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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:

CT ​Evaluation ​by ​Artificial ​Intelligence ​for ​Atherosclerosis, Stenosis and Vascular ​Morphology ​(CLARIFY): ​A ​Multi-center, international study
Andrew D. Choi, Hugo Marques, Vishak Kumar, et al.
Journal of cardiovascular computed tomography (2021) Vol. 15, Iss. 6, pp. 470-476
Open Access | Times Cited: 134

Showing 1-25 of 134 citing articles:

Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study
Andrew Lin, Nipun Manral, Priscilla McElhinney, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 4, pp. e256-e265
Open Access | Times Cited: 181
AI Evaluation of Stenosis on Coronary CTA, Comparison With Quantitative Coronary Angiography and Fractional Flow Reserve
William F. Griffin, Andrew D. Choi, Joanna Riess, et al.
JACC. Cardiovascular imaging (2022) Vol. 16, Iss. 2, pp. 193-205
Open Access | Times Cited: 103
Artificial intelligence in cardiovascular diseases: diagnostic and therapeutic perspectives
Xiaoyu Sun, Yuzhe Yin, Qiwei Yang, et al.
European journal of medical research (2023) Vol. 28, Iss. 1
Open Access | Times Cited: 57
Role of Cardiovascular Imaging in Risk Assessment: Recent Advances, Gaps in Evidence, and Future Directions
Francesco Perone, Marco Bernardi, Alban Redheuil, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 17, pp. 5563-5563
Open Access | Times Cited: 45
AI-Guided Quantitative Plaque Staging Predicts Long-Term Cardiovascular Outcomes in Patients at Risk for Atherosclerotic CVD
Nick S. Nurmohamed, Michiel J. Bom, Ruurt Jukema, et al.
JACC. Cardiovascular imaging (2023) Vol. 17, Iss. 3, pp. 269-280
Open Access | Times Cited: 44
Deep Learning for Head and Neck CT Angiography: Stenosis and Plaque Classification
Fan Fu, Yi Shan, Guang Yang, et al.
Radiology (2023) Vol. 307, Iss. 3
Closed Access | Times Cited: 41
Charting the Unseen: How Non-Invasive Imaging Could Redefine Cardiovascular Prevention
Giancarlo Trimarchi, Fausto Pizzino, Umberto Paradossi, et al.
Journal of Cardiovascular Development and Disease (2024) Vol. 11, Iss. 8, pp. 245-245
Open Access | Times Cited: 28
Atherosclerosis evaluation and cardiovascular risk estimation using coronary computed tomography angiography
Nick S. Nurmohamed, Alexander R. van Rosendael, Ibrahim Danad, et al.
European Heart Journal (2024) Vol. 45, Iss. 20, pp. 1783-1800
Open Access | Times Cited: 22
Artificial Intelligence for Cardiovascular Care—Part 1: Advances
Pierre Elias, Sneha S. Jain, Timothy J. Poterucha, et al.
Journal of the American College of Cardiology (2024) Vol. 83, Iss. 24, pp. 2472-2486
Closed Access | Times Cited: 19
Atherosclerosis quantification and cardiovascular risk: the ISCHEMIA trial
Nick S. Nurmohamed, James K. Min, Rebecca Anthopolos, et al.
European Heart Journal (2024) Vol. 45, Iss. 36, pp. 3735-3747
Open Access | Times Cited: 16
Evaluation of a deep learning model on coronary CT angiography for automatic stenosis detection
Jean‐François Paul, Adéla Rohnean, Henri Giroussens, et al.
Diagnostic and Interventional Imaging (2022) Vol. 103, Iss. 6, pp. 316-323
Open Access | Times Cited: 39
Cardiac CT angiography in current practice: An American society for preventive cardiology clinical practice statement✰
Matthew J. Budoff, Suvasini Lakshmanan, Peter P. Tóth, et al.
American Journal of Preventive Cardiology (2022) Vol. 9, pp. 100318-100318
