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Geometric Uncertainty in Patient-Specific Cardiovascular Modeling with Convolutional Dropout Networks.

, , , and . CoRR, (2020)

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Using a Science Gateway to Deliver SimVascular Software as a Service for Classroom Instruction., , , , , , , and . PEARC, page 102:1-102:4. ACM, (2018)Identification of Hemodynamically Optimal Coronary Stent Designs Based on Vessel Caliber., , , , and . IEEE Trans. Biomed. Eng., 59 (7): 1992-2002 (2012)Hybrid Physics-Based and Data-Driven Modeling of Vascular Bifurcation Pressure Differences., , , , and . CoRR, (2024)svFSI: A Multiphysics Package for Integrated Cardiac Modeling., , , , , and . J. Open Source Softw., 7 (78): 4118 (October 2022)Immersive volume rendering of blood vessels., , , , and . ERVR, volume 8289 of SPIE Proceedings, page 82890L. SPIE, (2012)Model order reduction of flow based on a modular geometrical approximation of blood vessels., , , and . CoRR, (2020)A robust and efficient iterative method for hyper-elastodynamics with nested block preconditioning., and . J. Comput. Phys., (2019)Accelerating cardiovascular model building with convolutional neural networks., , and . Medical Biol. Eng. Comput., 57 (10): 2319-2335 (2019)SDF4CHD: Generative Modeling of Cardiac Anatomies with Congenital Heart Defects., , , , , and . CoRR, (2023)SimVascular Gateway for Education and Research., , , , and . PEARC, page 73:1-73:4. ACM, (2022)