2012 - Fellow of the American Society of Mechanical Engineers
1934 - Fellow of the American Association for the Advancement of Science (AAAS)
David A. Steinman mainly investigates Shear stress, Magnetic resonance imaging, Mechanics, Blood flow and Simulation. David A. Steinman combines subjects such as Hemodynamics, Nuclear medicine and Biomedical engineering with his study of Magnetic resonance imaging. His study looks at the relationship between Biomedical engineering and fields such as Radiology, as well as how they intersect with chemical problems.
His study in Computational fluid dynamics, Flow and Newtonian fluid is carried out as part of his Mechanics studies. His Blood flow study integrates concerns from other disciplines, such as Standard deviation, Medical imaging, Mean flow, Electrocardiography and Nuclear magnetic resonance. His Simulation study incorporates themes from Image based, Large artery, Finite element method and Data science.
His scientific interests lie mostly in Mechanics, Hemodynamics, Computational fluid dynamics, Shear stress and Blood flow. His Mechanics research incorporates themes from Simulation and Carotid bifurcation. His Hemodynamics research integrates issues from Aneurysm, Magnetic resonance imaging and Radiology.
His work deals with themes such as Nuclear medicine and Biomedical engineering, which intersect with Magnetic resonance imaging. He works mostly in the field of Computational fluid dynamics, limiting it down to topics relating to Finite element method and, in certain cases, Tetrahedron, as a part of the same area of interest. He works mostly in the field of Blood flow, limiting it down to topics relating to Pulsatile flow and, in certain cases, Turbulence.
David A. Steinman spends much of his time researching Blood flow, Aneurysm, Computational fluid dynamics, Hemodynamics and Shear stress. His Blood flow study combines topics in areas such as Visualization, Vascular disease, Pulsatile flow and Flow measurement. The study incorporates disciplines such as Internal carotid artery and Inflow in addition to Aneurysm.
His study on Computational fluid dynamics is covered under Mechanics. He has included themes like Magnetic resonance imaging, Carotid arteries and Nuclear medicine in his Hemodynamics study. The various areas that David A. Steinman examines in his Shear stress study include Dynamical systems theory and Fixed point.
David A. Steinman focuses on Rupture risk, Aneurysm, Shear stress, Computational fluid dynamics and Hemodynamics. His work investigates the relationship between Shear stress and topics such as Inflow that intersect with problems in Volumetric flow rate, Power law, Flow and Uncertainty quantification. His Computational fluid dynamics study incorporates themes from Aneurysm rupture, Solver, Mathematical analysis and Contraction.
His study in Hemodynamics is interdisciplinary in nature, drawing from both Magnetic resonance imaging and Blood flow. The Magnetic resonance imaging study combines topics in areas such as Cardiology, Carotid arteries, Internal medicine, Risk factor and Human study. His Blood flow study is concerned with the field of Radiology as a whole.
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An image-based modeling framework for patient-specific computational hemodynamics
Luca Antiga;Marina Piccinelli;Lorenzo Botti;Lorenzo Botti;Bogdan Ene-Iordache.
Medical & Biological Engineering & Computing (2008)
Image-based computational simulation of flow dynamics in a giant intracranial aneurysm.
David A. Steinman;Jaques S. Milner;Chris J. Norley;Stephen P. Lownie.
American Journal of Neuroradiology (2003)
Image-based computational fluid dynamics modeling in realistic arterial geometries.
David A. Steinman.
Annals of Biomedical Engineering (2002)
Characterization of common carotid artery blood-flow waveforms in normal human subjects
D W Holdsworth;C J D Norley;R Frayne;D A Steinman;D A Steinman.
Physiological Measurement (1999)
Geometry of the Carotid Bifurcation Predicts Its Exposure to Disturbed Flow
Sang-Wook Lee;Luca Antiga;J. David Spence;David A. Steinman.
Hemodynamics of human carotid artery bifurcations: Computational studies with models reconstructed from magnetic resonance imaging of normal subjects
Jaques S. Milner;Jennifer A. Moore;Brian K. Rutt;David A. Steinman.
Journal of Vascular Surgery (1998)
Characterization of volumetric flow rate waveforms in the normal internal carotid and vertebral arteries
Matthew D Ford;Noam Alperin;Sung Hoon Lee;David W Holdsworth.
Physiological Measurement (2005)
Image-based modeling of blood flow and vessel wall dynamics: applications, methods and future directions: Sixth International Bio-Fluid Mechanics Symposium and Workshop, March 28-30, 2008 Pasadena, California.
Charles A. Taylor;David A. Steinman.
Annals of Biomedical Engineering (2010)
A Framework for Geometric Analysis of Vascular Structures: Application to Cerebral Aneurysms
M. Piccinelli;A. Veneziani;D.A. Steinman;A. Remuzzi.
IEEE Transactions on Medical Imaging (2009)
Reconstruction of carotid bifurcation hemodynamics and wall thickness using computational fluid dynamics and MRI.
David A. Steinman;David A. Steinman;Jonathan B. Thomas;Jonathan B. Thomas;Hanif M. Ladak;Hanif M. Ladak;Jaques S. Milner.
Magnetic Resonance in Medicine (2002)
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