Fetal cardiac cycle detection in multi-resource echocardiograms using hybrid classification framework
Accurate acquisition of end-systolic (ES) and end-diastolic (ED) frames from ultrasound
videos of fetal echocardiograms is a key procedure in the automated biometric …
videos of fetal echocardiograms is a key procedure in the automated biometric …
Recognizing end-diastole and end-systole frames via deep temporal regression network
Accurate measurement of left ventricular volumes and Ejection Fraction from cine MRI is of
paramount importance to the evaluation of cardiovascular functions, yet it usually requires …
paramount importance to the evaluation of cardiovascular functions, yet it usually requires …
Ultrasound video transformers for cardiac ejection fraction estimation
Cardiac ultrasound imaging is used to diagnose various heart diseases. Common analysis
pipelines involve manual processing of the video frames by expert clinicians. This suffers …
pipelines involve manual processing of the video frames by expert clinicians. This suffers …
Real-time automatic ejection fraction and foreshortening detection using deep learning
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 …
echocardiography are associated with a high uncertainty not only due to interobserver …
Measuring left ventricular volumes in two-dimensional echocardiography image sequence using level-set method for automatic detection of end-diastole and end …
S Darvishi, H Behnam, M Pouladian… - Research in …, 2013 - journals.lww.com
Background: Identifying End-Diastole (ED) and End-Systole (ES) frames is highly important
in the process of evaluating cardiac function and measuring global parameters accurately …
in the process of evaluating cardiac function and measuring global parameters accurately …
AGMN: association graph-based graph matching network for coronary artery semantic labeling on invasive coronary angiograms
Semantic labeling of coronary arterial segments in invasive coronary angiography (ICA) is
important for automated assessment and report generation of coronary artery stenosis in …
important for automated assessment and report generation of coronary artery stenosis in …
Detection of cardiac events in echocardiography using 3D convolutional recurrent neural networks
A proper definition of cardiac events such as end-diastole (ED) and end-systole (ES) is
important for quantitative measurements in echocardiography. While ED can be found using …
important for quantitative measurements in echocardiography. While ED can be found using …
HFSCCD: a hybrid neural network for fetal standard Cardiac cycle detection in ultrasound videos
In the fetal cardiac ultrasound examination, standard cardiac cycle (SCC) recognition is the
essential foundation for diagnosing congenital heart disease. Previous studies have mostly …
essential foundation for diagnosing congenital heart disease. Previous studies have mostly …
Deep residual recurrent neural networks for characterisation of cardiac cycle phase from echocardiograms
Characterisation of cardiac cycle phase in echocardiography data is a necessary
preprocessing step for developing automated systems that measure various cardiac …
preprocessing step for developing automated systems that measure various cardiac …
Automated detection of coarctation of aorta in neonates from two-dimensional echocardiograms
F Pereira, A Bueno, A Rodriguez… - Journal of Medical …, 2017 - spiedigitallibrary.org
Coarctation of aorta (CoA) is a critical congenital heart defect (CCHD) that requires accurate
and immediate diagnosis and treatment. Current newborn screening methods to detect CoA …
and immediate diagnosis and treatment. Current newborn screening methods to detect CoA …