3 papers
eess.IV2021
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction
Tareen Dawood, Chen Chen, Robin Andlauer +10
Evaluation of predictive deep learning (DL) models beyond conventional performance metrics has become increasingly important for applications in sensitive environments like healthc…
physics.med-ph2021
An automated near-real time computational method for induction and treatment of scar-related ventricular tachycardias
Fernando O. Campos, Aurel Neic, Caroline Mendonca Costa +8
Catheter ablation is currently the only curative treatment for scar-related ventricular tachycardias (VTs). However, not only are ablation procedures long, with relatively high ris…
eess.IV2021
A Multimodal Deep Learning Model for Cardiac Resynchronisation Therapy Response Prediction
Esther Puyol-Antón, Baldeep S. Sidhu, Justin Gould +5
We present a novel multimodal deep learning framework for cardiac resynchronisation therapy (CRT) response prediction from 2D echocardiography and cardiac magnetic resonance (CMR)…