Linda-Sophie Schneider

According to our database, Linda-Sophie Schneider authored at least 10 papers between 2022 and 2024.

Collaborative distances:

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

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