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An iterative Bayesian approach for nearly automatic liver segmentation: algorithm and validation., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 3 (5): 439-446 (2008)Automatic lung tumor segmentation with leaks removal in follow-up CT studies., , , and . Int. J. Comput. Assist. Radiol. Surg., 10 (9): 1505-1514 (2015)Vessels-Cut: A Graph Based Approach to Patient-Specific Carotid Arteries Modeling., , , , , , , and . 3DPH, volume 5903 of Lecture Notes in Computer Science, page 1-12. Springer, (2009)Automatic Lung Tumor Segmentation with Leaks Removal in Follow-up CT Studies., , , and . CLIP@MICCAI, volume 8680 of Lecture Notes in Computer Science, page 92-100. Springer, (2014)Patient-specific and global convolutional neural networks for robust automatic liver tumor delineation in follow-up CT studies., , , , and . Med. Biol. Engineering and Computing, 56 (9): 1699-1713 (2018)Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading., , , , , , , , , and 20 other author(s). Medical Image Anal., 15 (4): 477-488 (2011)An iterative model-constrained graph-cut algorithm for abdominal aortic aneurysm thrombus segmentation., , , and . ISBI, page 672-675. IEEE, (2010)Automatic segmentation variability estimation with segmentation priors., , , and . Medical Image Analysis, (2018)Automatic Liver Tumor Segmentation in Follow-Up CT Scans: Preliminary Method and Results., , , , , and . Patch-MI@MICCAI, volume 9467 of Lecture Notes in Computer Science, page 54-61. Springer, (2015)A fully automatic end-to-end method for content-based image retrieval of CT scans with similar liver lesion annotations., , , , and . Int. J. Comput. Assist. Radiol. Surg., 13 (1): 165-174 (2018)