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Dynamic 2-D/3-D Rigid Registration Framework Using Point-To-Plane Correspondence Model.

, , , , , , and . IEEE Trans. Med. Imaging, 36 (9): 1939-1954 (2017)

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Real-Time-Capable GPU-Framework for Depth-Aware Rigid 2D/3D Registration., , , , and . Bildverarbeitung für die Medizin, page 185-190. Springer, (2017)Preliminary Study Investigating Brain Shift Compensation using 3D CBCT Cerebral Vascular Images., , , , , , , and . Bildverarbeitung für die Medizin, page 163-168. Springer Vieweg, (2018)Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration., , , , and . GCPR, volume 11269 of Lecture Notes in Computer Science, page 140-152. Springer, (2018)A Divide-and-Conquer Approach Towards Understanding Deep Networks., , , , and . MICCAI (1), volume 11764 of Lecture Notes in Computer Science, page 183-191. Springer, (2019)Frangi-Net., , , , , , , and . Bildverarbeitung für die Medizin, page 341-346. Springer Vieweg, (2018)Frangi-Net: A Neural Network Approach to Vessel Segmentation., , , , , and . CoRR, (2017)Form Follows Function - Smart Network Design Enables Zero-shot Network Reuse., , , , , , and . Bildverarbeitung für die Medizin, page 121-126. Springer, (2022)Learning-Based Misalignment Detection for 2-D/3-D Overlays., , , , and . Bildverarbeitung für die Medizin, page 230-235. Springer, (2020)"Keep it simple, scholar": an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging., , , , and . Int. J. Comput. Assist. Radiol. Surg., 16 (6): 967-978 (2021)Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks., , , , and . Bildverarbeitung für die Medizin, page 313. Springer, (2020)