4.6k citations · 9.5k across the 33 of their papers we have counts for
35 papers
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation
Fatmatulzehra Uslu, Anil A. Bharath
Recently, deep networks have shown impressive performance for the segmentation of cardiac Magnetic Resonance Imaging (MRI) images. However, their achievement is proving slow to tra…
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…
Tempera: Spatial Transformer Feature Pyramid Network for Cardiac MRI Segmentation
Christoforos Galazis, Huiyi Wu, Zhuoyu Li +3
Assessing the structure and function of the right ventricle (RV) is important in the diagnosis of several cardiac pathologies. However, it remains more challenging to segment the R…
EP-PINNs: Cardiac Electrophysiology Characterisation using Physics-Informed Neural Networks
Clara Herrero Martin, Alon Oved, Rasheda A Chowdhury +4
Accurately inferring underlying electrophysiological (EP) tissue properties from action potential recordings is expected to be clinically useful in the diagnosis and treatment of a…