Chris D. Cantwell

Orcid: 0000-0002-2448-3540

According to our database1, Chris D. Cantwell authored at least 41 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Nektar++: Development of the compressible flow solver for jet aeroacoustics.
Comput. Phys. Commun., 2024

NekMesh: An open-source high-order mesh generation framework.
Comput. Phys. Commun., 2024

Estimation of fibre architecture and scar in myocardial tissue using electrograms: An in-silico study.
Biomed. Signal Process. Control., 2024

2023
Disentangled Generative Models for Robust Prediction of System Dynamics.
Proceedings of the International Conference on Machine Learning, 2023

Comparison of a Discrete-Cell and Dontinuum Model of Two-Dimensional Ventricular Tissues Under Modulation of Cx43.
Proceedings of the Computing in Cardiology, 2023

2022
Atrial conduction velocity mapping: clinical tools, algorithms and approaches for understanding the arrhythmogenic substrate.
Medical Biol. Eng. Comput., 2022

Estimating Cardiac Tissue Conductivity from Electrograms with Fully Convolutional Networks.
CoRR, 2022

Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks.
CoRR, 2022

REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics.
Proceedings of the Topological, 2022

Electrogram-based Estimation of Myocardial Conduction Using Deep Neural Networks.
Proceedings of the Computing in Cardiology, 2022

The Effects of Electrode Configuration on Omnipolar Electrograms: An In-Silico Approach.
Proceedings of the Computing in Cardiology, 2022

2021
Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction.
Int. J. High Perform. Comput. Appl., 2021

Disentangling ODE parameters from dynamics in VAEs.
CoRR, 2021

Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks.
CoRR, 2021

2020
<i>Nektar</i>++: Enhancing the capability and application of high-fidelity spectral/hp element methods.
Comput. Phys. Commun., 2020

Simulating Surface Wave Dynamics with Convolutional Networks.
CoRR, 2020

PDE-induced connection of moving frames for the Atlas of the cardiac electric propagation on 2D atrium.
CoRR, 2020

Comparing recurrent and convolutional neural networks for predicting wave propagation.
CoRR, 2020

2019
A Minimally Intrusive Low-Memory Approach to Resilience for Existing Transient Solvers.
J. Sci. Comput., 2019

On weak Dirichlet boundary conditions for elliptic problems in the continuous Galerkin method.
J. Comput. Phys., 2019

Nektar++: enhancing the capability and application of high-fidelity spectral/hp element methods.
CoRR, 2019

Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling.
Comput. Biol. Medicine, 2019

Approximating the Solution of Surface Wave Propagation Using Deep Neural Networks.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

2018
Approximating the solution to wave propagation using deep neural networks.
CoRR, 2018

Analytical approaches for myocardial fibrillation signals.
Comput. Biol. Medicine, 2018

Simplifying High-Order Mesh Generation for Computational Scientists.
Proceedings of the 10th International Workshop on Science Gateways, 2018

2016
An adaptable parallel algorithm for the direct numerical simulation of incompressible turbulent flows using a Fourier spectral/hp element method and MPI virtual topologies.
Comput. Phys. Commun., 2016

2015
Nektar++: An open-source spectral/hp element framework.
Comput. Phys. Commun., 2015

Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping.
Comput. Biol. Medicine, 2015

Ensuring an Effective User Experience When Managing and Running Scientific HPC Software.
Proceedings of the 1st IEEE/ACM International Workshop on Software Engineering for High Performance Computing in Science, 2015

A technique for visualising three-dimensional left atrial cardiac activation data in two dimensions with minimal distance distortion.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Automated fiducial point selection for reducing registration error in the co-localisation of left atrium electroanatomic and imaging data.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

TemPSS: A Service Providing Software Parameter Templates and Profiles for Scientific HPC.
Proceedings of the 11th IEEE International Conference on e-Science, 2015

Influence of Left Atrial Geometry on Rotor Core Trajectories in a Model of Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2015

2014
High-order spectral/hp element discretisation for reaction-diffusion problems on surfaces: Application to cardiac electrophysiology.
J. Comput. Phys., 2014

An automated algorithm for determining conduction velocity, wavefront direction and origin of focal cardiac arrhythmias using a multipolar catheter.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

A software platform for the comparative analysis of electroanatomic and imaging data including conduction velocity mapping.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

A Novel Method for Rotor Tracking using Bipolar Electrogram Phase.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

A Novel Method for Quantifying Localised Correlation of Late-Gadolinium Intensity with Conduction Velocity.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013
Simplifying the Development, Use and Sustainability of HPC Software.
CoRR, 2013

Nekkloud: A software environment for high-order finite element analysis on clusters and clouds.
Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013


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