| For: | Blaivas M, Blaivas L. Machine learning algorithm using publicly available echo database for simplified “visual estimation” of left ventricular ejection fraction . World J Exp Med 2022; 12(2): 16-25 [PMID: 35433318 DOI: 10.5493/wjem.v12.i2.16] |
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| URL: | https://www.wjgnet.com/2220-315X/full/v12/i2/16.htm |
| Number | Citing Articles |
| 1 |
Yu Zhou, Jiawei Tian, Mingon Kang, Kyungtae Kang. Echo-SMADS: A hierarchical planning model for predicting ejection fraction using echocardiography. Computer Methods and Programs in Biomedicine 2026; 281 doi: 10.1016/j.cmpb.2026.109377
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| 2 |
Manal Alhussein, Michelle Xiang Liu. Deep Learning in Echocardiography for Enhanced Detection of Left Ventricular Function and Wall Motion Abnormalities. Ultrasound in Medicine & Biology 2025; 51(8) doi: 10.1016/j.ultrasmedbio.2025.03.015
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| 3 |
D.M. Anisuzzaman, Jeffrey G. Malins, John I. Jackson, Eunjung Lee, Jwan A. Naser, Behrouz Rostami, Grace Greason, Jared G. Bird, Paul A. Friedman, Jae K. Oh, Patricia A. Pellikka, Jeremy J. Thaden, Francisco Lopez-Jimenez, Zachi I. Attia, Sorin V. Pislaru, Garvan C. Kane. Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound. Mayo Clinic Proceedings: Digital Health 2025; 3(1) doi: 10.1016/j.mcpdig.2025.100194
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| 4 |
Marcus Peck, Hannah Conway. Use of Artificial Intelligence and Machine Learning in Critical Care Ultrasound. Critical Care Clinics 2025; 41(3) doi: 10.1016/j.ccc.2025.02.008
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| 5 |
Taymaz Akan, Sait Alp, Md. Shenuarin Bhuiyan, Tarek Helmy, A. Wayne Orr, Md. Mostafizur Rahman Bhuiyan, Steven A. Conrad, John A. Vanchiere, Christopher G. Kevil, Mohammad Alfrad Nobel Bhuiyan. ViViEchoformer: Deep Video Regressor Predicting Ejection Fraction. Journal of Imaging Informatics in Medicine 2024; 38(4) doi: 10.1007/s10278-024-01336-y
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| 6 |
Donya Hassan, Ali Obied. Artificial Intelligence, Data Science and Applications. Lecture Notes in Networks and Systems 2024; 837 doi: 10.1007/978-3-031-48465-0_29
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| 7 |
Arun Muthukumar, Alexander Schreck, Carlos E Guerra-Londono, Abdul Kader Tabbara, Santiago Uribe-Marquez. Role of artificial intelligence and point of care ultrasound in management of critically ill patients. World Journal of Critical Care Medicine 2026; 15(2): 114201 doi: 10.5492/wjccm.v15.i2.114201
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| 8 |
Samana Batool, Imtiaz Ahmad Taj, Mubeen Ghafoor. Ejection Fraction Estimation from Echocardiograms Using Optimal Left Ventricle Feature Extraction Based on Clinical Methods. Diagnostics 2023; 13(13) doi: 10.3390/diagnostics13132155
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| 9 |
Philippe Germain, Aissam Labani, Armine Vardazaryan, Nicolas Padoy, Catherine Roy, Soraya El Ghannudi. Segmentation-Free Estimation of Left Ventricular Ejection Fraction Using 3D CNN Is Reliable and Improves as Multiple Cardiac MRI Cine Orientations Are Combined. Biomedicines 2024; 12(10) doi: 10.3390/biomedicines12102324
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| 10 |
Raman Sharma, Mayank Choudhary, Naveen Chauhan. Proceedings of Data Analytics and Management. Lecture Notes in Networks and Systems 2025; 1300 doi: 10.1007/978-981-96-3361-6_29
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| 11 |
Samana Batool, Imtiaz Ahmad Taj, Mubeen Ghafoor. EFNet: A multitask deep learning network for simultaneous quantification of left ventricle structure and function. Physica Medica 2024; 125 doi: 10.1016/j.ejmp.2024.104505
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| 12 |
Waqas Ali, Wesam Alsabban, Muhammad Shahbaz, Ali Al-Laith, Bassam Almogadwy. EFNet: estimation of left ventricular ejection fraction from cardiac ultrasound videos using deep learning. PeerJ Computer Science 2025; 11 doi: 10.7717/peerj-cs.2506
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| 13 |
Haimiao Mo, Juan Liang, Bing Li, Zhijian Hu, Meng Yi, Hongjia Wu, Qian Rong, Zeyuan Xu. A Noninvasive Framework for Heart Function Assessment by Multitask Learning. IEEE Transactions on Instrumentation and Measurement 2025; 74 doi: 10.1109/TIM.2025.3553885
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| 14 |
Meghan Muldoon, Naimul Khan. Lightweight and Interpretable Left Ventricular Ejection Fraction Estimation Using Mobile U-Net. 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) 2023; doi: 10.1109/ISBI53787.2023.10230603
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| 15 |
ABDULRHMAN ALJOUIE, MOSTAFA KHEDR, MAHMOUD SAMARQANDI, SAAD SAMARGANDY, NABEEL ISMAEIL, YAHYA BOKHARI. FAST AND ACCURATE EJECTION FRACTION PREDICTION: A DEEP LEARNING FRAMEWORK. Journal of Mechanics in Medicine and Biology 2026; doi: 10.1142/S0219519426500570
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| 16 |
Samana Batool, Mubeen Ghafoor, Imtiaz Ahmad Taj, Wadood Abdul. A hybrid spatial and temporal attention driven network for left ventricular function assessment using echocardiography. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-025-21486-5
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