Richard H. Clayton
Orcid: 0000-0002-8438-7518Affiliations:
- University of Sheffield, Department of Computer Science, UK
- Insigneo Institute for in-silico Medicine, Sheffield, UK
- University of Leeds, School of Biomedical Sciences, UK (former)
- University in Newcastle upon Tyne, UK (PhD)
According to our database1,
Richard H. Clayton
authored at least 35 papers
between 2001 and 2024.
Collaborative distances:
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Bibliography
2024
Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning.
Neural Comput. Appl., October, 2024
Convergence, sampling and total order estimator effects on parameter orthogonality in global sensitivity analysis.
PLoS Comput. Biol., 2024
2023
Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar.
Artif. Intell. Medicine, September, 2023
Comput. Biol. Medicine, February, 2023
Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle.
Comput. Medical Imaging Graph., 2023
2022
Proceedings of the Computing in Cardiology, 2022
2021
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays.
Comput. Medical Imaging Graph., 2021
MA-SOCRATIS: An automatic pipeline for robust segmentation of the left ventricle and scar.
Comput. Medical Imaging Graph., 2021
2020
Probabilistic Interpolation of Uncertain Local Activation Times on Human Atrial Manifolds.
IEEE Trans. Biomed. Eng., 2020
Quantifying atrial anatomy uncertainty from clinical data and its impact on electro-physiology simulation predictions.
Medical Image Anal., 2020
Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity.
CoRR, 2020
2018
Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia.
Medical Biol. Eng. Comput., 2018
Proceedings of the Computing in Cardiology, 2018
2017
Variance Based Sensitivity Analysis of I_Kr in a Model of the Human Atrial Action Potential Using Gaussian Process Emulators.
Proceedings of the Functional Imaging and Modelling of the Heart, 2017
2015
Assessing Measures of Atrial Fibrillation Clustering via Stochastic Models of Episode Recurrence and Disease Progression.
Proceedings of the Computing in Cardiology, 2015
Uncertainty and Sensitivity Analysis of the Courtemanche-Ramirez-Nattel Human Atrial Cell Model using Gaussian Process Emulators.
Proceedings of the Computing in Cardiology, 2015
Parameter Sensitivity from Single Atrial Cell to Tissue: How Much does it Matter? A Simulation and Multivariate Regression Study.
Proceedings of the Computing in Cardiology, 2015
2014
Effect of Global Cardiac Ischemia on Human Ventricular Fibrillation: Insights from a Multi-scale Mechanistic Model of the Human Heart.
PLoS Comput. Biol., 2014
The Effect of Scar Tissue on Complexity of Activation Patterns in Simulated Human Ventricular Fibrillation.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Parameter Sensitivity Analysis of a Human Atrial Cell Model using Multivariate Regression.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Formulation of ATP Sensitive K+ Current and Action Potential Shape in Models of Human Ventricular Myocytes.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Clustering of Re-entry Close to Scar Boundaries in Ventricular Tissue during Simulated Ventricular Fibrillation.
Proceedings of the Computing in Cardiology, 2013
A Comparison of Two Models of Human Ventricular Tissue: Simulated Ischaemia and Re-entry.
Proceedings of the Computing in Cardiology, 2013
2009
Early afterdepolarisations and ventricular arrhythmias in cardiac tissue: a computational study.
Medical Biol. Eng. Comput., 2009
2006
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006
2005
Methods for Identifying and Tracking Phase Singularities in Computational Models of Re-entrant Fibrillation.
Proceedings of the Functional Imaging and Modeling of the Heart, 2005
2004
Filament behavior in a computational model of ventricular fibrillation in the canine heart.
IEEE Trans. Biomed. Eng., 2004
2003
Can Endogenous, Noise-Triggered Early after-Depolarizations Initiate reentry in a Modified Luo-rudy Ventricular Virtual Tissue?
Int. J. Bifurc. Chaos, 2003
Dynamics and Interaction of Filaments during reentry and Fibrillation in mammalian Virtual Ventricular Tissue.
Int. J. Bifurc. Chaos, 2003
Constructive Volume Geometry Applied to Visualization of Cardiac Anatomy and Electrophysiology.
Int. J. Bifurc. Chaos, 2003
Vulnerability to reentry, and Drift, Stability and breakdown of Spiral Waves in a Linear Gradient of G<sub>k</sub> in a Luo-rudy 1 Virtual Ventricular Tissue.
Int. J. Bifurc. Chaos, 2003
Proceedings of the Functional Imaging and Modeling of the Heart, 2003
2001
Int. J. Bifurc. Chaos, 2001