( en | de | ru )

 

Disambiguation of "Rohleder, Maximilian"

Author of the publication

copydeleteadd this publication to your clipboard
Abstract: Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation.

, , , , , , , and . Bildverarbeitung für die Medizin, page 217. Springer, (2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Cathrin Rohleder

Matthias Rohleder

Christiane Rohleder

Marcus Rohleder

Stephan Rohleder

 

Other publications of authors with the same name

Abstract: Realistic Collimated X-ray Image Simulation Pipeline., , , , , , and . Bildverarbeitung für die Medizin, page 218. Springer, (2024)Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation., , , , , , , and . MICCAI (3), volume 14222 of Lecture Notes in Computer Science, page 57-65. Springer, (2023)Robust Hough and Spatial-To-Angular Transform Based Rotation Estimation for Orthopedic X-Ray Images., , , , , and . MICCAI (7), volume 14226 of Lecture Notes in Computer Science, page 446-455. Springer, (2023)Abstract: Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation., , , , , , , and . Bildverarbeitung für die Medizin, page 217. Springer, (2024)Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model., , , , , , , , and . IPMI, volume 13939 of Lecture Notes in Computer Science, page 183-194. Springer, (2023)A Realistic Collimated X-Ray Image Simulation Pipeline., , , , , , and . DALI@MICCAI, volume 14379 of Lecture Notes in Computer Science, page 137-145. Springer, (2023)Abstract: Transient Hemodynamics Prediction using an Efficient Octree-based Deep Learning Model., , , , , , , , and . Bildverarbeitung für die Medizin, page 362. Springer, (2024)Abstract: Self-supervised CT Dual Domain Denoising using Low-parameter Models., , , , , , , , , and 2 other author(s). Bildverarbeitung für die Medizin, page 159. Springer, (2024)On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting., , , , , , , , , and 2 other author(s). ISBI, page 1-5. IEEE, (2023)An interactive task-based method for the avoidance of metal artifacts in CBCT., , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 19 (7): 1399-1407 (July 2024)