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3D segmentation of abdominal aorta from CT-scan and MR images.

, , , and . Comput. Medical Imaging Graph., 36 (4): 294-303 (2012)

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A 4D Patient-Specific Modelling of the Thoracic Aorta from Cine-MR Images., , , , , and . SITIS, page 269-276. IEEE Computer Society, (2011)Automatic determination of aortic compliance based on MRI and adapted curvilinear detector., , , and . Biomed. Signal Process. Control., (2018)3D segmentation of abdominal aorta from CT-scan and MR images., , , and . Comput. Medical Imaging Graph., 36 (4): 294-303 (2012)Computer-aided shape features extraction and regression models for predicting the ascending aortic aneurysm growth rate., , , , , , , , , and 6 other author(s). Comput. Biol. Medicine, (August 2023)Calibration of the Mechanical Boundary Conditions for a Patient-Specific Thoracic Aorta Model Including the Heart Motion Effect., , , , , , , , , and . IEEE Trans. Biomed. Eng., 70 (11): 3248-3259 (November 2023)Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets., , , , , , , , , and 3 other author(s). J. Imaging, 9 (6): 123 (2023)Multi-atlas Segmentation of the Aorta from 4D Flow MRI: Comparison of Several Fusion Strategies., , , , , , , , and . STACOM@MICCAI, volume 13131 of Lecture Notes in Computer Science, page 3-11. Springer, (2021)Markovian method for 2D, 3D and 4D segmentation of MRI., , , , and . ICIP, page 3012-3015. IEEE, (2008)