53 citations · 137 across the 11 of their papers we have counts for
11 papers
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images
Tareen Dawood, Chen Chen, Baldeep S. Sidhua +9
Quantifying uncertainty of predictions has been identified as one way to develop more trustworthy artificial intelligence (AI) models beyond conventional reporting of performance m…
Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis
Hadrien Reynaud, Mengyun Qiao, Mischa Dombrowski +5
Image synthesis is expected to provide value for the translation of machine learning methods into clinical practice. Fundamental problems like model robustness, domain transfer, ca…
AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography
Esther Puyol-Antón, Bram Ruijsink, Baldeep S. Sidhu +12
Left ventricular (LV) function is an important factor in terms of patient management, outcome, and long-term survival of patients with heart disease. The most recently published cl…
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…
Robotic-assisted Ultrasound for Fetal Imaging: Evolution from Single-arm to Dual-arm System
Shuangyi Wang, James Housden, Yohan Noh +20
The development of robotic-assisted extracorporeal ultrasound systems has a long history and a number of projects have been proposed since the 1990s focusing on different technical…
Fetal whole-heart 4D imaging using motion-corrected multi-planar real-time MRI
Joshua FP van Amerom, David FA Lloyd, Maria Deprez +7
Purpose: To develop a MRI acquisition and reconstruction framework for volumetric cine visualisation of the fetal heart and great vessels in the presence of maternal and fetal moti…
Mind the gap: quantification of incomplete ablation patterns after pulmonary vein isolation using minimum path search
Marta Nuñez-Garcia, Oscar Camara, Mark D. O'Neill +3
Pulmonary vein isolation (PVI) is a common procedure for the treatment of atrial fibrillation (AF). A successful isolation produces a continuous lesion (scar) completely encircling…