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Deep Learning Meets Computational Fluid Dynamics to Assess CAD in CCTA.

, , , , , , and . AMAI@MICCAI, volume 13540 of Lecture Notes in Computer Science, page 8-17. Springer, (2022)

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Deep Learning Meets Computational Fluid Dynamics to Assess CAD in CCTA., , , , , , and . AMAI@MICCAI, volume 13540 of Lecture Notes in Computer Science, page 8-17. Springer, (2022)Transport characteristics of molecular motors., , and . Biosyst., 94 (3): 253-257 (2008)Modeling perfusion by fractal tree and stochastic dynamics., , , and . ICCS, volume 108 of Procedia Computer Science, page 2468-2472. Elsevier, (2017)Low-density lipoprotein accumulation within the right coronary artery walls for physiological and hypertension conditions., and . Biosyst., (2019)Accumulating particles at the boundaries of a laminar flow, , , and . Physica A: Statistical Mechanics and its Applications, 385 (1): 46--58 (Nov 1, 2007)Forcing inertial Brownian motors: Efficiency and negative differential mobility, , , , and . Physica A: Statistical Mechanics and its Applications, 371 (1): 20--24 (Nov 1, 2006)GPU accelerated Monte Carlo simulation of Brownian motors dynamics with CUDA., , and . Comput. Phys. Commun., (2015)Deep Learning Meets Particle Swarm Optimization For Aortic Valve Calcium Scoring From Cardiac Computed Tomography., , , , , and . ICIP, page 3469-3473. IEEE, (2023)Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning., , , , , , and . CoRR, (2024)