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ORCIDLaura Pfaff
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2020 – today
- 2024
[c12]Laura Pfaff, Fabian Wagner, Julian Hossbach, Elisabeth Preuhs, Mareike Thies, Felix Denzinger, Dominik Nickel, Tobias Würfl, Andreas K. Maier:
Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free Targets. Bildverarbeitung für die Medizin 2024: 26- [c11]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: 159 - [c10]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: 204 - [c9]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: 362 - [c8]Mareike Thies
, Noah Maul, Siyuan Mei, Laura Pfaff, Nastassia Vysotskaya, Mingxuan Gu, Jonas Utz, Dennis Possart, Lukas Folle, Fabian Wagner, Andreas K. Maier:
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images. MICCAI (7) 2024: 253-263 - [c7]Laura Pfaff, Fabian Wagner, Nastassia Vysotskaya, Mareike Thies, Noah Maul, Siyuan Mei, Tobias Würfl, Andreas K. Maier:
No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising. MICCAI (10) 2024: 568-578 - [i9]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 abs/2404.14747 (2024) - [i8]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 abs/2405.19079 (2024) - 2023
- [c6]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: 63 - [c5]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: 183-194 - [c4]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: 771-782 - [c3]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: 1-5 - [c2]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: 1-5 - [i7]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 abs/2302.06251 (2023) - [i6]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 abs/2302.06436 (2023) - [i5]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 abs/2302.06557 (2023) - 2022
- [i4]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 abs/2207.07368 (2022) - [i3]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 abs/2211.01111 (2022) - [i2]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 abs/2212.02177 (2022) - [i1]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 abs/2212.04832 (2022)
2010 – 2019
- 2019
- [c1]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: 1-4
Coauthor Index
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