Automatic biplane left ventricular ejection fraction estimation with mobile point-of-care ultrasound using multi-task learning and adversarial training

MH Jafari, H Girgis, N Van Woudenberg, Z Liao… - International journal of …, 2019 - Springer
Purpose Left ventricular ejection fraction (LVEF) is one of the key metrics to assess the heart
functionality, and cardiac ultrasound (echo) is a standard imaging modality for EF …

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 …

Fully automatic real-time ejection fraction and MAPSE measurements in 2D echocardiography using deep neural networks

E Smistad, A Østvik, IM Salte, S Leclerc… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
Cardiac ultrasound measurements such as left ventricular volume, ejection fraction (EF) and
mitral annular plane systolic excursion (MAPSE) are time consuming and highly observer …

[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 …

MAEF-Net: Multi-attention efficient feature fusion network for left ventricular segmentation and quantitative analysis in two-dimensional echocardiography

Y Zeng, PH Tsui, K Pang, G Bin, J Li, K Lv, X Wu, S Wu… - Ultrasonics, 2023 - Elsevier
The segmentation of cardiac chambers and the quantification of clinical functional metrics in
dynamic echocardiography are the keys to the clinical diagnosis of heart disease. Identifying …

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 …

Real-time automatic ejection fraction and foreshortening detection using deep learning

E Smistad, A Østvik, IM Salte… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Volume and ejection fraction (EF) measurements of the left ventricle (LV) in 2-D
echocardiography are associated with a high uncertainty not only due to interobserver …

Transferring from ex-vivo to in-vivo: Instrument Localization in 3D Cardiac Ultrasound Using Pyramid-UNet with Hybrid Loss

H Yang, C Shan, T Tan, AF Kolen… - Medical Image Computing …, 2019 - Springer
Automated instrument localization during cardiac interventions is essential to accurately and
efficiently interpret a 3D ultrasound (US) image. In this paper, we propose a method to …

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 …