145 citations · 451 across the 18 of their papers we have counts for
18 papers
Estimation of fibre architecture and scar in myocardial tissue using electrograms: an in-silico study
Konstantinos Ntagiantas, Eduardo Pignatelli, Nicholas S. Peters +3
Atrial Fibrillation (AF) is characterized by disorganised electrical activity in the atria and is known to be sustained by the presence of regions of fibrosis (scars) or functional…
REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics
Mario Lino, Stati Fotiadis, Anil A. Bharath +1
Numerical simulation is an essential tool in many areas of science and engineering, but its performance often limits application in practice or when used to explore large parameter…
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks
Mario Lino, Stathi Fotiadis, Anil A. Bharath +1
Numerical simulators are essential tools in the study of natural fluid-systems, but their performance often limits application in practice. Recent machine-learning approaches have…
Disentangled Generative Models for Robust Prediction of System Dynamics
Stathi Fotiadis, Mario Lino, Shunlong Hu +3
Deep neural networks have become increasingly of interest in dynamical system prediction, but out-of-distribution generalization and long-term stability still remains challenging.…
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks
Mario Lino, Chris Cantwell, Anil A. Bharath +1
Continuum mechanics simulators, numerically solving one or more partial differential equations, are essential tools in many areas of science and engineering, but their performance…
Simulating Surface Wave Dynamics with Convolutional Networks
Mario Lino, Chris Cantwell, Stathi Fotiadis +2
We investigate the performance of fully convolutional networks to simulate the motion and interaction of surface waves in open and closed complex geometries. We focus on a U-Net ar…