Summer Sale

Up to 30% off — ends 7 Aug

ONLY00h00m00s

Get 30% Off

Up to 30% off — ends 7 Aug

ONLY00h00m00s

David Nordsletten

University of Michigan

United States

This profile is automatically generated from trusted academic sources.

Google Scholar

ORCID

How do I reach out?

Meet Kite AI

Contact this professor

ORCID

Google Scholar

Academic Page

Research Interests

Cardiology

100%

Medical Imaging

90%

Cardiovascular Biomechanics

60%

Circulatory Physiology

60%

Cardiac Imaging

40%

Particle Image Velocimetry

30%

Atrial Fibrillation

30%

Ask ApplyKite AI

Start chatting

How can you help me contact this professor?

What are this professor's research interests?

How should I write an email to this professor?

Articles27

Theoretical analysis of power‐law stress relaxation and calcium‐dependent passive mechanics in cardiac muscle

Article Link

Year:

2025

A software benchmark for cardiac elastodynamics

Article Link

Year:

2025

MRI-based modelling of left atrial flow and coagulation to predict risk of thrombogenesis in atrial fibrillation

Article Link

Year:

2025

Effective block preconditioners for fluid dynamics coupled to reduced models of a non-local nature

Article Link

Year:

2025

Modeling the Hemodynamic Impact of Y-incision Aortic Annular Enlargements on Aortic Valve Replacement and Valve-in-Valve Procedures

Article Link

Year:

2025

Early three-dimensional growth in uncomplicated type B aortic dissection is associated with long-term outcomes Presented at the 2024 American Association of Thoracic Surgeons, Aortic Symposium, New York, New York, April 25-26, 2024.

Article Link

Year:

2025

A Viscoelastic Constitutive Framework for Aging Muscular and Elastic Arteries

Article Link

Year:

2024

Early 3D Growth in Uncomplicated Type B Aortic Dissection is Associated with Long-Term Outcomes.

Article Link

Year:

2024

The IT-BME Project: Integrating Inclusive Teaching in Biomedical Engineering Through Faculty/Graduate Partnerships

Article Link

Year:

2024

Fluid-reduced-solid interaction (FrSI): Physics- and projection-based model reduction for cardiovascular applications

Article Link

Year:

2024

MicroBundleCompute: Automated segmentation, tracking, and analysis of subdomain deformation in cardiac microbundles

Article Link

Year:

2024

Generalized super-resolution 4D Flow MRI - using ensemble learning to extend across the cardiovascular system

Article Link

Year:

2024

Kiosk 4R-TB-03 Mapping Stiffness of the False Lumen Wall in Type B Aortic Dissection – a Multimodal Study of Regional Aortic Wall Biomechanics for False Lumen Growth Rate Prediction

Article Link

Year:

2024

Making sense of scattering: seeing microstructure through shear waves

Article Link

Year:

2024

MicroBundlePillarTrack: A Python package for automated segmentation, tracking, and analysis of pillar deflection in cardiac microbundles.

Article Link

Year:

2024

Matrix Architecture and Mechanics Regulate Myofibril Organization, Costamere Assembly, and Contractility in Engineered Myocardial Microtissues

Article Link

Year:

2024

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

Article Link

Year:

2023

Imaging and biophysical modelling of thrombogenic mechanisms in atrial fibrillation and stroke

Article Link

Year:

2023

Non-invasive cardiovascular magnetic resonance assessment of pressure recovery distance after aortic valve stenosis

Article Link

Year:

2023

Mitral regurgitation severity at left ventricular assist device implantation is associated with distinct myocardial transcriptomic signatures

Article Link

Year:

2023

Simulating hyperelasticity and fractional viscoelasticity in the human heart

Article Link

Year:

2023

Imaging and biophysical modelling of thrombogenic mechanisms in atrial fibrillation and stroke

Article Link

Year:

2023

Evaluation of aortic stenosis: From Bernoulli and Doppler to Navier-Stokes

Article Link

Year:

2023

The impact of aging and atrial fibrillation on thrombus formation in-silico

Article Link

Year:

2023

Personalization of biomechanical simulations of the left ventricle by in-vivo cardiac DTI data: Impact of fiber interpolation methods

Article Link

Year:

2022

Role of the mitral valve in left ventricular assist device pathophysiology

Article Link

Year:

2022

Mechanistic modelling of Virchows triad to assess thrombogenicity and stroke risk in atrial fibrillation patients

Article Link

Year:

2022

Collaborators17

Gerhard A. Holzapfel

Graz University of Technology

AUSTRIA

Elazer Edelman

Massachusetts Institute of Technology

UNITED STATES

Pablo Lamata

Professor and Wellcome Trust Senior Research Fellow

King’s College London

UNITED KINGDOM

Sverre Holm

Professor

University of Oslo

NORWAY

Tino Ebbers

Professor

Linköping University

SWEDEN

Majid Jadidi

University of Nebraska Omaha

UNITED STATES

Amanda Nio

King’s College London

UNITED KINGDOM

Sayed Ahmadreza Razian

University of Nebraska Omaha

UNITED STATES

Daniel A Beard

Medical College of Wisconsin

UNITED STATES

Christian Stoeck

SWITZERLAND

Adelaide de Vecchi

Lecturer (Assistant Professor)

King’s College London

UNITED KINGDOM

Alexey Kamenskiy

Professor

University of Nebraska Omaha

UNITED STATES

Roberto Piersanti

Tenure-track assistant professor

Università degli Studi eCampus

ITALY

Maria Aristova

Northwestern University

UNITED STATES

Amedeo Chiribiri

King’s College London

UNITED KINGDOM

Susanne Schnell

Professor

Universität Greifswald Mathematisch-Naturwissenschaftliche Fakultät

GERMANY

Alistair Young

King’s College London

UNITED KINGDOM

How do I reach out?

Meet Kite AI