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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Deep echocardiography: data-efficient supervised and semi-supervised deep learning towards automated diagnosis of cardiac disease
Ali Madani, Jia Rui Ong, Anshul Tibrewal, et al.
npj Digital Medicine (2018) Vol. 1, Iss. 1
Open Access | Times Cited: 213

Showing 1-25 of 213 citing articles:

High-performance medicine: the convergence of human and artificial intelligence
Eric J. Topol
Nature Medicine (2018) Vol. 25, Iss. 1, pp. 44-56
Closed Access | Times Cited: 4796
Deep learning-enabled medical computer vision
Andre Esteva, Katherine Chou, Serena Yeung, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 851
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen, Ximin Wang, Ke Zhang, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102444-102444
Open Access | Times Cited: 548
Deep learning interpretation of echocardiograms
Amirata Ghorbani, David Ouyang, Abubakar Abid, et al.
npj Digital Medicine (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 365
Image-Based Cardiac Diagnosis With Machine Learning: A Review
Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, et al.
Frontiers in Cardiovascular Medicine (2020) Vol. 7
Open Access | Times Cited: 211
Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review
Mubashir Hassan, Faryal Mehwish Awan, Anam Naz, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 9, pp. 4645-4645
Open Access | Times Cited: 151
Artificial intelligence in ultrasound
Yuting Shen, Liang Chen, Wenwen Yue, et al.
European Journal of Radiology (2021) Vol. 139, pp. 109717-109717
Closed Access | Times Cited: 145
Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges
Alejandro Déniz-García, Himar Fabelo, Antonio J. Rodríguez-Almeida, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e44030-e44030
Open Access | Times Cited: 76
A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis
Xi Xu, Jianqiang Li, Zhichao Zhu, et al.
Bioengineering (2024) Vol. 11, Iss. 3, pp. 219-219
Open Access | Times Cited: 30
Artificial Intelligence and Machine Learning in Cardiovascular Health Care
Arman Kilic
The Annals of Thoracic Surgery (2019) Vol. 109, Iss. 5, pp. 1323-1329
Open Access | Times Cited: 143
Clinical applications of machine learning in the diagnosis, classification, and prediction of heart failure
Cameron Olsen, Robert J. Mentz, Kevin J. Anstrom, et al.
American Heart Journal (2020) Vol. 229, pp. 1-17
Closed Access | Times Cited: 116
Deep Learning Algorithm for Automated Cardiac Murmur Detection via a Digital Stethoscope Platform
John S. Chorba, Avi M. Shapiro, Le Le, et al.
Journal of the American Heart Association (2021) Vol. 10, Iss. 9
Open Access | Times Cited: 95
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification
Xi Wang, Hao Chen, Huiling Xiang, et al.
Medical Image Analysis (2021) Vol. 70, pp. 102010-102010
Closed Access | Times Cited: 84
Weak supervision as an efficient approach for automated seizure detection in electroencephalography
Khaled Saab, Jared Dunnmon, Christopher Ré, et al.
npj Digital Medicine (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 75
Clinically Feasible and Accurate View Classification of Echocardiographic Images Using Deep Learning
Kenya Kusunose, Akihiro Haga, M. Inoue, et al.
Biomolecules (2020) Vol. 10, Iss. 5, pp. 665-665
Open Access | Times Cited: 70
Modeling adoption of intelligent agents in medical imaging
Francisco Maria Calisto, Nuno Nunes, Jacinto C. Nascimento
International Journal of Human-Computer Studies (2022) Vol. 168, pp. 102922-102922
Closed Access | Times Cited: 68
Two-Stage Classification Model for the Prediction of Heart Disease Using IoMT and Artificial Intelligence
S. Manimurugan, Saad Almutairi, Majed Aborokbah, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 476-476
Open Access | Times Cited: 62
Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging
Sergio Sanchez‐Martinez, Óscar Cámara, Gemma Piella, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 8
Open Access | Times Cited: 57
Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality
Alvaro Ulloa, Linyuan Jing, Christopher W. Good, et al.
Nature Biomedical Engineering (2021) Vol. 5, Iss. 6, pp. 546-554
Closed Access | Times Cited: 56
Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning
Hamada R. H. Al-Absi, Mohammad Tariqul Islam, Mahmoud Ahmed Refaee, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4310-4310
Open Access | Times Cited: 49
A deep learning framework assisted echocardiography with diagnosis, lesion localization, phenogrouping heterogeneous disease, and anomaly detection
Bohan Liu, Hao Chang, Dong Yang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 31
Video-Based Deep Learning for Automated Assessment of Left Ventricular Ejection Fraction in Pediatric Patients
Charitha D. Reddy, Leo Lopez, David Ouyang, et al.
Journal of the American Society of Echocardiography (2023) Vol. 36, Iss. 5, pp. 482-489
Open Access | Times Cited: 23
Deep learning for transesophageal echocardiography view classification
Kirsten R. Steffner, Matthew Christensen, George Gill, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Progress in artificial intelligence-based visual servoing of autonomous unmanned aerial vehicles (UAVs)
Muaz Al Radi, Maryam Nooman AlMallahi, Ameena Saad Al‐Sumaiti, et al.
International Journal of Thermofluids (2024) Vol. 21, pp. 100590-100590
Open Access | Times Cited: 12
Overview and Clinical Applications of Artificial Intelligence and Machine Learning in Cardiac Anesthesiology
Michael R. Mathis, Kirsten R. Steffner, Harikesh Subramanian, et al.
Journal of Cardiothoracic and Vascular Anesthesia (2024) Vol. 38, Iss. 5, pp. 1211-1220
Closed Access | Times Cited: 12
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