Laura Pfaff

According to our database, Laura Pfaff authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Abstract: Self-supervised CT Dual Domain Denoising using Low-parameter Models.

Fabian Wagner, Mareike Thies, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Daniela Weidner, Noah Maul, Maximilian Rohleder, Mingxuan Gu, Jonas Utz, Felix Denzinger, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2024, 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

Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free Targets.

Laura Pfaff, Fabian Wagner, Julian Hossbach, Elisabeth Preuhs, Mareike Thies, Felix Denzinger, Dominik Nickel, Tobias Würfl, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Transient Hemodynamics Prediction using an Efficient Octree-based Deep Learning Model.

Noah Maul, Katharina Zinn, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Laura Pfaff, Markus Kowarschik, Annette Birkhold, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography.

Fabian Wagner, Mareike Thies, Noah Maul, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Christopher Syben, 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

On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting.

Fabian Wagner, Mareike Thies, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Daniela Weidner, Noah Maul, Maximilian Rohleder, Mingxuan Gu, Jonas Utz, Felix Denzinger, Andreas Maier

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Robust Multi-Contrast Mri Denoising Using Trainable Bilateral Filters Without Noise-Free Targets.

Laura Pfaff, Fabian Wagner, Julian Hossbach, Elisabeth Preuhs, Noah Maul, Mareike Thies, Felix Denzinger, Dominik Nickel, Tobias Würfl, Andreas Maier

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising.

Fabian Wagner, Mareike Thies, Laura Pfaff, Noah Maul, Sabrina Pechmann, Mingxuan Gu, Jonas Utz, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Jang Hwan Choi, Andreas Maier

Proceedings of the Information Processing in Medical Imaging, 2023

Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model.

Noah Maul, Katharina Zinn, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Laura Pfaff, Markus Kowarschik, Annette Birkhold, Andreas K. Maier

Proceedings of the Information Processing in Medical Imaging, 2023

Abstract: Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT.

Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan B. Ploner, Noah Maul, Laura Pfaff, Yixing Huang, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2023, 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

Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT.

Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan B. Ploner, Noah Maul, Laura Pfaff, Yixing Huang, Andreas K. Maier

CoRR, 2022

2019

Integrating population data in a computerized Decision Support System for Head and Neck Cancer.

Laura Lopez-Perez, Liss Hernández, Laura Pfaff, Annalisa Trama, Gemma Gatta, Silvia Francisci, Sandra Mallone, Elena Martinelli, Ana M. Ugena, Stefano Cavalieri, Lisa Licitra, María Teresa Arredondo, Giuseppe Fico

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019