Richard H. Clayton

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 13

Top Topics

Robust Segmentation

Sensitivity Analysis

Top Venues

Comput. Medical Imaging Graph.

Artif. Intell. Medicine

Publications

Cesare 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
Quantifying the impact of shape uncertainty on predicted arrhythmias. Comput. Biol. Medicine 153 (2023)
Michail Mamalakis, Pankaj Garg, Tom Nelson, Justin Lee, Andrew J. Swift, Jim M. Wild, Richard H. Clayton
Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle. Comput. Medical Imaging Graph. 103 (2023)
Michail Mamalakis, Pankaj Garg, Tom Nelson, Justin Lee, Andrew J. Swift, James M. Wild, Richard H. Clayton
Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar. Artif. Intell. Medicine 143 (2023)
Sam Coveney, Cesare Corrado, Caroline H. Roney, Richard D. Wilkinson, Jeremy E. Oakley, Steven A. Niederer, Richard H. Clayton
A Workflow for Probabilistic Calibration of Models of Left Atrial Electrophysiology. CinC (2022)
Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. CoRR (2021)
Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. Comput. Medical Imaging Graph. 94 (2021)
Michail Mamalakis, Pankaj Garg, Tom Nelson, Justin Lee, Jim M. Wild, Richard H. Clayton
MA-SOCRATIS: An automatic pipeline for robust segmentation of the left ventricle and scar. Comput. Medical Imaging Graph. 93 (2021)
Cesare Corrado, Orod Razeghi, Caroline H. Roney, Sam Coveney, Steven Williams, Iain Sim, Mark D. O'Neill, Richard Wilkinson, Jeremy E. Oakley, Richard H. Clayton, Steven A. Niederer
Quantifying atrial anatomy uncertainty from clinical data and its impact on electro-physiology simulation predictions. Medical Image Anal. 61 (2020)
Sam Coveney, Richard H. Clayton, Cesare Corrado, Caroline H. Roney, Richard Wilkinson, Jeremy E. Oakley, Finn Lindgren, Steven E. Williams, Mark D. O'Neill, Steven A. Niederer
Probabilistic Interpolation of Uncertain Local Activation Times on Human Atrial Manifolds. IEEE Trans. Biomed. Eng. 67 (1) (2020)
Sam Coveney, Cesare Corrado, Caroline H. Roney, Daniel O'Hare, Steven E. Williams, Mark D. O'Neill, Steven A. Niederer, Richard H. Clayton, Jeremy E. Oakley, Richard D. Wilkinson
Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity. CoRR (2020)
Cesare Corrado, Steven Williams, Iain Sim, Sam Coveney, Mark D. O'Neill, Richard Wilkinson, Jeremy E. Oakley, Richard H. Clayton, Steven A. Niederer
An Algorithm to Sample an Anatomy With Uncertainty. CinC (2018)
Barbara M. Johnston, Sam Coveney, Eugene T. Y. Chang, Peter R. Johnston, Richard H. Clayton
Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia. Medical Biol. Eng. Comput. 56 (5) (2018)
Eugene T. Y. Chang, Sam Coveney, Richard H. Clayton
Variance Based Sensitivity Analysis of I_Kr in a Model of the Human Atrial Action Potential Using Gaussian Process Emulators. FIMH (2017)
Eugene T. Y. Chang, Richard H. Clayton
Parameter Sensitivity from Single Atrial Cell to Tissue: How Much does it Matter? A Simulation and Multivariate Regression Study. CinC (2015)
Eugene T. Y. Chang, Richard H. Clayton
Uncertainty and Sensitivity Analysis of the Courtemanche-Ramirez-Nattel Human Atrial Cell Model using Gaussian Process Emulators. CinC (2015)
Julie Eatock, Yen Ting Lin, Eugene T. Y. Chang, Tobias Galla, Richard H. Clayton
Assessing Measures of Atrial Fibrillation Clustering via Stochastic Models of Episode Recurrence and Disease Progression. CinC (2015)
Sathyavani Malyala, Richard H. Clayton
The Effect of Scar Tissue on Complexity of Activation Patterns in Simulated Human Ventricular Fibrillation. CinC (2014)
Ivan V. Kazbanov, Richard H. Clayton, Martyn P. Nash, Chris P. Bradley, David J. Paterson, Martin P. Hayward, Peter Taggart, Alexander V. Panfilov
Effect of Global Cardiac Ischemia on Human Ventricular Fibrillation: Insights from a Multi-scale Mechanistic Model of the Human Heart. PLoS Comput. Biol. 10 (11) (2014)
Eugene T. Y. Chang, Richard H. Clayton
Parameter Sensitivity Analysis of a Human Atrial Cell Model using Multivariate Regression. CinC (2014)
Mitra Abbasi, Richard H. Clayton
Formulation of ATP Sensitive K+ Current and Action Potential Shape in Models of Human Ventricular Myocytes. CinC (2014)
Sathyavani Malyala, Richard H. Clayton
Clustering of Re-entry Close to Scar Boundaries in Ventricular Tissue during Simulated Ventricular Fibrillation. CinC (2013)
Richard H. Clayton
Models of ventricular arrhythmia mechanisms. EMBC (2013)
Mitra Abbasi, Richard H. Clayton
A Comparison of Two Models of Human Ventricular Tissue: Simulated Ischaemia and Re-entry. CinC (2013)
Simon Scarle, Richard H. Clayton
Early afterdepolarisations and ventricular arrhythmias in cardiac tissue: a computational study. Medical Biol. Eng. Comput. 47 (3) (2009)
James W. Handley, Ken W. Brodlie, Richard H. Clayton
Multi-Variate Visualization of Cardiac Virtual Tissue. CBMS (2006)
Ekaterina Zhuchkova, Richard H. Clayton
Methods for Identifying and Tracking Phase Singularities in Computational Models of Re-entrant Fibrillation. FIMH (2005)
Richard H. Clayton, Arun V. Holden
Filament behavior in a computational model of ventricular fibrillation in the canine heart. IEEE Trans. Biomed. Eng. 51 (1) (2004)
Oleg V. Aslanidi, Richard H. Clayton, Arun V. Holden, H. K. Phillips, R. J. Ward
in a Luo-rudy 1 Virtual Ventricular Tissue. Int. J. Bifurc. Chaos 13 (12) (2003)
Richard H. Clayton, Arun V. Holden
Dynamics and Interaction of Filaments during reentry and Fibrillation in mammalian Virtual Ventricular Tissue. Int. J. Bifurc. Chaos 13 (12) (2003)
Richard H. Clayton, Arun V. Holden, W. C. Tong
Can Endogenous, Noise-Triggered Early after-Depolarizations Initiate reentry in a Modified Luo-rudy Ventricular Virtual Tissue? Int. J. Bifurc. Chaos 13 (12) (2003)
Min Chen, John V. Tucker, Richard H. Clayton, Arun V. Holden
Constructive Volume Geometry Applied to Visualization of Cardiac Anatomy and Electrophysiology. Int. J. Bifurc. Chaos 13 (12) (2003)
Richard H. Clayton, Arun V. Holden
Editorial. Int. J. Bifurc. Chaos 13 (12) (2003)
Min Chen, Richard H. Clayton, Arun V. Holden, John V. Tucker
Visualising Cardiac Anatomy Using Constructive Volume Geometry. FIMH (2003)
Michael Small, Dejin Yu, Robert G. Harrison, Richard H. Clayton, Trygve Eftestøl, Kjetil Sunde, Petter Andreas Steen
Temporal Evolution of nonlinear Dynamics in Ventricular Arrhythmia. Int. J. Bifurc. Chaos 11 (10) (2001)