94 citations · 123 across the 6 of their papers we have counts for
7 papers
Calibrating cardiac electrophysiology models using latent Gaussian processes on atrial manifolds
Sam Coveney, Caroline H Roney, Cesare Corrado +4
Models of electrical excitation and recovery in the heart have become increasingly detailed, but have yet to be used routinely in the clinical setting to guide personalized interve…
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays
Michail Mamalakis, Andrew J. Swift, Bart Vorselaars +6
The global pandemic of COVID-19 is continuing to have a significant effect on the well-being of global population, increasing the demand for rapid testing, diagnosis, and treatment…
Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity
Sam Coveney, Cesare Corrado, Caroline H Roney +7
In patients with atrial fibrillation, local activation time (LAT) maps are routinely used for characterising patient pathophysiology. The gradient of LAT maps can be used to calcul…
Mechanisms of stochastic onset and termination of atrial fibrillation episodes: Insights using a cellular automaton model
Yen Ting Lin, Eugene TY Chang, Julie Eatock +2
Mathematical models of cardiac electrical excitation are increasingly complex, with multiscale models seeking to represent and bridge physiological behaviours across temporal and s…
Modelling afferent nerve responses to bladder filling
Maryam Argungu, Saziye Bayram, Bindi Brook +9
A sensation of fullness in the bladder is a regular experience, yet the mechanisms that act to generate this sensation remain poorly understood. This is an important issue because…
Assessing Measures of Atrial Fibrillation Clustering via Stochastic Models of Episode Recurrence and Disease Progression
Julie Eatock, Yen Ting Lin, Eugene T. Y. Chang +2
Atrial fibrillation (AF) is a leading cause of morbidity and mortality. AF prevalence increases with age, which is attributed to pathophysiological changes that aid AF initiation a…
Modelling the progression of atrial fibrillation: A stochastic individual-based approach
Eugene TY Chang, Yen Ting Lin, Tobias Galla +2
We propose a stochastic individual-based model of the progression of atrial fibrillation (AF). The model operates at patient level over a lifetime and is based on elements of the p…