E. T. Chang

Mechanisms of stochastic onset and termination of atrial fibrillation episodes: Insights using a cellular automaton model

R. Clayton, T. Galla, Y. Lin, 2016, 1612.03403.

Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia

Barbara M. Johnston, S. Coveney, R. Clayton, 2017, Medical & Biological Engineering & Computing.

A Stochastic Individual-Based Model of the Progression of Atrial Fibrillation in Individuals and Populations

Tobias Galla, Richard H Clayton, Julie Eatock, 2016, PloS one.

Modelling the progression of atrial fibrillation: A stochastic individual-based approach

R. Clayton, T. Galla, Y. Lin, 2015, 1507.07358.

Variance Based Sensitivity Analysis of I_Kr in a Model of the Human Atrial Action Potential Using Gaussian Process Emulators

Richard H. Clayton, Sam Coveney, Eugene T. Y. Chang, 2017, FIMH.

Bayesian Sensitivity Analysis of a Cardiac Cell Model Using a Gaussian Process Emulator

Mark Strong, Richard H Clayton, Eugene T Y Chang, 2015, PloS one.

Correction: Bayesian Sensitivity Analysis of a Cardiac Cell Model Using a Gaussian Process Emulator

Mark Strong, Richard H Clayton, Eugene T Y Chang, 2015, PloS one.

Mechanisms of stochastic onset and termination of atrial fibrillation studied with a cellular automaton model

Tobias Galla, Richard H Clayton, Yen Ting Lin, 2017, Journal of The Royal Society Interface.

Uncertainty and sensitivity analysis of the Courtemanche-Ramirez-Nattel human atrial cell model using Gaussian Process emulators

Richard H. Clayton, Eugene T. Y. Chang, R. Clayton, 2015, 2015 Computing in Cardiology Conference (CinC).