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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)

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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)Computer-aided diagnosis of skeletal metastases in multi-parametric whole-body MRI., , , , and . Comput. Methods Programs Biomed., (December 2023)The pythagorean averages as group images in efficient groupwise registration., , , , and . ISBI, page 1261-1264. IEEE, (2016)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)Handcrafted Features Can Boost Performance and Data-Efficiency for Deep Detection of Lung Nodules From CT Imaging., , , and . IEEE Access, (2023)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)The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data., , , , , , , , , and 28 other author(s). CoRR, (2023)Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging., , , , , , , , , and 30 other author(s). CoRR, (2020)