Richard Wilkinson

According to our database, Richard Wilkinson authored at least 12 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Quantifying the impact of shape uncertainty on predicted arrhythmias.

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

Comput. Biol. Medicine, February, 2023

Cell to whole organ global sensitivity analysis on a four-chamber heart electromechanics model using Gaussian processes emulators.

Marina Strocchi, Stefano Longobardi, Christoph M. Augustin, Matthias A. F. Gsell, Argyrios Petras, Christopher A. Rinaldi, Edward J. Vigmond, Gernot Plank, Chris J. Oates, Richard D. Wilkinson, Steven A. Niederer

PLoS Comput. Biol., 2023

2022

Modelling calibration uncertainty in networks of environmental sensors.

Michael Thomas Smith, Magnus Ross, Joel Ssematimba, Pablo A. Alvarado, Mauricio A. Álvarez, Engineer Bainomugisha, Richard Wilkinson

CoRR, 2022

Adjoint-aided inference of Gaussian process driven differential equations.

Paterne Gahungu, Christopher W. Lanyon, Mauricio A. Álvarez, Engineer Bainomugisha, Michael T. Smith, Richard Wilkinson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Workflow for Probabilistic Calibration of Models of Left Atrial Electrophysiology.

Sam Coveney, Cesare Corrado, Caroline H. Roney, Richard D. Wilkinson, Jeremy E. Oakley, Steven A. Niederer, Richard H. Clayton

Proceedings of the Computing in Cardiology, 2022

2020

Probabilistic Interpolation of Uncertain Local Activation Times on Human Atrial Manifolds.

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

IEEE Trans. Biomed. Eng., 2020

Quantifying atrial anatomy uncertainty from clinical data and its impact on electro-physiology simulation predictions.

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

Medical Image Anal., 2020

Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity.

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

CoRR, 2020

2019

Anomaly Detection Semi-Supervised Framework for Sepsis Treatment.

Ines Krissaane, Kingsley Hampton, Jumanah Alshenaifi, Richard Wilkinson

Proceedings of the 46th Computing in Cardiology, 2019

2018

An Algorithm to Sample an Anatomy With Uncertainty.

Cesare Corrado, Steven Williams, Iain Sim, Sam Coveney, Mark D. O'Neill, Richard Wilkinson, Jeremy E. Oakley, Richard H. Clayton, Steven A. Niederer

Proceedings of the Computing in Cardiology, 2018

2017

Gaussian process emulators for quantifying uncertainty in CO₂ spreading predictions in heterogeneous media.

Liang Tian, Richard Wilkinson, Zhibing Yang, Henry Power, Fritjof Fagerlund, Auli Niemi

Comput. Geosci., 2017

2014

Accelerating ABC methods using Gaussian processes.

Richard Wilkinson

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014