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researcher

D. Nordsletten

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CE1
  • physics.bio-ph1

identity via Semantic Scholar / OpenAlex

activity
20192023
collaborators

4 papers

eess.IV2023

Generalized super-resolution 4D Flow MRI $\unicode{x2013}$ using ensemble learning to extend across the cardiovascular system

Leon Ericsson, Adam Hjalmarsson, Muhammad Usman Akbar +14

4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique capable of quantifying blood flow across the cardiovascular system. While practical use is…

physics.bio-ph2021

A Viscoelastic Model for Human Myocardium

David Nordsletten, Adela Capilnasiu, Will Zhang +5

Understanding the biomechanics of the heart in health and disease plays an important role in the diagnosis and treatment of heart failure. The use of computational biomechanical mo…

eess.IV2020

Estimation of Cardiac Valve Annuli Motion with Deep Learning

Eric Kerfoot, Carlos Escudero King, Tefvik Ismail +2

Valve annuli motion and morphology, measured from non-invasive imaging, can be used to gain a better understanding of healthy and pathological heart function. Measurements such as…

cs.CE2019

A partition of unity approach to fluid mechanics and fluid-structure interaction

Maximilian Balmus, Andre Massing, Johan Hoffman +2

For problems involving large deformations of thin structures, simulating fluid-structure interaction (FSI) remains challenging largely due to the need to balance computational feas…

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