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Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer., , , , , , and . CoRR, (2021)The Continuous Registration Challenge: Evaluation-as-a-Service for Medical Image Registration Algorithms., , , , and . ISBI, page 1399-1402. IEEE, (2019)Local Implicit Neural Representations for Multi-Sequence MRI Translation., , , and . ISBI, page 1-5. IEEE, (2023)Fast linear geodesic shape regression using coupled logdemons registration., , and . ISBI, page 1276-1279. IEEE, (2015)Transformation-consistent semi-supervised learning for prostate CT radiotherapy., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Improving Error Detection in Deep Learning Based Radiotherapy Autocontouring Using Bayesian Uncertainty., , , and . UNSURE@MICCAI, volume 13563 of Lecture Notes in Computer Science, page 70-79. Springer, (2022)Pulmonary Vessel Tree Matching for Quantifying Changes in Vascular Morphology., , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 517-524. Springer, (2018)The Design of SuperElastix - A Unifying Framework for a Wide Range of Image Registration Methodologies., , , and . CVPR Workshops, page 498-506. IEEE Computer Society, (2016)Fast automatic estimation of the optimization step size for nonrigid image registration., , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90341A. SPIE, (2014)Comparison of gradient approximation techniques for optimisation of mutual information in nonrigid registration., , and . Medical Imaging: Image Processing, volume 5747 of SPIE Proceedings, SPIE, (2005)