Sam Coveney

Sam Coveney

Research scientist, specializing in uncertainty quantification, probabilistic model calibration, and cardiac diffusion tensor imaging

Publications

Optimising Cardiac Diffusion Tensor Imaging In Vivo: More Directions or Repetitions?

Published in Journal of Cardiovascular Magnetic Resonance, 2025

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Recommended citation: Sam Coveney, David Shelley, Richard Foster, Maryam Afzali, Ana-Maria Poenar, Noor Sharrack, Sven Plein, Erica Dall’Armellina, Jürgen Schneider, Christopher Nguyen, Irvin Teh, "Optimising Cardiac Diffusion Tensor Imaging In Vivo: More Directions or Repetitions?." Journal of Cardiovascular Magnetic Resonance, 2025.
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Cardiac diffusion kurtosis imaging in the human heart in vivo using 300 mT/m gradients

Published in Magnetic Resonance in Medicine, 2025

_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.30626

Recommended citation: Maryam Afzali, Sam Coveney, Lars Mueller, Sarah Jones, Fabrizio Fasano, C. Evans, Irvin Teh, Erica Dall'Armellina, Filip Szczepankiewicz, Derek Jones, Jürgen Schneider, "Cardiac diffusion kurtosis imaging in the human heart in vivo using 300 mT/m gradients." Magnetic Resonance in Medicine, 2025.
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In vivo diffusion MRI of the human heart using a 300 mT/m gradient system

Published in Magnetic Resonance in Medicine, 2024

_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.30118

Recommended citation: Maryam Afzali, Lars Mueller, Sam Coveney, Fabrizio Fasano, Christopher Evans, Maria Engel, Filip Szczepankiewicz, Irvin Teh, Erica Dall'Armellina, Derek Jones, Jürgen Schneider, "In vivo diffusion MRI of the human heart using a 300 mT/m gradient system." Magnetic Resonance in Medicine, 2024.
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Measuring cardiomyocyte cellular characteristics in cardiac hypertrophy using diffusion‐weighted MRI

Published in Magnetic Resonance in Medicine, 2023

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Recommended citation: Mohsen Farzi, Sam Coveney, Maryam Afzali, Marie‐Christine Zdora, Craig Lygate, Christoph Rau, Alejandro Frangi, Erica Dall'Armellina, Irvin Teh, Jürgen Schneider, "Measuring cardiomyocyte cellular characteristics in cardiac hypertrophy using diffusion‐weighted MRI." Magnetic Resonance in Medicine, 2023.
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Predicting left ventricular contractile function via Gaussian process emulation in aortic-banded rats

Published in Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2020

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Recommended citation: S. Longobardi, A. Lewalle, S. Coveney, I. Sjaastad, E. Espe, W. Louch, C. Musante, A. Sher, S. Niederer, "Predicting left ventricular contractile function via Gaussian process emulation in aortic-banded rats." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2020.
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Gaussian process manifold interpolation for probabilistic atrial activation maps and uncertain conduction velocity

Published in Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2020

Publisher: Royal Society

Recommended citation: Sam Coveney, Cesare Corrado, Caroline Roney, Daniel O’Hare, Steven Williams, Mark O’Neill, Steven Niederer, Richard Clayton, Jeremy Oakley, Richard Wilkinson, "Gaussian process manifold interpolation for probabilistic atrial activation maps and uncertain conduction velocity." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2020.
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Creation and application of virtual patient cohorts of heart models

Published in Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2020

Publisher: Royal Society

Recommended citation: S. Niederer, Y. Aboelkassem, C. Cantwell, C. Corrado, S. Coveney, E. Cherry, T. Delhaas, F. Fenton, A. Panfilov, P. Pathmanathan, G. Plank, M. Riabiz, C. Roney, R. Santos, L. Wang, "Creation and application of virtual patient cohorts of heart models." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2020.
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Quantifying atrial anatomy uncertainty from clinical data and its impact on electro-physiology simulation predictions

Published in Medical Image Analysis, 2020

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Recommended citation: Cesare Corrado, Orod Razeghi, Caroline Roney, Sam Coveney, Steven Williams, Iain Sim, Mark O’Neill, Richard Wilkinson, Jeremy Oakley, Richard Clayton, Steven Niederer, "Quantifying atrial anatomy uncertainty from clinical data and its impact on electro-physiology simulation predictions." Medical Image Analysis, 2020.
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Probabilistic Interpolation of Uncertain Local Activation Times on Human Atrial Manifolds

Published in IEEE Transactions on Biomedical Engineering, 2020

Conference Name: IEEE Transactions on Biomedical Engineering

Recommended citation: Sam Coveney, Cesare Corrado, Caroline Roney, Richard Wilkinson, Jeremy Oakley, Finn Lindgren, Steven Williams, Mark O’Neill, Steven Niederer, Richard Clayton, "Probabilistic Interpolation of Uncertain Local Activation Times on Human Atrial Manifolds." IEEE Transactions on Biomedical Engineering, 2020.
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An Algorithm to Sample an Anatomy With Uncertainty

Published in http://www.cinc.org/archives/2018/pdf/CinC2018-078.pdf, 2018

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Recommended citation: Cesare Corrado, Steven Williams, Iain Sim, Sam Coveney, Mark O'Neill, Richard Wilkinson, Jeremy Oakley, Richard Clayton, Steven Niederer, "An Algorithm to Sample an Anatomy With Uncertainty." http://www.cinc.org/archives/2018/pdf/CinC2018-078.pdf, 2018.
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Variance Based Sensitivity Analysis of I_Kr in a Model of the Human Atrial Action Potential Using Gaussian Process Emulators

Published in https://link.springer.com/chapter/10.1007/978-3-319-59448-4_24, 2017

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Recommended citation: Eugene Chang, Sam Coveney, Richard Clayton, "Variance Based Sensitivity Analysis of I_Kr in a Model of the Human Atrial Action Potential Using Gaussian Process Emulators." https://link.springer.com/chapter/10.1007/978-3-319-59448-4_24, 2017.
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