Open Access | Times Cited: 38
Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis prediction
Fuminari Tatsugami, Takeshi Nakaura, Masahiro Yanagawa, et al.
Diagnostic and Interventional Imaging (2023) Vol. 104, Iss. 11, pp. 521-528
Closed Access | Times Cited: 29
Artificial intelligence in coronary computed tomography angiography: Demands and solutions from a clinical perspective
Bettina Baeßler, Michael Götz, Charalambos Antoniades, et al.
Frontiers in Cardiovascular Medicine (2023) Vol. 10
Open Access | Times Cited: 26
Advances in Coronary Computed Tomographic Angiographic Imaging of Atherosclerosis for Risk Stratification and Preventive Care
Solomon Bienstock, Fay Y. Lin, Ron Blankstein, et al.
JACC. Cardiovascular imaging (2023) Vol. 16, Iss. 8, pp. 1099-1115
Open Access | Times Cited: 24
Artificial Intelligence in Cardiovascular CT and MR Imaging
Ludovica R. M. Lanzafame, Giuseppe M. Bucolo, Giuseppe Muscogiuri, et al.
Life (2023) Vol. 13, Iss. 2, pp. 507-507
Open Access | Times Cited: 22
Evolving Developments in Cardiac CT
Jonathan D. Dodd, Jonathan Leipsic
Radiology (2023) Vol. 307, Iss. 3
Closed Access | Times Cited: 22
Beyond early LDL cholesterol lowering to prevent coronary atherosclerosis in familial hypercholesterolaemia
Shirin Ibrahim, Laurens F. Reeskamp, Jim N. de Goeij, et al.
European Journal of Preventive Cardiology (2024) Vol. 31, Iss. 7, pp. 892-900
Open Access | Times Cited: 10
Development and Validation of a Quantitative Coronary CT Angiography Model for Diagnosis of Vessel-Specific Coronary Ischemia
Nick S. Nurmohamed, Ibrahim Danad, Ruurt Jukema, et al.
JACC. Cardiovascular imaging (2024) Vol. 17, Iss. 8, pp. 894-906
Open Access | Times Cited: 9
Automated classification of coronary LEsions fRom coronary computed Tomography angiography scans with an updated deep learning model: ALERT study
Victor A. Verpalen, Casper F. Coerkamp, José P.S. Henriques, et al.
European Radiology (2025)
Open Access | Times Cited: 1
Application of AI in cardiovascular multimodality imaging
Giuseppe Muscogiuri, Valentina Volpato, Riccardo Cau, et al.
Heliyon (2022) Vol. 8, Iss. 10, pp. e10872-e10872
Open Access | Times Cited: 30
Coronary CTA plaque volume severity stages according to invasive coronary angiography and FFR
James K. Min, Hyuk‐Jae Chang, Daniele Andreini, et al.
Journal of cardiovascular computed tomography (2022) Vol. 16, Iss. 5, pp. 415-422
Open Access | Times Cited: 28
Coronary CTA With AI-QCT Interpretation: Comparison With Myocardial Perfusion Imaging for Detection of Obstructive Stenosis Using Invasive Angiography as Reference Standard
Isabella Lipkin, Anha Telluri, Yumin Kim, et al.
American Journal of Roentgenology (2022) Vol. 219, Iss. 3, pp. 407-419
Closed Access | Times Cited: 28
To pay or not to pay for artificial intelligence applications in radiology
Franziska Lobig, Dhinagar Subramanian, Michael Blankenburg, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 18
Impact of atherosclerosis imaging-quantitative computed tomography on diagnostic certainty, downstream testing, coronary revascularization, and medical therapy: the CERTAIN study
Nick S. Nurmohamed, Jason H. Cole, Matthew J. Budoff, et al.
European Heart Journal - Cardiovascular Imaging (2024) Vol. 25, Iss. 6, pp. 857-866
Open Access | Times Cited: 7
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