Triangulation of p -Order Parametric Surfaces. - David Nordsletten; Nicolas Smith (J. Sci. Comput., 2008)

Personalization of Cubic Hermite Meshes for Efficient Biomechanical Simulations. - Pablo Lamata; Steven A. Niederer; David C. Barber; David Nordsletten; Jack Lee; Rod D. Hose; Nic Smith (MICCAI (2), 2010)

A non-conforming monolithic finite element method for problems of coupled mechanics. - David Nordsletten; David Kay; Nicolas Smith (J. Comput. Phys., 2010)

A Preconditioner for the Finite Element Approximation to the Arbitrary Lagrangian–Eulerian Navier–Stokes Equations. - David Nordsletten; Nicolas Smith; David Kay (SIAM J. Sci. Comput., 2010)

An accurate, fast and robust method to generate patient-specific cubic Hermite meshes. - Pablo Lamata; Steven A. Niederer; David Nordsletten; David C. Barber; Ishani Roy; Rod D. Hose; Nic Smith (Medical Image Anal., 2011)

Multiscale Mathematical Modeling to Support Drug Development. - David Nordsletten; Beracah Yankama; Renato Umeton; V. A. Shiva Ayyadurai; C. Forbes Dewey Jr. (IEEE Trans. Biomed. Eng., 2011)

A finite-element approach to the direct computation of relative cardiovascular pressure from time-resolved MR velocity data. - Sebastian Krittian; Pablo Lamata; Christian Michler; David Nordsletten; Jelena Bock; Chris P. Bradley; Alex Pitcher; Philip J. Kilner; Michael Markl 001; Nicolas Smith (Medical Image Anal., 2012)

Flow Analysis in Cardiac Chambers Combining Phase Contrast, 3D Tagged and Cine MRI. - Radomír Chabiniok; James Wong; Daniel Giese; David Nordsletten; Wenzhe Shi; Gerald Greil; Daniel Rueckert; Reza Razavi; Tobias Schaeffter; Nic Smith (FIMH, 2013)

Simulating left ventricular fluid-solid mechanics through the cardiac cycle under LVAD support. - Matthew McCormick 002; David A. Nordsletten; David Kay; Nicolas Smith (J. Comput. Phys., 2013)

Parameterisation of multi-scale continuum perfusion models from discrete vascular networks. - Eoin R. Hyde; Christian Michler; Jack Lee; Andrew N. Cookson; Radek Chabiniok; David Nordsletten; Nicolas Smith (Medical Biol. Eng. Comput., 2013)

Patient specific fluid-structure ventricular modelling for integrated cardiac care. - Adelaide de Vecchi; David A. Nordsletten; Reza Razavi; Gerald Greil; Nicolas Smith (Medical Biol. Eng. Comput., 2013)

Pressure mapping from flow imaging: Enhancing computation of the viscous term through velocity reconstruction in near-wall regions. - Fabrizio Donati; David A. Nordsletten; Nicolas P. Smith; Pablo Lamata (EMBC, 2014)

STACOM Challenge: Simulating Left Ventricular Mechanics in the Canine Heart. - Liya Asner; Myrianthi Hadjicharalambous; Jack Lee; David Nordsletten (STACOM, 2014)

Computational analysis of the importance of flow synchrony for cardiac ventricular assist devices. - Matthew McCormick 002; David Nordsletten; Pablo Lamata; Nicolas Smith (Comput. Biol. Medicine, 2014)

A spatially-distributed computational model to quantify behaviour of contrast agents in MR perfusion imaging. - Andrew N. Cookson; Jack Lee; Christian Michler; Radomír Chabiniok; Eoin R. Hyde; David Nordsletten; Nicolas Smith (Medical Image Anal., 2014)

Catheter-Induced Errors in Pressure Measurements in Vessels: An In-Vitro and Numerical Study. - Adelaide de Vecchi; Rachel E. Clough; Nicholas R. Gaddum; Marcel C. M. Rutten; Pablo Lamata; Tobias Schaeffter; David A. Nordsletten; Nicolas Smith (IEEE Trans. Biomed. Eng., 2014)

Steps Towards Quantification of the Cardiological Stress Exam. - Radomír Chabiniok; E. Sammut; Myrianthi Hadjicharalambous; Liya Asner; David Nordsletten; Reza Razavi; N. cSmith (FIMH, 2015)

Non-invasive pressure difference estimation from PC-MRI using the work-energy equation. - Fabrizio Donati; C. Alberto Figueroa; Nicolas P. Smith; Pablo Lamata; David A. Nordsletten (Medical Image Anal., 2015)

Eidolon: Visualization and Computational Framework for Multi-modal Biomedical Data Analysis. - Eric Kerfoot; Lauren Fovargue; Simone Rivolo; Wenzhe Shi; Daniel Rueckert; David Nordsletten; Jack Lee; Radomír Chabiniok; Reza Razavi (MIAR, 2016)

