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Maximilian Rohleder
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2020 – today
- 2024
- [j2]Maximilian Rohleder, Mareike Thies, Sophie Riedl, Benno Bullert, Jula Gierse, Maxim Privalov, Eric Mandelka, Sven Yves Vetter, Andreas K. Maier, Björn W. Kreher:
An interactive task-based method for the avoidance of metal artifacts in CBCT. Int. J. Comput. Assist. Radiol. Surg. 19(7): 1399-1407 (2024) - [j1]Noah Maul, Annette Birkhold, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Philipp Berg, Markus Kowarschik, Andreas K. Maier:
Simulation-informed learning for time-resolved angiographic contrast agent concentration reconstruction. Comput. Biol. Medicine 182: 109178 (2024) - [c10]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 - [c9]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 - [c8]Maximilian Rohleder, Charlotte Pradel, Fabian Wagner, Mareike Thies, Noah Maul, Felix Denzinger, Andreas K. Maier, Björn W. Kreher:
Abstract: Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation. Bildverarbeitung für die Medizin 2024: 217 - [c7]Benjamin El-Zein, Dominik Eckert, Thomas Weber, Maximilian Rohleder, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier:
Abstract: Realistic Collimated X-ray Image Simulation Pipeline. Bildverarbeitung für die Medizin 2024: 218 - [c6]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 - [i4]Noah Maul, Annette Birkhold, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Philipp Berg, Markus Kowarschik, Andreas K. Maier:
Physics-Informed Learning for Time-Resolved Angiographic Contrast Agent Concentration Reconstruction. CoRR abs/2403.01993 (2024) - 2023
- [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, 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 - [c3]Maximilian Rohleder, Charlotte Pradel, Fabian Wagner, Mareike Thies, Noah Maul, Felix Denzinger, Andreas K. Maier, Björn W. Kreher:
Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation. MICCAI (3) 2023: 57-65 - [c2]Benjamin El-Zein, Dominik Eckert, Thomas Weber, Maximilian Rohleder, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier:
A Realistic Collimated X-Ray Image Simulation Pipeline. DALI@MICCAI 2023: 137-145 - [c1]Magdalena Bachmaier, Maximilian Rohleder, Benedict Swartman, Maxim Privalov, Andreas K. Maier, Holger Kunze:
Robust Hough and Spatial-To-Angular Transform Based Rotation Estimation for Orthopedic X-Ray Images. MICCAI (7) 2023: 446-455 - [i3]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
- [i2]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) - [i1]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)
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