activity
20202023
most citedTempera: Spatial Transformer Feature Pyramid Network for Cardiac MRI Segmentation

6 citations · 7 across the 4 of their papers we have counts for

collaborators

7 papers

physics.med-ph2023

Prototype of a Cardiac MRI Simulator for the Training of Supervised Neural Networks

Marta Varela, Anil A Bharath

Supervised deep learning methods typically rely on large datasets for training. Ethical and practical considerations usually make it difficult to access large amounts of healthcare…

eess.IV2022★ 6 cited

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…

physics.med-ph2021★ 1 cited

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…

eess.IV2021

Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge

Alain Lalande, Zhihao Chen, Thibaut Pommier +30

A key factor for assessing the state of the heart after myocardial infarction (MI) is to measure whether the myocardium segment is viable after reperfusion or revascularization the…

eess.IV2020

Automatic Myocardial Disease Prediction From Delayed-Enhancement Cardiac MRI and Clinical Information

Ana Lourenço, Eric Kerfoot, Irina Grigorescu +3

Delayed-enhancement cardiac magnetic resonance (DE-CMR)provides important diagnostic and prognostic information on myocardial viability. The presence and extent of late gadolinium…

eess.IV2020

Left atrial ejection fraction estimation using SEGANet for fully automated segmentation of CINE MRI

Ana Lourenço, Eric Kerfoot, Connor Dibblin +7

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, characterised by a rapid and irregular electrical activation of the atria. Treatments for AF are often ine…

q-bio.QM2020

A Survey of Pathways for Mechano-Electric Coupling in the Atria

Marta Varela, Adity Roy, Jack Lee

Mechano-electric coupling (MEC) in atrial tissue has received sparse investigation to date, despite the well-known association between chronic atrial dilation and atrial fibrillati…