Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review
Late gadolinium enhancement magnetic resonance imaging (LGE MRI) is commonly used
to visualize and quantify left atrial (LA) scars. The position and extent of LA scars provide …
to visualize and quantify left atrial (LA) scars. The position and extent of LA scars provide …
Role of cardiac MRI in the diagnosis of immune checkpoint inhibitor‐associated myocarditis
R Cau, C Solinas, P De Silva… - … Journal of Cancer, 2022 - Wiley Online Library
Immune checkpoint inhibitor (ICI)‐induced cardiotoxicity is a rare immune‐related adverse
event (irAE) characterized by a high mortality rate. From a pathological point of view, this …
event (irAE) characterized by a high mortality rate. From a pathological point of view, this …
Cardiac MRI segmentation with sparse annotations: ensembling deep learning uncertainty and shape priors
The performance of deep learning for cardiac magnetic resonance imaging (MRI)
segmentation is oftentimes degraded when using small datasets and sparse annotations for …
segmentation is oftentimes degraded when using small datasets and sparse annotations for …
DeU-Net 2.0: Enhanced deformable U-Net for 3D cardiac cine MRI segmentation
Automatic segmentation of cardiac magnetic resonance imaging (MRI) facilitates efficient
and accurate volume measurement in clinical applications. However, due to anisotropic …
and accurate volume measurement in clinical applications. However, due to anisotropic …
Ensemble of 2D residual neural networks integrated with atrous spatial pyramid pooling module for myocardium segmentation of left ventricle cardiac MRI
Cardiac disease diagnosis and identification is problematic mostly by inaccurate
segmentation of the cardiac left ventricle (LV). Besides, LV segmentation is challenging …
segmentation of the cardiac left ventricle (LV). Besides, LV segmentation is challenging …
AI based CMR assessment of biventricular function: clinical significance of intervendor variability and measurement errors
Objectives The aim of this study was to determine whether left ventricular ejection fraction
(LVEF) and right ventricular ejection fraction (RVEF) and left ventricular mass (LVM) …
(LVEF) and right ventricular ejection fraction (RVEF) and left ventricular mass (LVM) …
[PDF][PDF] TF-Unet: An automatic cardiac MRI image segmentation method
Z Fu, J Zhang, R Luo, Y Sun, D Deng, L Xia - Math. Biosci. Eng, 2022 - aimspress.com
Personalized heart models are widely used to study the mechanisms of cardiac arrhythmias
and have been used to guide clinical ablation of different types of arrhythmias in recent …
and have been used to guide clinical ablation of different types of arrhythmias in recent …
Estimating uncertainty in neural networks for cardiac MRI segmentation: a benchmark study
Objective: Convolutional neural networks (CNNs) have demonstrated promise in automated
cardiac magnetic resonance image segmentation. However, when using CNNs in a large …
cardiac magnetic resonance image segmentation. However, when using CNNs in a large …
DCNet: Diversity convolutional network for ventricle segmentation on short-axis cardiac magnetic resonance images
To accurately and simultaneously segment myocardium, left and right ventricles at the end-
diastolic (ED) and end-systolic (ES) phases from short-axis cardiac magnetic resonance …
diastolic (ED) and end-systolic (ES) phases from short-axis cardiac magnetic resonance …
Left ventricle segmentation in cardiac MR: A systematic mapping of the past decade
MAO Ribeiro, FLS Nunes - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
Left ventricle segmentation in short-axis cardiac magnetic resonance images is important to
diagnose heart disease. However, repetitive manual segmentation of these images requires …
diagnose heart disease. However, repetitive manual segmentation of these images requires …