Noah Maul

According to our database, Noah Maul authored at least 23 papers between 2022 and 2024.

Collaborative distances:

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

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, Oliver Taubmann

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

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

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

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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

Proceedings of the IEEE International Conference on Acoustics, 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: 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

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

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

Sensors, 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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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