Amirhossein Arzani
Amirhossein Arzani
Assistant Professor of Mechanical Engineering, University of Utah
Verified email at - Homepage
Cited by
Cited by
Variability of computational fluid dynamics solutions for pressure and flow in a giant aneurysm: the ASME 2012 Summer Bioengineering Conference CFD Challenge
DA Steinman, Y Hoi, P Fahy, L Morris, MT Walsh, N Aristokleous, ...
Journal of biomechanical engineering 135 (2), 021016, 2013
Uncovering near-wall blood flow from sparse data with physics-informed neural networks
A Arzani, JX Wang, RM D'Souza
Physics of Fluids 33 (7), 2021
A longitudinal comparison of hemodynamics and intraluminal thrombus deposition in abdominal aortic aneurysms
A Arzani, GY Suh, RL Dalman, SC Shadden
American Journal of Physiology-Heart and Circulatory Physiology 307 (12 …, 2014
Accounting for residence-time in blood rheology models: do we really need non-Newtonian blood flow modelling in large arteries?
A Arzani
Journal of The Royal Society Interface 15 (146), 20180486, 2018
Characterizations and correlations of wall shear stress in aneurysmal flow
A Arzani, SC Shadden
Journal of biomechanical engineering 138 (1), 014503, 2016
Lagrangian postprocessing of computational hemodynamics
SC Shadden, A Arzani
Annals of biomedical engineering 43, 41-58, 2015
Characterization of the transport topology in patient-specific abdominal aortic aneurysm models
A Arzani, SC Shadden
Physics of Fluids 24 (8), 2012
Wall shear stress exposure time: a Lagrangian measure of near-wall stagnation and concentration in cardiovascular flows
A Arzani, AM Gambaruto, G Chen, SC Shadden
Biomechanics and modeling in mechanobiology 16, 787-803, 2017
In Vivo Validation of Numerical Prediction for Turbulence Intensity in an Aortic Coarctation
A Arzani, P Dyverfeldt, T Ebbers, SC Shadden
Annals of biomedical engineering 40, 860-870, 2012
Wall shear stress fixed points in cardiovascular fluid mechanics
A Arzani, SC Shadden
Journal of biomechanics 73, 145-152, 2018
Super-resolution and denoising of 4D-flow MRI using physics-informed deep neural nets
MF Fathi, I Perez-Raya, A Baghaie, P Berg, G Janiga, A Arzani, ...
Computer Methods and Programs in Biomedicine 197, 105729, 2020
Lagrangian wall shear stress structures and near-wall transport in high-Schmidt-number aneurysmal flows
A Arzani, AM Gambaruto, G Chen, SC Shadden
Journal of Fluid Mechanics 790, 158-172, 2016
Mechanical platelet activation potential in abdominal aortic aneurysms
KB Hansen, A Arzani, SC Shadden
Journal of biomechanical engineering 137 (4), 041005, 2015
Data-driven cardiovascular flow modelling: examples and opportunities
A Arzani, STM Dawson
Journal of the Royal Society Interface 18 (175), 20200802, 2021
Machine learning for cardiovascular biomechanics modeling: challenges and beyond
A Arzani, JX Wang, MS Sacks, SC Shadden
Annals of Biomedical Engineering 50 (6), 615-627, 2022
The story of wall shear stress in coronary artery atherosclerosis: biochemical transport and mechanotransduction
M Mahmoudi, A Farghadan, DR McConnell, AJ Barker, JJ Wentzel, ...
Journal of biomechanical engineering 143 (4), 041002, 2021
A critical comparison of different residence time measures in aneurysms
MMS Reza, A Arzani
Journal of biomechanics 88, 122-129, 2019
Predicting high-fidelity multiphysics data from low-fidelity fluid flow and transport solvers using physics-informed neural networks
M Aliakbari, M Mahmoudi, P Vadasz, A Arzani
International Journal of Heat and Fluid Flow 96, 109002, 2022
Data-driven pulsatile blood flow physics with dynamic mode decomposition
M Habibi, STM Dawson, A Arzani
Fluids 5 (3), 111, 2020
A strain-based finite element model for calcification progression in aortic valves
A Arzani, MRK Mofrad
Journal of Biomechanics 65, 216-220, 2017
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