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Towards inverse modeling of turbidity currents: The inverse lock-exchange problem.

, , , and . Computers & Geosciences, 37 (4): 521-529 (2011)

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Towards inverse modeling of turbidity currents: The inverse lock-exchange problem., , , and . Computers & Geosciences, 37 (4): 521-529 (2011)Dense Volume-to-Volume Vascular Boundary Detection., , , and . MICCAI (3), volume 9902 of Lecture Notes in Computer Science, page 371-379. (2016)Structural Edge Detection for Cardiovascular Modeling., , , and . MICCAI (3), volume 9351 of Lecture Notes in Computer Science, page 735-742. Springer, (2015)Creating shape templates for patient specific biventricular modeling in congenital heart disease., , , , , , , , , and 2 other author(s). EMBC, page 679-682. IEEE, (2015)Computational modeling of blood component transport related to coronary artery thrombosis in Kawasaki disease., , , , , , and . PLoS Comput. Biol., (2021)A robust and efficient iterative method for hyper-elastodynamics with nested block preconditioning., and . J. Comput. Physics, (2019)Accelerating cardiovascular model building with convolutional neural networks., , and . Med. Biol. Engineering and Computing, 57 (10): 2319-2335 (2019)Identification of Hemodynamically Optimal Coronary Stent Designs Based on Vessel Caliber., , , , and . IEEE Trans. Biomed. Engineering, 59 (7): 1992-2002 (2012)Using a Science Gateway to Deliver SimVascular Software as a Service for Classroom Instruction., , , , , , , and . PEARC, page 102:1-102:4. ACM, (2018)Optimization of computationally expensive simulations with Gaussian processes and parameter uncertainty: Application to cardiovascular surgery., , , , and . Allerton Conference, page 406-413. IEEE, (2012)