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Alejandro Roldán-Alzate

Showing results (1-10 of 63) with videos related to

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Biomechanics and Modeling in Mechanobiology|June 2, 2021
A distributed lumped parameter model of blood flow with fluid-structure interactionRyan Pewowaruk, Alejandro Roldán-Alzate
Annals of Biomedical Engineering|May 10, 2019
4D Flow MRI Estimation of Boundary Conditions for Patient Specific Cardiovascular SimulationRyan Pewowaruk, Alejandro Roldán-Alzate
Journal of Biomechanical Engineering|March 21, 2024
Validation of Dynamic 3D MRI for Urodynamics Assessment Using an Anatomically Realistic In Vitro Model of the BladderJames Rice, Wade Bushman, Alejandro Roldán-Alzate
Annals of Biomedical Engineering|January 5, 2021
Longitudinal Evolution of Pulmonary Artery Wall Shear Stress in a Swine Model of Pulmonary Artery Stenosis and Stent InterventionsRyan Pewowaruk, Luke Lamers, Alejandro Roldán-Alzate
Annals of Biomedical Engineering|August 17, 2018
Comparison of 4D Flow MRI and Particle Image Velocimetry Using an In Vitro Carotid Bifurcation ModelRafael Medero, Carson Hoffman, Alejandro Roldán-Alzate
Annals of Biomedical Engineering|May 5, 2021
Accelerated Estimation of Pulmonary Artery Stenosis Pressure Gradients with Distributed Lumped Parameter Modeling vs. 3D CFD with Instantaneous Adaptive Mesh Refinement: Experimental Validation in SwineRyan Pewowaruk, Luke Lamers, Alejandro Roldán-Alzate
Cardiovascular Engineering and Technology|May 18, 2019
Fabrication of Low-Cost Patient-Specific Vascular Models for Particle Image VelocimetryKatrina L Falk, Rafael Medero, Alejandro Roldán-Alzate
Cardiovascular Engineering and Technology|September 16, 2018
In Vitro Validation of 4D Flow MRI for Local Pulse Wave Velocity EstimationTimothy Ruesink, Rafael Medero, David Rutkowski, et al.
Scientific Reports|May 14, 2021
Enhancement of cerebrovascular 4D flow MRI velocity fields using machine learning and computational fluid dynamics simulation dataDavid R Rutkowski, Alejandro Roldán-Alzate, Kevin M Johnson
Cardiovascular Engineering and Technology|May 19, 2021
Non-invasive MRI Derived Hemodynamic Simulation to Predict Successful vs. Unsuccessful Catheter Interventions for Branch Pulmonary Artery Stenosis: Proof-of-Concept and Experimental Validation in SwineRyan Pewowaruk, John Ralphe, Luke Lamers, et al.
Pageof 7

Showing results (1-10 of 63) with videos related to

Sort By:
Pageof 7
Biomechanics and Modeling in Mechanobiology|June 2, 2021
A distributed lumped parameter model of blood flow with fluid-structure interactionRyan Pewowaruk, Alejandro Roldán-Alzate
Annals of Biomedical Engineering|May 10, 2019
4D Flow MRI Estimation of Boundary Conditions for Patient Specific Cardiovascular SimulationRyan Pewowaruk, Alejandro Roldán-Alzate
Journal of Biomechanical Engineering|March 21, 2024
Validation of Dynamic 3D MRI for Urodynamics Assessment Using an Anatomically Realistic In Vitro Model of the BladderJames Rice, Wade Bushman, Alejandro Roldán-Alzate
Annals of Biomedical Engineering|January 5, 2021
Longitudinal Evolution of Pulmonary Artery Wall Shear Stress in a Swine Model of Pulmonary Artery Stenosis and Stent InterventionsRyan Pewowaruk, Luke Lamers, Alejandro Roldán-Alzate
Annals of Biomedical Engineering|August 17, 2018
Comparison of 4D Flow MRI and Particle Image Velocimetry Using an In Vitro Carotid Bifurcation ModelRafael Medero, Carson Hoffman, Alejandro Roldán-Alzate
Annals of Biomedical Engineering|May 5, 2021
Accelerated Estimation of Pulmonary Artery Stenosis Pressure Gradients with Distributed Lumped Parameter Modeling vs. 3D CFD with Instantaneous Adaptive Mesh Refinement: Experimental Validation in SwineRyan Pewowaruk, Luke Lamers, Alejandro Roldán-Alzate
Cardiovascular Engineering and Technology|May 18, 2019
Fabrication of Low-Cost Patient-Specific Vascular Models for Particle Image VelocimetryKatrina L Falk, Rafael Medero, Alejandro Roldán-Alzate
Cardiovascular Engineering and Technology|September 16, 2018
In Vitro Validation of 4D Flow MRI for Local Pulse Wave Velocity EstimationTimothy Ruesink, Rafael Medero, David Rutkowski, et al.
Scientific Reports|May 14, 2021
Enhancement of cerebrovascular 4D flow MRI velocity fields using machine learning and computational fluid dynamics simulation dataDavid R Rutkowski, Alejandro Roldán-Alzate, Kevin M Johnson
Cardiovascular Engineering and Technology|May 19, 2021
Non-invasive MRI Derived Hemodynamic Simulation to Predict Successful vs. Unsuccessful Catheter Interventions for Branch Pulmonary Artery Stenosis: Proof-of-Concept and Experimental Validation in SwineRyan Pewowaruk, John Ralphe, Luke Lamers, et al.
Pageof 7