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David Nordsletten

University of Michigan · US
Area of research
Cardiology and Cardiovascular Medicine · Biomedical Engineering
Research interest
Research interests include Cardiovascular Function and Risk Factors, Elasticity and Material Modeling, Cardiac Valve Diseases and Treatments, and Advanced MRI Techniques and Applications.
h-index
39
citations
4,361
works
191
NIH funding
primary concept
email

Recent publications

MRI-based modelling of left atrial flow and coagulation to predict risk of thrombogenesis in atrial fibrillation
Medical Image Analysis 2025cited by 17position: middledoi
Modeling the Hemodynamic Impact of Y-incision Aortic Annular Enlargements on Aortic Valve Replacement and Valve-in-Valve Procedures
Journal of Cardiovascular Translational Research 2025cited by 4position: lastdoi
Matrix Architecture and Mechanics Regulate Myofibril Organization, Costamere Assembly, and Contractility in Engineered Myocardial Microtissues
Advanced Science 2024cited by 13position: middledoi
MicroBundleCompute: Automated segmentation, tracking, and analysis of subdomain deformation in cardiac microbundles
PLoS ONE 2024cited by 9position: middledoi
Imaging and biophysical modelling of thrombogenic mechanisms in atrial fibrillation and stroke
Frontiers in Cardiovascular Medicine 2023cited by 42position: middledoi
Cerebrovascular super-resolution 4D Flow MRI – Sequential combination of resolution enhancement by deep learning and physics-informed image processing to non-invasively quantify intracranial velocity, flow, and relative pressure
Medical Image Analysis 2023cited by 22position: middledoi
A data-driven computational model for engineered cardiac microtissues
Acta Biomaterialia 2023cited by 16position: lastdoi
CRIMSON: An open-source software framework for cardiovascular integrated modelling and simulation
PLoS Computational Biology 2021cited by 88position: middledoi
A viscoelastic model for human myocardium
HAL (Le Centre pour la Communication Scientifique Directe) 2021cited by 87position: middledoi
False lumen pressure estimation in type B aortic dissection using 4D flow cardiovascular magnetic resonance: comparisons with aortic growth
Journal of Cardiovascular Magnetic Resonance 2021cited by 58position: middledoi
Comparative Analysis of Nonlinear Viscoelastic Models Across Common Biomechanical Experiments
Journal of Elasticity 2021cited by 46position: lastdoi
Magnetic Resonance Elastography Reconstruction for Anisotropic Tissues
Medical Image Analysis 2021cited by 36position: middledoi
An Implementation of Patient-Specific Biventricular Mechanics Simulations With a Deep Learning and Computational Pipeline
Frontiers in Physiology 2021cited by 33position: lastdoi
Evaluation of aortic stenosis: From Bernoulli and Doppler to Navier-Stokes
Trends in Cardiovascular Medicine 2021cited by 31position: middledoi
An efficient and accurate method for modeling nonlinear fractional viscoelastic biomaterials
Computer Methods in Applied Mechanics and Engineering 2020cited by 67position: lastdoi
Nonlinear viscoelastic constitutive model for bovine liver tissue
Biomechanics and Modeling in Mechanobiology 2020cited by 44position: lastdoi
Imaging localized neuronal activity at fast time scales through biomechanics
Science Advances 2019cited by 46position: middledoi
Estimation of Cardiovascular Relative Pressure Using Virtual Work-Energy
Scientific Reports 2019cited by 40position: lastdoi
Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy
Medical Image Analysis 2019cited by 35position: lastdoi
Stiffness reconstruction methods for MR elastography
NMR in Biomedicine 2018cited by 81position: middledoi
A novel magnetic resonance elastography transducer concept based on a rotational eccentric mass: preliminary experiences with the gravitational transducer
Physics in Medicine and Biology 2018cited by 47position: middledoi
Modeling Left Atrial Flow, Energy, Blood Heating Distribution in Response to Catheter Ablation Therapy
Frontiers in Physiology 2018cited by 41position: middledoi
Robust MR elastography stiffness quantification using a localized divergence free finite element reconstruction
Medical Image Analysis 2017cited by 50position: lastdoi
Multiphysics and multiscale modelling, data–model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics
Interface Focus 2016cited by 226position: lastdoi
Multiphysics Computational Modeling in $\boldsymbol{\mathcal{C}}\mathbf{Heart}$
SIAM Journal on Scientific Computing 2016cited by 63position: lastdoi
A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction
Medical Image Analysis 2016cited by 41position: middledoi
Non-invasive Model-Based Assessment of Passive Left-Ventricular Myocardial Stiffness in Healthy Subjects and in Patients with Non-ischemic Dilated Cardiomyopathy
Annals of Biomedical Engineering 2016cited by 39position: lastdoi
Experiment for validation of fluid‐structure interaction models and algorithms
International Journal for Numerical Methods in Biomedical Engineering 2016cited by 32position: lastdoi
In silico coronary wave intensity analysis: application of an integrated one-dimensional and poromechanical model of cardiac perfusion
Biomechanics and Modeling in Mechanobiology 2016cited by 31position: middledoi
Multi-modality image-based computational analysis of haemodynamics in aortic dissection
Biomechanics and Modeling in Mechanobiology 2015cited by 123position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Nicolas P. Smith · Lawrence Berkeley National Laboratory11 papers (2012–2016)Jack Lee · Chinese University of Hong Kong11 papers (2012–2018)Ralph Sinkus · Inserm9 papers (2015–2021)Myrianthi Hadjicharalambous · University of Cyprus7 papers (2014–2021)Daniel Fovargue · King's College London7 papers (2017–2021)Radomí­r Chabiniok · Southwestern Medical Center7 papers (2012–2016)C. Michler · Shell (Netherlands)6 papers (2012–2016)Pablo Lamata · St Thomas' Hospital6 papers (2012–2021)David Marlevi · Massachusetts Institute of Technology5 papers (2018–2023)Adelaide de Vecchi · King's College London5 papers (2012–2025)Andrew Cookson · University of Bath5 papers (2012–2016)Liya Asner · King's College London5 papers (2014–2016)C. Alberto Figueroa · University of Michigan5 papers (2015–2023)Reza Razavi · King's College London5 papers (2012–2019)Desmond Dillon-Murphy · Thermo Fisher Scientific (United Kingdom)4 papers (2015–2019)Adela Capilnasiu · King's College London4 papers (2020–2021)Eric Kerfoot · King's College London4 papers (2016–2021)Will Zhang · University of Michigan3 papers (2020–2021)Eva Sammut · NIHR Bristol Cardiovascular Biomedical Research Unit3 papers (2014–2016)Hiba Kobeissi · Boston University3 papers (2023–2024)