Laura Pfaff

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Computer Tomography

Smoothness Constraint

Bilateral Filter

Top Venues

Bildverarbeitung für die Medizin

Publications

Mareike Thies, Noah Maul, Siyuan Mei, Laura Pfaff, Nastassia Vysotskaya, Mingxuan Gu, Jonas Utz, Dennis Possart, Lukas Folle, Fabian Wagner, Andreas Maier
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images. CoRR (2024)
Laura Pfaff, Fabian Wagner, Julian Hossbach, Elisabeth Preuhs, Mareike Thies, Felix Denzinger, Dominik Nickel, Tobias Wüerfl, Andreas K. Maier
Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free Targets. Bildverarbeitung für die Medizin (2024)
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
Abstract: Self-supervised CT Dual Domain Denoising using Low-parameter Models. Bildverarbeitung für die Medizin (2024)
Mareike Thies, Fabian Wagner, Noah Maul, Siyuan Mei, Mingxuan Gu, Laura Pfaff, Nastassia Vysotskaya, Haijun Yu, Andreas Maier
On the Influence of Smoothness Constraints in Computed Tomography Motion Compensation. CoRR (2024)
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
Abstract: Gradient-based Geometry Learning for Fan-beam CT Reconstruction. Bildverarbeitung für die Medizin (2024)
Noah Maul, Katharina Zinn, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Laura Pfaff, Markus Kowarschik, Annette Birkhold, Andreas K. Maier
Abstract: Transient Hemodynamics Prediction using an Efficient Octree-based Deep Learning Model. Bildverarbeitung für die Medizin (2024)
Mareike Thies, Fabian Wagner, Noah Maul, Laura Pfaff, Linda-Sophie Schneider, Christopher Syben, Andreas K. Maier
Optimizing CT Scan Geometries With and Without Gradients. CoRR (2023)
Laura Pfaff, Fabian Wagner, Julian Hossbach, Elisabeth Preuhs, Noah Maul, Mareike Thies, Felix Denzinger, Dominik Nickel, Tobias Würfl, Andreas Maier
Robust Multi-Contrast Mri Denoising Using Trainable Bilateral Filters Without Noise-Free Targets. ISBI (2023)
Noah Maul, Katharina Zinn, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Laura Pfaff, Markus Kowarschik, Annette Birkhold, Andreas K. Maier
Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model. CoRR (2023)
Noah Maul, Katharina Zinn, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Laura Pfaff, Markus Kowarschik, Annette Birkhold, Andreas K. Maier
Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model. IPMI (2023)
Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan B. Ploner, Noah Maul, Laura Pfaff, Yixing Huang, Andreas K. Maier
Abstract: Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT. Bildverarbeitung für die Medizin (2023)
Fabian Wagner, Mareike Thies, Noah Maul, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Christopher Syben, Andreas K. Maier
Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography. CoRR (2023)
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
Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising. IPMI (2023)
Fabian Wagner, Mareike Thies, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Daniela Weidner, Noah Maul, Maximilian Rohleder, Mingxuan Gu, Jonas Utz, Felix Denzinger, Andreas Maier
On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting. ISBI (2023)
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
Gradient-Based Geometry Learning for Fan-Beam CT Reconstruction. CoRR (2022)
Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan B. Ploner, Noah Maul, Laura Pfaff, Yixing Huang, Andreas K. Maier
Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT. CoRR (2022)
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
On the Benefit of Dual-domain Denoising in a Self-supervised Low-dose CT Setting. CoRR (2022)
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 K. Maier
Noise2Contrast: Multi-Contrast Fusion Enables Self-Supervised Tomographic Image Denoising. CoRR (2022)
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
Integrating population data in a computerized Decision Support System for Head and Neck Cancer. BHI (2019)