| 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 | 209 | 2021 |
| 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 | 183 | 2013 |
| 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 | 128 | 2018 |
| 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 | 124 | 2014 |
| Characterizations and correlations of wall shear stress in aneurysmal flow A Arzani, SC Shadden Journal of biomechanical engineering 138 (1), 014503, 2016 | 117 | 2016 |
| 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 | 105 | 2020 |
| Lagrangian postprocessing of computational hemodynamics SC Shadden, A Arzani Annals of biomedical engineering 43, 41-58, 2015 | 105 | 2015 |
| Characterization of the transport topology in patient-specific abdominal aortic aneurysm models A Arzani, SC Shadden Physics of Fluids 24 (8), 2012 | 101 | 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 | 98 | 2017 |
| Wall shear stress fixed points in cardiovascular fluid mechanics A Arzani, SC Shadden Journal of biomechanics 73, 145-152, 2018 | 94 | 2018 |
| 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 | 91 | 2012 |
| 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 | 74 | 2016 |
| 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 | 72 | 2022 |
| Mechanical platelet activation potential in abdominal aortic aneurysms KB Hansen, A Arzani, SC Shadden Journal of biomechanical engineering 137 (4), 041005, 2015 | 66 | 2015 |
| Data-driven cardiovascular flow modelling: examples and opportunities A Arzani, STM Dawson Journal of the Royal Society Interface 18 (175), 20200802, 2021 | 63 | 2021 |
| 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 | 56 | 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 | 54 | 2021 |
| A critical comparison of different residence time measures in aneurysms MMS Reza, A Arzani Journal of biomechanics 88, 122-129, 2019 | 46 | 2019 |
| Data-driven pulsatile blood flow physics with dynamic mode decomposition M Habibi, STM Dawson, A Arzani Fluids 5 (3), 111, 2020 | 43 | 2020 |
| Comparing different nonlinear dimensionality reduction techniques for data-driven unsteady fluid flow modeling H Csala, S Dawson, A Arzani Physics of Fluids 34 (11), 2022 | 42 | 2022 |
Shawn C. ShaddenProfessor of Mechanical Engineering, University of California, BerkeleyVerified email at berkeley.edu
