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Towards model-based analysis of cardiac MR tagging data: Relation between left ventricular shear strain and myofiber orientation., , , , и . Medical Image Anal., 10 (4): 632-641 (2006)Left Ventricular Shear Strain in Model and Experiment: The Role of Myofiber Orientation., , , , и . FIMH, том 3504 из Lecture Notes in Computer Science, стр. 314-324. Springer, (2005)Deep Learning Method for Estimation of Morphological Parameters Based on CT Scans., , , и . MIE, том 302 из Studies in Health Technology and Informatics, стр. 364-365. IOS Press, (2023)Modeling regulation of vascular tone following muscle contraction: Model development, validation and global sensitivity analysis., , , , , и . J. Comput. Sci., (2018)Quantitative Methods for Comparisons between Velocity Encoded MR-Measurements and Finite Element Modeling in Phantom Models., , , , , , , , и . International Conference on Computational Science (3), том 2331 из Lecture Notes in Computer Science, стр. 255-264. Springer, (2002)A lumped model for blood flow and pressure in the systemic arteries based on an approximate velocity profile function, , и . Mathematical Biosciences and Engineering, 6 (1): 27--40 (2009)Assisting vascular access surgery planning for hemodialysis by using MR, image segmentation techniques, and computer simulations., , , , , , , и . Medical Biol. Eng. Comput., 51 (8): 879-889 (2013)Towards Patient-Specific Modeling of Coronary Hemodynamics in Healthy and Diseased State., , , , , и . Comput. Math. Methods Medicine, (2013)Boundary Integral Method for 3D Simulation of Foam Dynamics., , и . LSSC, том 2179 из Lecture Notes in Computer Science, стр. 401-408. Springer, (2001)Segmentation of the left ventricle in cardiac MRI using a hierarchical extreme learning machine model., , , , , , и . Int. J. Mach. Learn. Cybern., 9 (10): 1741-1751 (2018)