World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
7733
World Ranking
6503
National Ranking
24

Overview

Martyn P. Nash is affiliated with the University of Auckland in New Zealand. Their research primarily focuses on Medicine, with a specialization in Cardiology and Cardiovascular Medicine. Additional areas of study include Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery, and Computer Vision and Pattern Recognition.

The scientist has contributed extensively to the literature on cardiovascular function, cardiac imaging, and cardiac electrophysiology, addressing topics such as cardiovascular function and risk factors, advanced MRI techniques, cardiac valve diseases, elasticity and material modeling, and disease prevention.

Prominent publication venues for Martyn P. Nash include:

  • Heart Lung and Circulation
  • European Heart Journal
  • Frontiers in Physiology
  • Heart Rhythm
  • Scientific Reports

Frequent coauthors allied with their research are:

  • Debbie Zhao
  • Alistair A. Young
  • Malcolm E. Legget
  • Thiranja P. Babarenda Gamage
  • Robert N. Doughty

Some recent publications by Martyn P. Nash include:

  • "Passive myocardial mechanical properties: meaning, measurement, models" (2021) published in Biophysical Reviews
  • "MITEA: A dataset for machine learning segmentation of the left ventricle in 3D echocardiography using subject-specific labels from cardiac magnetic resonance imaging" (2023) published in Frontiers in Cardiovascular Medicine
  • "Systematic Comparison of Left Ventricular Geometry Between 3D-Echocardiography and Cardiac Magnetic Resonance Imaging" (2021) published in Frontiers in Cardiovascular Medicine
  • "Evaluation of left ventricular filling pressure by echocardiography in patients with atrial fibrillation" (2024) published in Echo Research and Practice
  • "M/M/Infinity Birth-Death Processes - A Quantitative Representational Framework to Summarize and Explain Phase Singularity and Wavelet Dynamics in Atrial Fibrillation" (2021) published in Frontiers in Physiology

The scientist's work covers a range of topics related to cardiac function and diagnostics, including cardiovascular health, cardiac imaging technologies, and arrhythmias. Their contributions to biomedical engineering and imaging techniques are interconnected with clinical cardiology and surgery, reflecting a multidisciplinary approach.

Best Publications

  • Computational Mechanics of the Heart

    M. P. Nash;P. J. Hunter

  • Electromechanical model of excitable tissue to study reentrant cardiac arrhythmias.

    Martyn P. Nash;Alexander V. Panfilov;Alexander V. Panfilov

  • Computational mechanics of the heart : From tissue structure to ventricular function

    M. P. Nash;P. J. Hunter

  • Evidence for Multiple Mechanisms in Human Ventricular Fibrillation

    Martyn P. Nash;Ayman Mourad;Richard H. Clayton;Peter M. Sutton

  • Multiphysics and multiscale modelling, data-model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics.

    Radomir Chabiniok;Radomir Chabiniok;Vicky Y. Wang;Myrianthi Hadjicharalambous;Liya Asner

  • Coupling multi-physics models to cardiac mechanics.

    David Nordsletten;SA Niederer;Martyn Nash;Peter Hunter

  • Modelling passive diastolic mechanics with quantitative MRI of cardiac structure and function

    Vicky Y. Wang;H.I. Lam;Daniel B. Ennis;Brett R. Cowan

  • Phase Mapping of Cardiac Fibrillation

    Karthikeyan Umapathy;Krishnakumar Nair;Stephane Masse;Sridhar Krishnan

  • Mechanics and material properties of the heart using an anatomically accurate mathematical model.

    Martyn Nash

  • Supine and prone differences in regional lung density and pleural pressure gradients in the human lung with constant shape

    Merryn H. Tawhai;Martyn P. Nash;Ching-Long Lin;Eric A. Hoffman

  • OpenCMISS:A multi-physics & multi-scale computational infrastructure for the VPH/Physiome project

    Chris Bradley;Andy Bowery;Randall Britten;Vincent Budelmann

  • ECG signal classification for the detection of cardiac arrhythmias using a convolutional recurrent neural network.

    Zhaohan Xiong;Martyn P Nash;Elizabeth Cheng;Vadim V Fedorov

  • Drift and breakup of spiral waves in reaction-diffusion-mechanics systems.

    Alexander Panfilov;RH Keldermann;MP Nash

  • Self-organized pacemakers in a coupled reaction-diffusion-mechanics system

    A.V. Panfilov;R.H. Keldermann;M.P. Nash

  • Myocardial Material Parameter Estimation—A Comparative Study for Simple Shear

    H Schmid;Martyn Nash;Alistair Young;Peter Hunter

  • Verification of cardiac mechanics software: benchmark problems and solutions for testing active and passive material behaviour

    Sander Land;Viatcheslav Gurev;Sander Arens;Christoph M. Augustin

  • Electromechanical wavebreak in a model of the human left ventricle.

    RH Keldermann;MP Nash;H Gelderblom;VY Wang

  • Noninvasive electrical imaging of the heart: theory and model development.

    A J Pullan;L K Cheng;M P Nash;C P Bradley

  • Estimating material parameters of a structurally based constitutive relation for skin mechanics

    Jessica W. Y. Jor;Martyn P. Nash;Poul M. F. Nielsen;Peter J. Hunter

  • Suitability of recent hardware accelerators (DSPs, FPGAs, and GPUs) for computer vision and image processing algorithms

    Amir HajiRassouliha;Andrew J. Taberner;Martyn P. Nash;Poul M.F. Nielsen

  • Creating Individual-specific Biomechanical Models of the Breast for Medical Image Analysis

    Vijay Rajagopal;Angela Lee;Jae-Hoon Chung;Ruth Warren

Frequent Co-Authors

Poul M. F. Nielsen
Poul M. F. Nielsen University of Auckland
Peter Hunter
Peter Hunter University of Auckland
Andrew J. Pullan
Andrew J. Pullan University of Auckland
Leo K. Cheng
Leo K. Cheng University of Auckland
Edmund J. Crampin
Edmund J. Crampin University of Melbourne
Nicolas P. Smith
Nicolas P. Smith University of Auckland
Merryn H. Tawhai
Merryn H. Tawhai University of Auckland
Alejandro F. Frangi
Alejandro F. Frangi University of Manchester
Eric A. Hoffman
Eric A. Hoffman University of Iowa
Ching-Long Lin
Ching-Long Lin University of Iowa

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