53 citations · 137 across the 11 of their papers we have counts for
5 papers · 1 filter
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…
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…
Can non-specialists provide high quality gold standard labels in challenging modalities?
Samuel Budd, Thomas Day, John Simpson +5
Probably yes. -- Supervised Deep Learning dominates performance scores for many computer vision tasks and defines the state-of-the-art. However, medical image analysis lags behind…
B-line Detection in Lung Ultrasound Videos: Cartesian vs Polar Representation
Hamideh Kerdegari, Phung Tran Huy Nhat, Angela McBride +5
Lung ultrasound (LUS) imaging is becoming popular in the intensive care units (ICU) for assessing lung abnormalities such as the appearance of B-line artefacts as a result of sever…
An 8 channel parallel transmit system with current sensor feedback for MRI-guided interventional applications
Felipe Godinez, Raphael Tomi-Tricot, Matthias Barthel +5
Background: Parallel transmit (pTx) has introduced many benefits to MRI with regard to decreased specific absorption rates and improved transmit field homogeneity, of particular im…