default search action
Richard H. Clayton
Person information
- affiliation: University of Sheffield, Department of Computer Science, UK
- affiliation: Insigneo Institute for in-silico Medicine, Sheffield, UK
- affiliation (former): University of Leeds, School of Biomedical Sciences, UK
- affiliation (PhD): University in Newcastle upon Tyne, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j18]Michail Mamalakis
, Abhirup Banerjee, Surajit Ray, Craig Wilkie, Richard H. Clayton, Andrew J. Swift, George Panoutsos, Bart Vorselaars
Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning. Neural Comput. Appl. 36(30): 18841-18862 (2024) - 2023
- [j17]Michail Mamalakis
Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar. Artif. Intell. Medicine 143: 102610 (2023) - [j16]Cesare Corrado
Quantifying the impact of shape uncertainty on predicted arrhythmias. Comput. Biol. Medicine 153: 106528 (2023) - [j15]Michail Mamalakis
Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle. Comput. Medical Imaging Graph. 103: 102152 (2023) - 2022
- [c15]Sam Coveney, Cesare Corrado, Caroline H. Roney
A Workflow for Probabilistic Calibration of Models of Left Atrial Electrophysiology. CinC 2022: 1-4 - 2021
- [j14]Michail Mamalakis
MA-SOCRATIS: An automatic pipeline for robust segmentation of the left ventricle and scar. Comput. Medical Imaging Graph. 93: 101982 (2021) - [j13]Michail Mamalakis
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: 102008 (2021) - [i2]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 abs/2104.04006 (2021) - 2020
- [j12]Cesare Corrado
Quantifying atrial anatomy uncertainty from clinical data and its impact on electro-physiology simulation predictions. Medical Image Anal. 61: 101626 (2020) - [j11]Sam Coveney
Probabilistic Interpolation of Uncertain Local Activation Times on Human Atrial Manifolds. IEEE Trans. Biomed. Eng. 67(1): 99-109 (2020) - [i1]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 abs/2004.10586 (2020)
2010 – 2019
- 2018
- [j10]Barbara M. Johnston
Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia. Medical Biol. Eng. Comput. 56(5): 761-780 (2018) - [c14]Cesare Corrado, Steven Williams, Iain Sim, Sam Coveney, Mark D. O'Neill
An Algorithm to Sample an Anatomy With Uncertainty. CinC 2018: 1-4 - 2017
- [c13]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: 249-259 - 2015
- [c12]Julie Eatock, Yen Ting Lin
Assessing Measures of Atrial Fibrillation Clustering via Stochastic Models of Episode Recurrence and Disease Progression. CinC 2015: 265-268 - [c11]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: 441-444 - [c10]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: 857-860 - 2014
- [j9]Ivan V. Kazbanov, Richard H. Clayton
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) - [c9]Mitra Abbasi, Richard H. Clayton:
Formulation of ATP Sensitive K+ Current and Action Potential Shape in Models of Human Ventricular Myocytes. CinC 2014: 201-204 - [c8]Eugene T. Y. Chang, Richard H. Clayton:
Parameter Sensitivity Analysis of a Human Atrial Cell Model using Multivariate Regression. CinC 2014: 521-524 - [c7]Sathyavani Malyala, Richard H. Clayton:
The Effect of Scar Tissue on Complexity of Activation Patterns in Simulated Human Ventricular Fibrillation. CinC 2014: 1133-1136 - 2013
- [c6]Mitra Abbasi, Richard H. Clayton:
A Comparison of Two Models of Human Ventricular Tissue: Simulated Ischaemia and Re-entry. CinC 2013: 385-388 - [c5]Sathyavani Malyala, Richard H. Clayton:
Clustering of Re-entry Close to Scar Boundaries in Ventricular Tissue during Simulated Ventricular Fibrillation. CinC 2013: 1131-1134 - [c4]Richard H. Clayton
Models of ventricular arrhythmia mechanisms. EMBC 2013: 1526-1529
2000 – 2009
- 2009
- [j8]Simon Scarle, Richard H. Clayton
Early afterdepolarisations and ventricular arrhythmias in cardiac tissue: a computational study. Medical Biol. Eng. Comput. 47(3): 291-300 (2009) - 2006
- [c3]James W. Handley, Ken W. Brodlie
Multi-Variate Visualization of Cardiac Virtual Tissue. CBMS 2006: 665-672 - 2005
- [c2]Ekaterina Zhuchkova, Richard H. Clayton:
Methods for Identifying and Tracking Phase Singularities in Computational Models of Re-entrant Fibrillation. FIMH 2005: 246-255 - 2004
- [j7]Richard H. Clayton
Filament behavior in a computational model of ventricular fibrillation in the canine heart. IEEE Trans. Biomed. Eng. 51(1): 28-34 (2004) - 2003
- [j6]Richard H. Clayton
Editorial. Int. J. Bifurc. Chaos 13(12): 3531-3534 (2003) - [j5]Min Chen, John V. Tucker, Richard H. Clayton
Constructive Volume Geometry Applied to Visualization of Cardiac Anatomy and Electrophysiology. Int. J. Bifurc. Chaos 13(12): 3591-3604 (2003) - [j4]Richard H. Clayton
Dynamics and Interaction of Filaments during reentry and Fibrillation in mammalian Virtual Ventricular Tissue. Int. J. Bifurc. Chaos 13(12): 3733-3745 (2003) - [j3]Richard H. Clayton
Can Endogenous, Noise-Triggered Early after-Depolarizations Initiate reentry in a Modified Luo-rudy Ventricular Virtual Tissue? Int. J. Bifurc. Chaos 13(12): 3835-3843 (2003) - [j2]Oleg V. Aslanidi
Vulnerability to reentry, and Drift, Stability and breakdown of Spiral Waves in a Linear Gradient of Gk in a Luo-rudy 1 Virtual Ventricular Tissue. Int. J. Bifurc. Chaos 13(12): 3865-3871 (2003) - [c1]Min Chen, Richard H. Clayton, Arun V. Holden, John V. Tucker:
Visualising Cardiac Anatomy Using Constructive Volume Geometry. FIMH 2003: 30-38 - 2001
- [j1]Michael Small
Temporal Evolution of nonlinear Dynamics in Ventricular Arrhythmia. Int. J. Bifurc. Chaos 11(10): 2531-2548 (2001)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:06 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: