Simultaneous right ventricle end-diastolic and end-systolic frame identification and landmark detection on echocardiography

Z Wang, J Shi, X Hao, K Wen, X Jin… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
End-diastolic (ED) and end-systolic (ES) frame identification and landmark detection are
crucial steps of estimating right ventricle function in clinic practice. However, the complex …

Automated endocardial border detection and left ventricular functional assessment in echocardiography using deep learning

S Ono, M Komatsu, A Sakai, H Arima, M Ochida… - Biomedicines, 2022 - mdpi.com
Endocardial border detection is a key step in assessing left ventricular systolic function in
echocardiography. However, this process is still not sufficiently accurate, and manual …

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 …

544 Deep learning in segmentation and function evaluation of right ventricle in 2D echocardiography

A Karuzas, K Sablauskas, D Verikas… - European Heart …, 2020 - academic.oup.com
INTRODUCTION Deep learning (DL) has been of increasing use in the field of
echocardiographic cardiology. The importance of segmentation and recognition of different …

Multibeat echocardiographic phase detection using deep neural networks

ES Lane, N Azarmehr, J Jevsikov, JP Howard… - Computers in Biology …, 2021 - Elsevier
Background Accurate identification of end-diastolic and end-systolic frames in
echocardiographic cine loops is important, yet challenging, for human experts. Manual …

Recognizing end-diastole and end-systole frames via deep temporal regression network

B Kong, Y Zhan, M Shin, T Denny, S Zhang - Medical Image Computing …, 2016 - Springer
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 …

Cardiac phase detection in echocardiography using convolutional neural networks

M Farhad, MM Masud, A Beg, A Ahmad, LA Ahmed… - Scientific reports, 2023 - nature.com
Echocardiography is a commonly used and cost-effective test to assess heart conditions.
During the test, cardiologists and technicians observe two cardiac phases—end-systolic …

An attention‐based deep learning method for right ventricular quantification using 2D echocardiography: Feasibility and accuracy

PN Kampaktsis, TA Bohoran, M Lebehn… - …, 2024 - Wiley Online Library
Aim To test the feasibility and accuracy of a new attention‐based deep learning (DL) method
for right ventricular (RV) quantification using 2D echocardiography (2DE) with cardiac …

A Periodic Frame Learning Approach for Accurate Landmark Localization in M-Mode Echocardiography

Y Tian, S Xu, L Guo, F Cong - ICASSP 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
Anatomical landmark localization has been a key challenge for medical image analysis.
Existing researches mostly adopt CNN as the main architecture for landmark localization …

Real-time Automatic M-mode Echocardiography Measurement with Panel Attention

CH Tseng, SJ Chien, PS Wang, SJ Lee… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Motion mode (M-mode) echocardiography is essential for measuring cardiac dimension and
ejection fraction. However, the current diagnosis is time-consuming and suffers from …