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Towards Automated Spine Mobility Quantification: A Locally Rigid CT to X-ray Registration Framework.

, , , , , , and . WBIR, volume 12120 of Lecture Notes in Computer Science, page 67-77. Springer, (2020)

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Towards Automated Spine Mobility Quantification: A Locally Rigid CT to X-ray Registration Framework., , , , , , and . WBIR, volume 12120 of Lecture Notes in Computer Science, page 67-77. Springer, (2020)Landmark-Based Evaluation of a Block-Matching Registration Framework on the RESECT Pre- and Intra-operative Brain Image Data Set., , , , and . LABELS/HAL-MICCAI/CuRIOUS@MICCAI, volume 11851 of Lecture Notes in Computer Science, page 136-144. Springer, (2019)Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis., , , , , , , , , and 2 other author(s). SASHIMI@MICCAI, volume 12417 of Lecture Notes in Computer Science, page 110-119. Springer, (2020)Automated postoperative muscle assessment of hip arthroplasty patients using multimodal imaging joint segmentation., , , , , , , , and . Comput. Methods Programs Biomed., (2020)MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation., , , , and . CoRR, (2021)Deep Boosted Regression for MR to CT Synthesis., , , , , , , , , and . SASHIMI@MICCAI, volume 11037 of Lecture Notes in Computer Science, page 61-70. Springer, (2018)Combining Multimodal Information for Metal Artefact Reduction: An Unsupervised Deep Learning Framework., , , , , , , and . ISBI, page 600-604. IEEE, (2020)