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Chris Cantwell
Chris Cantwell
Reader, Department of Aeronautics, Imperial College London
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
Nektar++: An open-source spectral/hp element framework
CD Cantwell, D Moxey, A Comerford, A Bolis, G Rocco, G Mengaldo, ...
Computer Physics Communications 192, 205-219, 2015
6602015
Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping
CD Cantwell, CH Roney, FS Ng, JH Siggers, SJ Sherwin, NS Peters
Computers in biology and medicine 65, 229-242, 2015
2362015
Finite element assembly strategies on multi‐core and many‐core architectures
GR Markall, A Slemmer, DA Ham, PHJ Kelly, CD Cantwell, SJ Sherwin
International Journal for Numerical Methods in Fluids 71 (1), 80-97, 2013
1622013
Spatial Resolution Requirements for Accurate Identification of Drivers of Atrial Fibrillation
CH Roney, CD Cantwell, JD Bayer, NA Qureshi, PB Lim, JH Tweedy, ...
Circulation: Arrhythmia and Electrophysiology 10 (5), e004899, 2017
1442017
Nektar++: enhancing the capability and application of high-fidelity spectral/hp element methods
D Moxey, CD Cantwell, Y Bao, A Cassinelli, G Castiglioni, S Chun, E Juda, ...
Computer Physics Communications 249, 107110, 2020
1412020
Transient growth analysis of flow through a sudden expansion in a circular pipe
CD Cantwell, D Barkley, HM Blackburn
Physics of Fluids 22 (3), 2010
1202010
From h to p efficiently: Strategy selection for operator evaluation on hexahedral and tetrahedral elements
CD Cantwell, SJ Sherwin, RM Kirby, PHJ Kelly
Computers & Fluids 43 (1), 23-28, 2011
1172011
Spectral/hp element methods: Recent developments, applications, and perspectives
H Xu, CD Cantwell, C Monteserin, C Eskilsson, AP Engsig-Karup, ...
Journal of Hydrodynamics 30, 1-22, 2018
1102018
Creation and application of virtual patient cohorts of heart models
SA Niederer, Y Aboelkassem, CD Cantwell, C Corrado, S Coveney, ...
Philosophical Transactions of the Royal Society A 378 (2173), 20190558, 2020
822020
Multi-scale rotation-equivariant graph neural networks for unsteady Eulerian fluid dynamics
M Lino, S Fotiadis, AA Bharath, CD Cantwell
Physics of Fluids 34 (8), 2022
652022
High-order spectral/hp element discretisation for reaction–diffusion problems on surfaces: Application to cardiac electrophysiology
CD Cantwell, S Yakovlev, RM Kirby, NS Peters, SJ Sherwin
Journal of Computational Physics 257, 813-829, 2014
632014
Voltage during atrial fibrillation is superior to voltage during sinus rhythm in localizing areas of delayed enhancement on magnetic resonance imaging: an assessment of the …
NA Qureshi, SJ Kim, CD Cantwell, VX Afonso, W Bai, RL Ali, ...
Heart rhythm 16 (9), 1357-1367, 2019
622019
Considering discrepancy when calibrating a mechanistic electrophysiology model
CL Lei, S Ghosh, DG Whittaker, Y Aboelkassem, KA Beattie, CD Cantwell, ...
Philosophical Transactions of the Royal Society A 378 (2173), 20190349, 2020
602020
Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling
CD Cantwell, Y Mohamied, KN Tzortzis, S Garasto, C Houston, ...
Computers in biology and medicine 104, 339-351, 2019
552019
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks
M Lino, C Cantwell, AA Bharath, S Fotiadis
arXiv preprint arXiv:2106.04900, 2021
512021
An audit of uncertainty in multi-scale cardiac electrophysiology models
RH Clayton, Y Aboelkassem, CD Cantwell, C Corrado, T Delhaas, ...
Philosophical Transactions of the Royal Society A 378 (2173), 20190335, 2020
482020
Rotor tracking using phase of electrograms recorded during atrial fibrillation
CH Roney, CD Cantwell, NA Qureshi, RA Chowdhury, E Dupont, PB Lim, ...
Annals of biomedical engineering 45, 910-923, 2017
472017
From h to p efficiently: selecting the optimal spectral/hp discretisation in three dimensions
CD Cantwell, SJ Sherwin, RM Kirby, PHJ Kelly
Mathematical Modelling of Natural Phenomena 6 (03), 84-96, 2011
462011
Comparing recurrent and convolutional neural networks for predicting wave propagation
S Fotiadis, E Pignatelli, ML Valencia, C Cantwell, A Storkey, AA Bharath
arXiv preprint arXiv:2002.08981, 2020
442020
Current and emerging deep-learning methods for the simulation of fluid dynamics
M Lino, S Fotiadis, AA Bharath, CD Cantwell
Proceedings of the Royal Society A 479 (2275), 20230058, 2023
392023
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