Sam Coveney

Sam Coveney

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

Posts by Collection

portfolio

publications

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

Access paper here

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.
Download Paper

An Algorithm to Sample an Anatomy With Uncertainty

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

Access paper here

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.
Download Paper

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.
Download Paper

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

Published in Medical Image Analysis, 2020

Access paper here

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.
Download Paper

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.
Download Paper

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.
Download Paper

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

Access paper here

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.
Download Paper

Measuring cardiomyocyte cellular characteristics in cardiac hypertrophy using diffusion‐weighted MRI

Published in Magnetic Resonance in Medicine, 2023

Access paper here

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.
Download Paper

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.
Download Paper

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.
Download Paper

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

Published in Journal of Cardiovascular Magnetic Resonance, 2025

Access paper here

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.
Download Paper

talks

teaching

Sports coach

Sports coach, Kyogikan dojo, Sheffield, 2009

I have been teaching sport aikido, which is similar to judo, since 2009 when I took over responsibility for running many of the sessions for student members from the University of Sheffield and Sheffield Hallam University.

Computer Labs Demonstrator

Undergraduate course, University of Sheffield, Department of Physics & Astronomy, 2011

I demonstrated in undergraduate computer labs during my PhD at the University of Sheffield. The courses were first and second year coding courses, in C and C++, aimed at physicists with no prior experience of coding. I also invigilated several exams in this time, and helped students with coding problems outside of labs.

A-Level Physics & Maths tutor

Secondary education, Sheffield, 2015

I worked as a private A-level tutor in physics and maths in Sheffield, for students at various levels of ability. Mostly, I assisted with teaching the students things that they had not grasped from their lessons, and helped them to understand how to solve homework problems and past exam questions that they were stuck on.

GCSE Classroom Assistant

Secondary education, Newfield School, Sheffield, 2015

Classroom assistant and small groups tutor for students preparing for GCSE exams at Newfield School in Sheffield.

Programming course

Workshop, University of Sheffield, University of Kent, 2015

Under my own business ScienceAble Skills, I designed and delivered a 3-day programming course called CUDA for Scientists. This course was designed to teach the paradigms behind programming in the language CUDA, which allowed for writing programs that executed on Graphical Processing Units (GPUs). Alongside course notes and example code, I provided a custom-built linux server hosting multiple low-spec GPUs that allowed participants to compile and run code during the practical sessions.

Gaussian process summer school

Workshop, Department of Computer Science, University of Sheffield, 2017

Demonstrator at the annual Gaussian process summer school (GPSS).