Learning Optimal Spatial Scales for Cardiac Strain Analysis Using a Motion Atlas. - Matthew Sinclair; Devis Peressutti; Esther Puyol-Antón; Wenjia Bai; David Nordsletten; Myrianthi Hadjicharalambous; Eric Kerfoot; Tom Jackson; Simon Claridge; C. Aldo Rinaldi; Daniel Rueckert; Andrew P. King (STACOM@MICCAI, 2016)

A novel methodology for personalized simulations of ventricular hemodynamics from noninvasive imaging data. - Adelaide de Vecchi; Alberto Gómez 002; Kuberan Pushparajah; Tobias Schaeffter; John M. Simpson; Reza Razavi; Graeme P. Penney; Nicolas P. Smith; David A. Nordsletten (Comput. Medical Imaging Graph., 2016)

Multiphysics Computational Modeling in CHeart. - Jack Lee; Andrew N. Cookson; Ishani Roy; Eric Kerfoot; Liya Asner; Guillermo Vigueras; Taha Sochi; Simone Deparis; Christian Michler; Nicolas P. Smith; David A. Nordsletten (SIAM J. Sci. Comput., 2016)

Computational Evaluation of Radiofrequency Catheter Ablation Settings for Variable Atrial Tissue Depth and Blood Flow Conditions. - Desmond Dillon-Murphy; David Nordsletten; Navjeevan Soor; Henry Chubb; Mark D. O'Neill; Adelaide de Vecchi; Oleg V. Aslanidi (CinC, 2017)

Feasibility of the Estimation of Myocardial Stiffness with Reduced 2D Deformation Data. - Anastasia Nasopoulou; David A. Nordsletten; Steven A. Niederer; Pablo Lamata (FIMH, 2017)

Semi-automatic Cardiac and Respiratory Gated MRI for Cardiac Assessment During Exercise. - Bram Ruijsink; Esther Puyol-Antón; Muhammad Usman 014; Joshua van Amerom; Phuoc Duong; Mari Nieves Velasco Forte; Kuberan Pushparajah; Alessandra Frigiola; David A. Nordsletten; Andrew P. King; Reza Razavi (CMMI/RAMBO/SWITCH@MICCAI, 2017)

A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction. - Devis Peressutti; Matthew Sinclair; Wenjia Bai; Thomas Jackson; Jacobus Ruijsink; David Nordsletten; Liya Asner; Myrianthi Hadjicharalambous; Christopher Aldo Rinaldi; Daniel Rueckert; Andrew P. King (Medical Image Anal., 2017)

Computational Modelling of Electro-Mechanical Coupling in the Atria and Its Changes During Atrial Fibrillation. - Sofia Monaci; David Nordsletten; Oleg V. Aslanidi (STACOM@MICCAI, 2018)

Robust MR elastography stiffness quantification using a localized divergence free finite element reconstruction. - Daniel Fovargue; Sebastian Kozerke; Ralph Sinkus; David Nordsletten (Medical Image Anal., 2018)

Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients. - Matthew Sinclair; Devis Peressutti; Esther Puyol-Antón; Wenjia Bai; Simone Rivolo; Jessica Webb; Simon Claridge; Thomas Jackson; David Nordsletten; Myrianthi Hadjicharalambous; Eric Kerfoot; Christopher Aldo Rinaldi; et al. (Medical Image Anal., 2018)

Convergence of the multigrid reduction in time algorithm for the linear elasticity equations. - Andreas Hessenthaler; David Nordsletten; Oliver Röhrle; Jacob B. Schroder; Robert D. Falgout (Numer. Linear Algebra Appl., 2018)

Solution to the Unknown Boundary Tractions in Myocardial Material Parameter Estimations. - Anastasia Nasopoulou; David A. Nordsletten; Steven A. Niederer; Pablo Lamata (FIMH, 2019)

A partition of unity approach to fluid mechanics and fluid-structure interaction. - Maximilian Balmus; André Massing; Johan Hoffman; Reza Razavi; David Nordsletten (CoRR, 2019)

A Class of Analytic Solutions for Verification and Convergence Analysis of Linear and Nonlinear Fluid-Structure Interaction Algorithms. - Andreas Hessenthaler; Maximilian Balmus; Oliver Röhrle; David Nordsletten (CoRR, 2019)

Modelling Left Atrial Flow and Blood Coagulation for Risk of Thrombus Formation in Atrial Fibrillation. - Ahmed Qureshi; Omar Darwish; Desmond Dillon-Murphy; Henry Chubb; Steven Williams 001; Dmitry Nechipurenko; Fazoil Ataullakhanov; David Nordsletten; Oleg V. Aslanidi; Adelaide de Vecchi (CinC, 2020)

Estimation of Cardiac Valve Annuli Motion with Deep Learning. - Eric Kerfoot; Carlos Escudero King; Tefvik Ismail; David Nordsletten; Renee M. Miller (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy. - David Marlevi; Hojin Ha; Desmond Dillon-Murphy; João Filipe Fernandes; Daniel Fovargue; Massimiliano Colarieti-Tosti; Matilda Larsson; Pablo Lamata; C. Alberto Figueroa; Tino Ebbers; David A. Nordsletten (Medical Image Anal., 2020)

