Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 learning-based model detects atrial septal defects from electrocardiography: a cross-sectional multicenter hospital-based study
Kotaro Miura, Ryuichiro Yagi, Hiroshi Miyama, et al.
EClinicalMedicine (2023) Vol. 63, pp. 102141-102141
Open Access | Times Cited: 15

Showing 15 citing articles:

Unlocking the potential of artificial intelligence in sports cardiology: does it have a role in evaluating athlete’s heart?
Stefano Palermi, Marco Vecchiato, Andrea Saglietto, et al.
European Journal of Preventive Cardiology (2024) Vol. 31, Iss. 4, pp. 470-482
Closed Access | Times Cited: 13
Dynamic prediction of malignant ventricular arrhythmias using neural networks in patients with an implantable cardioverter-defibrillator
Maarten Z H Kolk, Samuel Ruipérez-Campillo, Laura Alvarez-Florez, et al.
EBioMedicine (2023) Vol. 99, pp. 104937-104937
Open Access | Times Cited: 20
Artificial intelligence-enabled 8-lead ECG detection of atrial septal defect among adults: a novel diagnostic tool
Qiushi Luo, Hongling Zhu, Jiabing Zhu, et al.
Frontiers in Cardiovascular Medicine (2023) Vol. 10
Open Access | Times Cited: 11
Pediatric Electrocardiogram-Based Deep Learning to Predict Secundum Atrial Septal Defects
Joshua Mayourian, Robert L. Geggel, William La Cava, et al.
Pediatric Cardiology (2024)
Open Access | Times Cited: 3
Literature Review of the Use of Deep Learning Methods in Identification of Heart Defects Based on ECG
Darwan
Journal of Applied Artificial Intelligence (2024) Vol. 5, Iss. 1, pp. 28-40
Open Access | Times Cited: 1
Integration of Artificial Intelligence in Medicines
Masaki Mori
JMA Journal (2024) Vol. 7, Iss. 3, pp. 299-300
Open Access | Times Cited: 1
A Real-Time End-to-End Framework with a Stacked Model Using Ultrasound Video for Cardiac Septal Defect Decision-Making
Siti Nurmaini, Ria Nova, Ade Iriani Sapitri, et al.
Journal of Imaging (2024) Vol. 10, Iss. 11, pp. 280-280
Open Access | Times Cited: 1
Application of artificial intelligence in VSD prenatal diagnosis from fetal heart ultrasound images
Furong Li, Ping Li, Zhonghua Liu, et al.
BMC Pregnancy and Childbirth (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Artificial Intelligence in Pediatric Electrocardiography: A Comprehensive Review
David M. Leone, Donnchadh O’Sullivan, Katia Bravo Jaimes
Children (2024) Vol. 12, Iss. 1, pp. 25-25
Open Access | Times Cited: 1
The Importance of Interpretability and Validations of Machine-Learning Models
Daisuke Yamasawa, Hideki Ozawa, Shinichi Goto
Circulation Journal (2023) Vol. 88, Iss. 1, pp. 157-158
Open Access | Times Cited: 2
総合健診における人工知能への期待
Shinichi Goto
Health Evaluation and Promotion (2024) Vol. 51, Iss. 2, pp. 209-214
Open Access
Transesophageal echocardiography diagnosis of abnormal left atrium to inferior vena cava communication: A case report
Hui Xu, Dianbo Cao, Xiaodong Li
Clinical Case Reports (2024) Vol. 12, Iss. 8
Open Access
Estimating ECG Intervals from Lead-I Alone: External Validation of Supervised Models
Ridwan Alam, Collin M. Stultz
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
AI Research fellowship in Boston
Ryuichiro Yagi
Japanese Journal of Thrombosis and Hemostasis (2024) Vol. 35, Iss. 4, pp. 555-556
Open Access
Response to the Letter by Matsubara
Masaki Mori
JMA Journal (2024) Vol. 7, Iss. 4, pp. 650-650
Open Access
Page 1

Scroll to top