Linda-Sophie Schneider

Orcid: 0009-0002-6195-9859

According to our database1, Linda-Sophie Schneider authored at least 24 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Abstract: DRACO - Differentiable Reconstruction for Arbitrary CBCT Orbits.
Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026

Differentiable Approximate Truncation Robust CBCT Reconstruction via Known Operator Learning.
Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026

Interpretable Framework for Zero-shot 4D Low-dose CT Denoising - Filter2Noise-4D.
Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026

2025
An update to PYRO-NN: A Python Library for Differentiable CT Operators.
CoRR, November, 2025

Learning Wavelet-Sparse FDK for 3D Cone-Beam CT Reconstruction.
CoRR, May, 2025

Filter2Noise: Interpretable Self-Supervised Single-Image Denoising for Low-Dose CT with Attention-Guided Bilateral Filtering.
CoRR, April, 2025

A Gradient-Based Approach to Fast and Accurate Head Motion Compensation in Cone-Beam CT.
IEEE Trans. Medical Imaging, February, 2025

Compressibility Analysis for the differentiable shift-variant Filtered Backprojection Model.
CoRR, January, 2025

LSTT: Latent Spatio-Temporal Transformer for Non-rigid Motion Compensation in CBCT.
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.
Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

2024
DRACO: Differentiable Reconstruction for Arbitrary CBCT Orbits.
CoRR, 2024

Modelling of measuring systems - From white box models to cognitive approaches.
CoRR, 2024

Data-driven Modeling in Metrology - A Short Introduction, Current Developments and Future Perspectives.
CoRR, 2024

Application of Gated Recurrent Units for CT Trajectory Optimization.
CoRR, 2024

EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction.
CoRR, 2024

Deep Learning Computed Tomography based on the Defrise and Clack Algorithm.
CoRR, 2024

Integer Optimization of CT Trajectories using a Discrete Data Completeness Formulation.
CoRR, 2024

A 2D Sinogram-Based Approach to Defect Localization in Computed Tomography.
CoRR, 2024

Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series.
CoRR, 2024

A gradient-based approach to fast and accurate head motion compensation in cone-beam CT.
CoRR, 2024

Abstract: Gradient-based Geometry Learning for Fan-beam CT Reconstruction.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
Task-based Generation of Optimized Projection Sets using Differentiable Ranking.
CoRR, 2023

Optimizing CT Scan Geometries With and Without Gradients.
CoRR, 2023

2022
Gradient-Based Geometry Learning for Fan-Beam CT Reconstruction.
CoRR, 2022


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