| 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 | 661 | 2015 |
| 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 | 236 | 2015 |
| 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 | 166 | 2013 |
| 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 | 143 | 2020 |
| 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 | 142 | 2017 |
| 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 | 120 | 2010 |
| 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 | 118 | 2011 |
| 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 | 109 | 2018 |
| 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 | 85 | 2020 |
| 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 | 68 | 2022 |
| 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 | 63 | 2014 |
| 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 | 62 | 2020 |
| 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 | 60 | 2019 |
| 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 | 54 | 2019 |
| Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks M Lino, C Cantwell, AA Bharath, S Fotiadis arXiv preprint arXiv:2106.04900, 2021 | 53 | 2021 |
| 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 | 48 | 2020 |
| 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 | 46 | 2011 |
| 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 | 45 | 2020 |
| 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 | 45 | 2017 |
| 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 | 42 | 2023 |
Spencer J. SherwinProfessor of Computational Fluid Mechanics, Imperial College LondonE-mail megerősítve itt: imperial.ac.uk
