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)

Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation. - Maximilian Rohleder; Charlotte Pradel; Fabian Wagner; Mareike Thies; Noah Maul; Felix Denzinger; Andreas K. Maier; Björn W. Kreher (MICCAI (3), 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)

Continuous Non-Invasive Blood Pressure Measurement Using 60 GHz-Radar - A Feasibility Study. - Nastassia Vysotskaya; Christoph Will; Lorenzo Servadei; Noah Maul; Christian Mandl; Merlin A. Nau; Jens Harnisch; Andreas Maier 001 (Sensors, 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: Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation. - Maximilian Rohleder; Charlotte Pradel; Fabian Wagner; Mareike Thies; Noah Maul; Felix Denzinger; Andreas K. Maier; Björn W. Kreher (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)

Transforming Cardiovascular Health: a Transformer-Based Approach to Continuous, Non-Invasive Blood Pressure Estimation via Radar Sensing. - Nastassia Vysotskaya; Noah Maul; Alessandra Fusco; Souvik Hazra; Jens Harnisch; Tomás Arias-Vergara; Andreas K. Maier (ICASSP, 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)

Simulation-informed learning for time-resolved angiographic contrast agent concentration reconstruction. - Noah Maul; Annette Birkhold; Fabian Wagner; Mareike Thies; Maximilian Rohleder; Philipp Berg; Markus Kowarschik; Andreas K. Maier (Comput. Biol. Medicine, 2024)

A gradient-based approach to fast and accurate head motion compensation in cone-beam CT. - Mareike Thies; Fabian Wagner; Noah Maul; Haijun Yu; Manuela Meier; Linda-Sophie Schneider; Mingxuan Gu; Siyuan Mei; Lukas Folle; Andreas K. Maier (CoRR, 2024)

Physics-Informed Learning for Time-Resolved Angiographic Contrast Agent Concentration Reconstruction. - Noah Maul; Annette Birkhold; Fabian Wagner; Mareike Thies; Maximilian Rohleder; Philipp Berg; Markus Kowarschik; Andreas K. Maier (CoRR, 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)

Neural Image Unfolding: Flattening Sparse Anatomical Structures using Neural Fields. - Leonhard Rist; Pluvio Stephan; Noah Maul; Linda Vorberg; Hendrik Ditt; Michael Sühling; Andreas K. Maier; Bernhard Egger 001; Oliver Taubmann (CoRR, 2024)

Abstract: Simulation-informed Learning for Time-resolved Angiographic Contrast Agent Concentration Reconstruction. - Noah Maul; Annette Birkhold; Fabian Wagner; Mareike Thies; Maximilian Rohleder; Philipp Berg; Markus Kowarschik; Andreas K. Maier (Bildverarbeitung für die Medizin, 2025)

Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning. - Nora Gourmelon; Konrad Heidler; Erik Loebel; Daniel Cheng; Julian Klink; Anda Dong; Fei Wu 025; Noah Maul; Moritz Koch; Marcel Dreier; Dakota Pyles; Thorsten Seehaus; et al. (CoRR, 2025)

A Gradient-Based Approach to Fast and Accurate Head Motion Compensation in Cone-Beam CT. - Mareike Thies; Fabian Wagner; Noah Maul; Haijun Yu; Manuela Goldmann; Linda-Sophie Schneider; Mingxuan Gu; Siyuan Mei; Lukas Folle; Alexander Preuhs; Michael Manhart 001; Andreas K. Maier (IEEE Trans. Medical Imaging, 2025)