Maximilian Rohleder

According to our database, Maximilian Rohleder authored at least 11 papers between 2022 and 2024.

Collaborative distances:

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

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

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

Abstract: Realistic Collimated X-ray Image Simulation Pipeline.

Benjamin El-Zein, Dominik Eckert, Thomas Weber, Maximilian Rohleder, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

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

Robust Hough and Spatial-To-Angular Transform Based Rotation Estimation for Orthopedic X-Ray Images.

Magdalena Bachmaier, Maximilian Rohleder, Benedict Swartman, Maxim Privalov, Andreas K. Maier, Holger Kunze

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

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

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