Multilevel Convergence Analysis of Multigrid-Reduction-in-Time. - Andreas Hessenthaler; Ben S. Southworth; David Nordsletten; Oliver Röhrle; Robert D. Falgout; Jacob B. Schroder (SIAM J. Sci. Comput., 2020)

Left Atrial Appendage Morphology Impacts Thrombus Formation Risks in Multi-Physics Atrial Models. - Ahmed Qureshi; Maximilian Balmus; Dmitry Nechipurenko; Fazoil Ataullakhanov; Steven Williams 001; Gregory Yoke Hong Lip; David Nordsletten; Oleg V. Aslanidi; Adelaide de Vecchi (CinC, 2021)

An Exploratory Assessment of Focused Septal Growth in Hypertrophic Cardiomyopathy. - Sandra P. Hager; Will Zhang; Renee M. Miller; Jack Lee; David A. Nordsletten (FIMH, 2021)

Time-periodic steady-state solution of fluid-structure interaction and cardiac flow problems through multigrid-reduction-in-time. - Andreas Hessenthaler; Robert D. Falgout; Jacob B. Schroder; Adelaide de Vecchi; David Nordsletten; Oliver Röhrle (CoRR, 2021)

Magnetic Resonance Elastography Reconstruction for Anisotropic Tissues. - Behzad Babaei; Daniel Fovargue; Robert A. Lloyd; Renee Miller; Lauriane Jugé; Max Kaplan; Ralph Sinkus; David A. Nordsletten; Lynne E. Bilston (Medical Image Anal., 2021)

Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy. - David Marlevi; Maximilian Balmus; Andreas Hessenthaler; Federica Viola; Daniel Fovargue; Adelaide de Vecchi; Pablo Lamata; Nicholas S. Burris; Francis D. Pagani; Jan E. Engvall; Elazer R. Edelman; Tino Ebbers; et al. (Medical Image Anal., 2021)

CRIMSON: An open-source software framework for cardiovascular integrated modelling and simulation. - Christopher J. Arthurs; Rostislav Khlebnikov; Alex Melville; Marija Marcan; Alberto Gómez 002; Desmond Dillon-Murphy; Federica Cuomo; Miguel Silva Vieira; Jonas Schollenberger; Sabrina R. Lynch; Christopher Tossas-Betancourt; Kritika Iyer; et al. (PLoS Comput. Biol., 2021)

Modelling Virchow's Triad to Improve Stroke Risk Assessment in Atrial Fibrillation Patients. - Ahmed Qureshi; Maximilian Balmus; Steven E. Williams; Gregory Yoke Hong Lip; David A. Nordsletten; Oleg V. Aslanidi; Adelaide de Vecchi (CinC, 2022)

Modelling Blood Flow and Biochemical Reactions Underlying Thrombogenesis in Atrial Fibrillation. - Ahmed Qureshi; Maximilian Balmus; Shaheim Ogbomo-Harmitt; Dmitry Nechipurenko; Fazoil Ataullakhanov; Gregory Yoke Hong Lip; Steven E. Williams; David Nordsletten; Oleg V. Aslanidi; Adelaide de Vecchi (FIMH, 2023)

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. - Edward Ferdian; David Marlevi; Jonas Schollenberger; Maria Aristova; Elazer R. Edelman; Susanne Schnell; C. Alberto Figueroa; David Nordsletten; Alistair A. Young (Medical Image Anal., 2023)

Fluid-reduced-solid interaction (FrSI): Physics- and projection-based model reduction for cardiovascular applications. - Marc Hirschvogel; Maximilian Balmus; Mia Bonini; David Nordsletten (J. Comput. Phys., 2024)

Generalized Super-Resolution 4D Flow MRI - Using Ensemble Learning to Extend Across the Cardiovascular System. - Leon Ericsson; Adam Hjalmarsson; Muhammad Usman Akbar; Edward Ferdian; Mia Bonini; Brandon Hardy; Jonas Schollenberger; Maria Aristova; Patrick Winter; Nicholas S. Burris; Alexander Fyrdahl; Andreas Sigfridsson; et al. (IEEE J. Biomed. Health Informatics, 2024)

Patient-Specific Hemodynamic Modeling for Patients with Left Ventricle Assist Device. - Mia Bonini; Marc Hirshvogel; Francis D. Pagani; Paul Tang; David Nordsletten (FIMH (2), 2025)

Identification of the Unloaded Heart Configuration Including External Interactions. - Javiera Jilberto; David Nordsletten (FIMH (1), 2025)

MRI-based modelling of left atrial flow and coagulation to predict risk of thrombogenesis in atrial fibrillation. - Ahmed Qureshi; Paolo Melidoro; Maximilian Balmus; Gregory Yoke Hong Lip; David A. Nordsletten; Steven E. Williams; Oleg V. Aslanidi; Adelaide de Vecchi (Medical Image Anal., 2025)

Deep learning for temporal super-resolution 4D Flow MRI. - Pia Callmer; Mia Bonini; Edward Ferdian; David Nordsletten; Daniel Giese; Alistair A. Young; Alexander Fyrdahl; David Marlevi (CoRR, 2025)