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Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning., , , , , , , , , and 43 other author(s). IEEE Trans. Medical Imaging, 42 (3): 697-712 (March 2023)Robust Intensity-based Initialization for 2D-3D Pelvis Registration (RobIn)., , , , , , , , , and . Bildverarbeitung für die Medizin, page 69-74. Springer, (2022)Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning., , , , , , , , , and 37 other author(s). CoRR, (2021)Fraunhofer MEVIS Image Registration Solutions for the Learn2Reg 2021 Challenge., , , , and . MIDOG/MOOD/Learn2Reg@MICCAI, volume 13166 of Lecture Notes in Computer Science, page 147-152. Springer, (2021)Intensity-Based 2D-3D Registration Using Normalized Gradient Fields., and . Bildverarbeitung für die Medizin, page 163-168. Springer, (2020)Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model., , , , , , , , and . CoRR, (2023)Multilevel 2D-3D Intensity-Based Image Registration., and . WBIR, volume 12120 of Lecture Notes in Computer Science, page 57-66. Springer, (2020)Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge., , , , and . MICCAI (Challenges), volume 12587 of Lecture Notes in Computer Science, page 74-79. Springer, (2020)