Maximilian Rohleder

Orcid: 0000-0002-1758-9056

According to our database1, Maximilian Rohleder authored at least 14 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An interactive task-based method for the avoidance of metal artifacts in CBCT.
Int. J. Comput. Assist. Radiol. Surg., July, 2024

Physics-Informed Learning for Time-Resolved Angiographic Contrast Agent Concentration Reconstruction.
CoRR, 2024

Simulation-informed learning for time-resolved angiographic contrast agent concentration reconstruction.
Comput. Biol. Medicine, 2024

Abstract: Self-supervised CT Dual Domain Denoising using Low-parameter Models.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Gradient-based Geometry Learning for Fan-beam CT Reconstruction.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Transient Hemodynamics Prediction using an Efficient Octree-based Deep Learning Model.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Realistic Collimated X-ray Image Simulation Pipeline.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Realistic Collimated X-Ray Image Simulation Pipeline.
Proceedings of the Data Augmentation, Labelling, and Imperfections - Third MICCAI Workshop, 2023

Robust Hough and Spatial-To-Angular Transform Based Rotation Estimation for Orthopedic X-Ray Images.
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.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
Gradient-Based Geometry Learning for Fan-Beam CT Reconstruction.
CoRR, 2022


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