Richard H. Clayton - researchr alias

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Viewing Publication 1 - 29 from 29

2023

Quantifying the impact of shape uncertainty on predicted arrhythmiasCesare Corrado, Caroline H. Roney, Orod Razeghi, José Alonso Solís-Lemus, Sam Coveney, Iain Sim, Steven E. Williams, Mark D. O'Neill, Richard D. Wilkinson, Richard H. Clayton, Steven A. Niederer. cbm, 153:106528, February 2023. [doi]

Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricleMichail Mamalakis, Pankaj Garg, Tom Nelson, Justin Lee, Andrew J. Swift, Jim M. Wild, Richard H. Clayton. cmig, 103:102152, 2023. [doi]

Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scarMichail Mamalakis, Pankaj Garg, Tom Nelson, Justin Lee, Andrew J. Swift, James M. Wild, Richard H. Clayton. artmed, 143:102610, September 2023. [doi]

2022

A Workflow for Probabilistic Calibration of Models of Left Atrial ElectrophysiologySam Coveney, Cesare Corrado, Caroline H. Roney, Richard D. Wilkinson, Jeremy E. Oakley, Steven A. Niederer, Richard H. Clayton. cinc 2022: 1-4 [doi]

2021

2020

2018

2017

Variance Based Sensitivity Analysis of I_Kr in a Model of the Human Atrial Action Potential Using Gaussian Process EmulatorsEugene T. Y. Chang, Sam Coveney, Richard H. Clayton. fimh 2017: 249-259 [doi]

2015

Parameter Sensitivity from Single Atrial Cell to Tissue: How Much does it Matter? A Simulation and Multivariate Regression StudyEugene T. Y. Chang, Richard H. Clayton. cinc 2015: 441-444 [doi]

Uncertainty and Sensitivity Analysis of the Courtemanche-Ramirez-Nattel Human Atrial Cell Model using Gaussian Process EmulatorsEugene T. Y. Chang, Richard H. Clayton. cinc 2015: 857-860 [doi]

Assessing Measures of Atrial Fibrillation Clustering via Stochastic Models of Episode Recurrence and Disease ProgressionJulie Eatock, Yen-Ting Lin, Eugene T. Y. Chang, Tobias Galla, Richard H. Clayton. cinc 2015: 265-268 [doi]

2014

2013

A Comparison of Two Models of Human Ventricular Tissue: Simulated Ischaemia and Re-entryMitra Abbasi, Richard H. Clayton. cinc 2013: 385-388 [doi]

Models of ventricular arrhythmia mechanismsRichard H. Clayton. embc 2013: 1526-1529 [doi]

Clustering of Re-entry Close to Scar Boundaries in Ventricular Tissue during Simulated Ventricular FibrillationSathyavani Malyala, Richard H. Clayton. cinc 2013: 1131-1134 [doi]

2009

Early afterdepolarisations and ventricular arrhythmias in cardiac tissue: a computational studySimon Scarle, Richard H. Clayton. mbec, 47(3):291-300, 2009. [doi]

2004

Filament behavior in a computational model of ventricular fibrillation in the canine heartRichard H. Clayton, Arun V. Holden. tbe, 51(1):28-34, 2004. [doi]

2003

Vulnerability to reentry, and Drift, Stability and breakdown of Spiral Waves in a Linear Gradient of G::k:: in a Luo-rudy 1 Virtual Ventricular TissueOleg V. Aslanidi, Richard H. Clayton, Arun V. Holden, H. K. Phillips, R. J. Ward. IJBC, 13(12):3865-3871, 2003. [doi]

Visualising Cardiac Anatomy Using Constructive Volume GeometryMin Chen, Richard H. Clayton, Arun V. Holden, J. V. Tucker. fimh 2003: 30-38 [doi]

Constructive Volume Geometry Applied to Visualization of Cardiac Anatomy and ElectrophysiologyMin Chen, John V. Tucker, Richard H. Clayton, Arun V. Holden. IJBC, 13(12):3591-3604, 2003. [doi]

EditorialRichard H. Clayton, Arun V. Holden. IJBC, 13(12):3531-3534, 2003. [doi]

Dynamics and Interaction of Filaments during reentry and Fibrillation in mammalian Virtual Ventricular TissueRichard H. Clayton, Arun V. Holden. IJBC, 13(12):3733-3745, 2003. [doi]

Can Endogenous, Noise-Triggered Early after-Depolarizations Initiate reentry in a Modified Luo-rudy Ventricular Virtual Tissue?Richard H. Clayton, Arun V. Holden, W. C. Tong. IJBC, 13(12):3835-3843, 2003. [doi]

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