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:

Steps to use artificial intelligence in echocardiography
Kenya Kusunose
Journal of Echocardiography (2020) Vol. 19, Iss. 1, pp. 21-27
Open Access | Times Cited: 58

Showing 26-50 of 58 citing articles:

Deep Learning Algorithm for Classifying Dilated Cardiomyopathy and Hypertrophic Cardiomyopathy in Transport Workers
Rashid Nasimov, Nigorakhon Nasimova, Botirjon Karimov, et al.
Lecture notes in computer science (2023), pp. 218-230
Closed Access | Times Cited: 6

Artificial Intelligence Based Multimodality Imaging: A New Frontier in Coronary Artery Disease Management
Riccardo Maragna, Carlo Maria Giacari, Marco Guglielmo, et al.
Frontiers in Cardiovascular Medicine (2021) Vol. 8
Open Access | Times Cited: 12

The Use of Artificial Intelligence in Automation in the Fields of Gynaecology and Obstetrics – an Assessment of the State of Play
J. Weichert, Amrei Welp, Jann Lennard Scharf, et al.
Geburtshilfe und Frauenheilkunde (2021) Vol. 81, Iss. 11, pp. 1203-1216
Open Access | Times Cited: 12

Three-Dimensional Echocardiographic Deconstruction: Feasibility of Clinical Evaluation from Two-Dimensional Views Derived from a Three-Dimensional Data Set
M.P. Henry, Juan Ignacio Cotella, Jeremy Slivnick, et al.
Journal of the American Society of Echocardiography (2022) Vol. 35, Iss. 10, pp. 1009-1017.e2
Open Access | Times Cited: 8

Broadening Perspectives of Artificial Intelligence in Echocardiography
Karthik Seetharam, Harshith Thyagaturu, Gabriel Lora Ferreira, et al.
Cardiology and Therapy (2024) Vol. 13, Iss. 2, pp. 267-279
Open Access | Times Cited: 1

Artificial Intelligence in Medicine: from Diagnosis to Treatment
Liudmyla Bashkirova, І. В. Кіт, Yury Havryshchuk, et al.
Futurity Medicine. (2024) Vol. 3, Iss. 3
Closed Access | Times Cited: 1

A multi-task deep learning approach for real-time view classification and quality assessment of echocardiographic images
Xinyu Li, Hongmei Zhang, Jing Yue, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Machine Learning and Precision Medicine in Emergency Medicine: The Basics
Sangil Lee, Samuel H. F. Lam, Thiago Augusto Hernandes Rocha, et al.
Cureus (2021)
Open Access | Times Cited: 10

Comparative Analysis of the Results of Algorithms for Dilated Cardiomyopathy and Hypertrophic Cardiomyopathy Using Deep Learning
Nigorakhon Nasimova, Bahodir Muminov, Rashid Nasimov, et al.
2021 International Conference on Information Science and Communications Technologies (ICISCT) (2021), pp. 1-5
Closed Access | Times Cited: 10

Fully automated quantification of cardiac chamber and function assessment in 2-D echocardiography: clinical feasibility of deep learning-based algorithms
Sekeun Kim, Hyung‐Bok Park, Jaeik Jeon, et al.
The International Journal of Cardiovascular Imaging (2022) Vol. 38, Iss. 5, pp. 1047-1059
Open Access | Times Cited: 6

Echocardiographic Phenotyping of Mitral Regurgitation for Clinical Decision Making
Kenya Kusunose
JACC. Cardiovascular imaging (2023) Vol. 16, Iss. 10, pp. 1268-1270
Open Access | Times Cited: 2

A comprehensive analysis of deep learning techniques for effective heart disease prediction
Ab. Qayoom Sofi, Sumina Sidiq, Majid Zaman, et al.
AIP conference proceedings (2023) Vol. 2782, pp. 020032-020032
Closed Access | Times Cited: 2

Real-time guiding by deep learning during echocardiography to reduce left ventricular foreshortening and measurement variability
Sigbjorn Sabo, Hakon Neergaard Pettersen, Erik Smistad, et al.
European Heart Journal - Imaging Methods and Practice (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 2

Artificial intelligence in echocardiography to diagnose congenital heart disease and fetal echocardiography
Addison Gearhart, Nicholas Dwork, Pei‐Ni Jone
Intelligence-Based Medicine (2022) Vol. 6, pp. 100082-100082
Open Access | Times Cited: 4

Künstliche Intelligenz in der pränatalen kardialen Diagnostik
J. Weichert, Amrei Welp, Jann Lennard Scharf, et al.
Der Gynäkologe (2021) Vol. 55, Iss. 1, pp. 22-31
Closed Access | Times Cited: 4

A Comprehensive Systematic Review for Cardiovascular Disease using Machine Learning Techniques
Islam D. S. Aabdalla, Dr.D. Vasumathi
International Journal of Artificial Intelligence & Applications (2024) Vol. 15, Iss. 1, pp. 01-23
Open Access


Islam D. S. Aabdalla, D. Vasumathi
International Journal of Artificial Intelligence & Applications (2024) Vol. 15, Iss. 1
Open Access

Changement de paradigme dans l’évaluation préopératoire : IRM vs échocardiographie
Franck Ehooman, Matthieu Poupineau, Fehmi Kattou, et al.
Le Praticien en Anesthésie Réanimation (2024) Vol. 28, Iss. 2, pp. 104-110
Closed Access

Intelligent diagnosis of atrial septal defect in children using echocardiography with deep learning
Y. Liu, Size HOU, Xiaoxiang Han, et al.
Virtual Reality & Intelligent Hardware (2024) Vol. 6, Iss. 3, pp. 217-225
Open Access

Cardiovascular Measures for Social and Behavioral Research
Mary G. Carey
Cambridge University Press eBooks (2024), pp. 455-474
Closed Access

Measuring Cardiovascular Function in Intact Experimental Models
Alfor G. Lewis, Matthew J. Campen, Aimen K. Farraj
Elsevier eBooks (2024)
Closed Access

Artificial Intelligence in Fetal and Pediatric Echocardiography
Alan Wang, Tam Doan, Charitha D. Reddy, et al.
Children (2024) Vol. 12, Iss. 1, pp. 14-14
Open Access

Cooperative metric learning-based hybrid transformer for automatic recognition of standard echocardiographic multi-views
Yiran Li, Yankun Cao, Jia Mi, et al.
Future Generation Computer Systems (2024), pp. 107693-107693
Closed Access

Multi-task Learning for Hierarchically-Structured Images: Study on Echocardiogram View Classification
Jérôme Charton, Hui Ren, Sekeun Kim, et al.
Lecture notes in computer science (2023), pp. 185-194
Closed Access | Times Cited: 1

Fine-Tuned Convolutional Neural Network for Different Cardiac View Classification
Santosh Kumar B P, Mohd Anul Haq, P. Sreenivasulu, et al.
Research Square (Research Square) (2021)
Closed Access | Times Cited: 2

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