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Respiratory Motion Estimation from Cone-Beam Projections Using a Prior Model., , , and . MICCAI (1), volume 5762 of Lecture Notes in Computer Science, page 365-372. Springer, (2009)Automated Quantification of Blood Flow Velocity from Time-Resolved CT Angiography., , , , , , and . CVII-STENT/LABELS@MICCAI, volume 11043 of Lecture Notes in Computer Science, page 11-18. Springer, (2018)The pythagorean averages as group images in efficient groupwise registration., , , , and . ISBI, page 1261-1264. IEEE, (2016)Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients., , , , , , , , , and 12 other author(s). CoRR, (2020)Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge., , , , , , , , , and 21 other author(s). CoRR, (2016)Intensity Standardization of Skeleton in Follow-Up Whole-Body MRI., , , , , and . CSI@MICCAI, volume 11397 of Lecture Notes in Computer Science, page 77-89. Springer, (2018)Artificially augmenting data or adding more samples? A study on a 3D CNN for lung nodule classification., , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging., , , , , , , , , and 30 other author(s). CoRR, (2020)COVID-19 Lesion Segmentation Framework for the Contrast-Enhanced CT in the Absence of Contrast-Enhanced CT Annotations., , , and . MILLanD@MICCAI, volume 14307 of Lecture Notes in Computer Science, page 71-81. Springer, (2023)A multi-modal 2D/3D registration scheme for preterm brain images., , and . EMBC, page 3341-3344. IEEE, (2006)