Justin S. Tran
Affiliations: | California State University, Fullerton, Fullerton, CA, United States |
Area:
Computational Fluid Dynamics, Biomechanics, Finite Element AnalysisGoogle:
"Justin Tran"
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Khan MO, Tran JS, Zhu H, et al. (2020) Low Wall Shear Stress Is Associated with Saphenous Vein Graft Stenosis in Patients with Coronary Artery Bypass Grafting. Journal of Cardiovascular Translational Research |
| Tran JS, Schiavazzi DE, Kahn AM, et al. (2019) Uncertainty quantification of simulated biomechanical stimuli in coronary artery bypass grafts. Computer Methods in Applied Mechanics and Engineering. 345: 402-428 |
| Eslami P, Tran J, Jin Z, et al. (2019) Effect of Wall Elasticity on Hemodynamics and Wall Shear Stress in Patient-Specific Simulations in the Coronary Arteries. Journal of Biomechanical Engineering |
| Grande Gutierrez N, Mathew M, McCrindle BW, et al. (2019) Hemodynamic variables in aneurysms are associated with thrombotic risk in children with Kawasaki disease. International Journal of Cardiology |
| Eslami P, Marsden A, Tran J, et al. (2019) ENDOTHELIAL SHEAR STRESS DERIVED FROM SERIAL NONINVASIVE CORONARY CTA: EFFECT OF WALL ELASTICITY IN A FEASIBILITY STUDY Journal of the American College of Cardiology. 73: 1642 |
| Valen-Sendstad K, Bergersen AW, Shimogonya Y, et al. (2018) Real-World Variability in the Prediction of Intracranial Aneurysm Wall Shear Stress: The 2015 International Aneurysm CFD Challenge. Cardiovascular Engineering and Technology |
| Tran JS, Schiavazzi DE, Ramachandra AB, et al. (2017) Automated Tuning for Parameter Identification and Uncertainty Quantification in Multi-scale Coronary Simulations. Computers & Fluids. 142: 128-138 |
| Tran JS, Schiavazzi DE, Ramachandra AB, et al. (2015) Automated tuning for parameter identification and uncertainty quantification in multi-scale coronary simulations Computers and Fluids |