomedical Image Analysis, 2025

Learned Shift-variant CBCT Reconstruction Weights for Non-continuous Trajectories.

Chengze Ye, Linda-Sophie Schneider, Yipeng Sun, Mareike Thies, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

2024

DRACO: Differentiable Reconstruction for Arbitrary CBCT Orbits.

Chengze Ye, Linda-Sophie Schneider, Yipeng Sun, Mareike Thies, Siyuan Mei, Andreas Maier

CoRR, 2024

Modelling of measuring systems - From white box models to cognitive approaches.

Nadine Schiering, Sascha Eichstädt, Michael Heizmann, Wolfgang Koch, Linda-Sophie Schneider, Stephan Scheele, Klaus-Dieter Sommer

CoRR, 2024

Data-driven Modeling in Metrology - A Short Introduction, Current Developments and Future Perspectives.

Linda-Sophie Schneider, Patrick Krauss, Nadine Schiering, Christopher Syben, Richard Schielein, Andreas Maier

CoRR, 2024

Application of Gated Recurrent Units for CT Trajectory Optimization.

Yuedong Yuan, Linda-Sophie Schneider, Andreas K. Maier

CoRR, 2024

EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction.

Yipeng Sun, Yixing Huang, Linda-Sophie Schneider, Mareike Thies, Mingxuan Gu, Siyuan Mei, Siming Bayer, Andreas K. Maier

CoRR, 2024

Deep Learning Computed Tomography based on the Defrise and Clack Algorithm.

Chengze Ye, Linda-Sophie Schneider, Yipeng Sun, Andreas K. Maier

CoRR, 2024

Integer Optimization of CT Trajectories using a Discrete Data Completeness Formulation.

Linda-Sophie Schneider, Gabriel Herl, Andreas K. Maier

CoRR, 2024

A 2D Sinogram-Based Approach to Defect Localization in Computed Tomography.

Yuzhong Zhou, Linda-Sophie Schneider, Fuxin Fan, Andreas K. Maier

CoRR, 2024

Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series.

Yipeng Sun, Linda-Sophie Schneider, Fuxin Fan, Mareike Thies, Mingxuan Gu, Siyuan Mei, Yuzhong Zhou, Siming Bayer, Andreas K. Maier

CoRR, 2024

A gradient-based approach to fast and accurate head motion compensation in cone-beam CT.

Mareike Thies, Fabian Wagner, Noah Maul, Haijun Yu, Manuela Meier, Linda-Sophie Schneider, Mingxuan Gu, Siyuan Mei, Lukas Folle, Andreas K. Maier

CoRR, 2024

Abstract: Gradient-based Geometry Learning for Fan-beam CT Reconstruction.

Mareike Thies, Fabian Wagner, Noah Maul, Lukas Folle, Manuela Meier, Maximilian Rohleder, Linda-Sophie Schneider, Laura Pfaff, Mingxuan Gu, Jonas Utz, Felix Denzinger, Michael Manhart, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Task-based Generation of Optimized Projection Sets using Differentiable Ranking.

Linda-Sophie Schneider, Mareike Thies, Christopher Syben, Richard Schielein, Mathias Unberath, Andreas K. Maier

CoRR, 2023

Optimizing CT Scan Geometries With and Without Gradients.

Mareike Thies, Fabian Wagner, Noah Maul, Laura Pfaff, Linda-Sophie Schneider, Christopher Syben, Andreas K. Maier

CoRR, 2023

2022

Gradient-Based Geometry Learning for Fan-Beam CT Reconstruction.

Mareike Thies, Fabian Wagner, Noah Maul, Lukas Folle, Manuela Meier, Maximilian Rohleder, Linda-Sophie Schneider, Laura Pfaff, Mingxuan Gu, Jonas Utz, Felix Denzinger, Michael Manhart, Andreas K. Maier

CoRR, 2022