Deep learning–based automated echocardiographic quantification of left ventricular ejection fraction: a point-of-care solution

FM Asch, V Mor-Avi, D Rubenson… - Circulation …, 2021 - Am Heart Assoc
Background: We have recently tested an automated machine-learning algorithm that
quantifies left ventricular (LV) ejection fraction (EF) from guidelines-recommended apical …

[HTML][HTML] EchoEFNet: multi-task deep learning network for automatic calculation of left ventricular ejection fraction in 2D echocardiography

H Li, Y Wang, M Qu, P Cao, C Feng, J Yang - Computers in Biology and …, 2023 - Elsevier
Left ventricular ejection fraction (LVEF) is essential for evaluating left ventricular systolic
function. However, its clinical calculation requires the physician to interactively segment the …

Measuring the left ventricular ejection fraction using geometric features

A Lagopoulos… - 2022 IEEE 35th …, 2022 - ieeexplore.ieee.org
One of the crucial indicators of the heart's functioning, is the so-called left ventricular ejection
fraction (LVEF), which measures the heart's ability to pump blood, and corresponds to the …

Deep bayesian image segmentation for a more robust ejection fraction estimation

MH Jafari, N Van Woudenberg, C Luong… - 2021 IEEE 18th …, 2021 - ieeexplore.ieee.org
The left ventricular ejection fraction (LVEF) is one of the most commonly measured cardiac
parameters in echocardiography (echo). While the clinical guidelines suggest that apical …

Explicit and automatic ejection fraction assessment on 2D cardiac ultrasound with a deep learning-based approach

O Moal, E Roger, A Lamouroux, C Younes… - Computers in biology …, 2022 - Elsevier
Background Ejection fraction (EF) is a key parameter for assessing cardiovascular functions
in cardiac ultrasound, but its manual assessment is time-consuming and subject to high inter …

Deep learning for assessment of left ventricular ejection fraction from echocardiographic images

K Kusunose, A Haga, N Yamaguchi, T Abe… - J Am Soc …, 2020 - onlinejase.com
We used DICOM Ultrasound Multi-Frame Image in the original data of this study. We
developed the DICOM reader program by C++ language and transformed the lossless-jpeg …

Development of automated neural network prediction for echocardiographic left ventricular ejection fraction

Y Zhang, B Liu, KV Bunting, D Brind, A Thorley… - Frontiers in …, 2024 - frontiersin.org
Introduction The echocardiographic measurement of left ventricular ejection fraction (LVEF)
is fundamental to the diagnosis and classification of patients with heart failure (HF). Methods …

Video-based AI for beat-to-beat assessment of cardiac function

D Ouyang, B He, A Ghorbani, N Yuan, J Ebinger… - Nature, 2020 - nature.com
Accurate assessment of cardiac function is crucial for the diagnosis of cardiovascular
disease, screening for cardiotoxicity and decisions regarding the clinical management of …

Dual-view joint estimation of left ventricular ejection fraction with uncertainty modelling in echocardiograms

D Behnami, Z Liao, H Girgis, C Luong… - … Image Computing and …, 2019 - Springer
Echocardiography (echo) is a standard-of-care imaging technique for characterizing heart
function and structure. Left ventricular ejection fraction (EF) is the single most commonly …

A novel approach for detecting abnormality in ejection fraction using transthoracic echocardiography with deep learning

P Sarkar, V Chandra - 2020 - learntechlib.org
Cardiovascular diseases (CVD) are the prime cause of mortality in people worldwide.
Mortality in CVD has been strongly linked to Ejection Fraction (EF) in various studies1. Left …