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; et al. (BHI, 2019)

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)

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 001; et al. (CoRR, 2022)

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 (Bildverarbeitung für die Medizin, 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 (IPMI, 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 001; et al. (IPMI, 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 001 (ISBI, 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 001 (ISBI, 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)

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)

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 (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 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 001; et al. (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 2024)

Virtual DSA for Learning Contrast Agent Dynamics in Projection Space. - Noah Maul; Annette Birkhold; Mareike Thies; Nastassia Vysotskaya; Fabian Wagner; Laura Pfaff; Markus Kowarschik; Andreas K. Maier (SWITCH/ISLES@MICCAI, 2024)

No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising. - Laura Pfaff; Fabian Wagner; Nastassia Vysotskaya; Mareike Thies; Noah Maul; Siyuan Mei; Tobias Würfl; Andreas K. Maier (MICCAI (10), 2024)

Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images. - Mareike Thies; Noah Maul; Siyuan Mei; Laura Pfaff; Nastassia Vysotskaya; Mingxuan Gu; Jonas Utz; Dennis Possart; Lukas Folle; Fabian Wagner; Andreas K. Maier (MICCAI (7), 2024)

On the Influence of Smoothness Constraints in Computed Tomography Motion Compensation. - Mareike Thies; Fabian Wagner; Noah Maul; Siyuan Mei; Mingxuan Gu; Laura Pfaff; Nastassia Vysotskaya; Haijun Yu; Andreas Maier 001 (CoRR, 2024)