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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:

Convolutional neural networks for detection of transthyretin amyloidosis in 2D scintigraphy images
Hanna-Leena Halme, Toni Ihalainen, Olli Suomalainen, et al.
EJNMMI Research (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 17

Showing 17 citing articles:

How Artificial Intelligence Can Enhance the Diagnosis of Cardiac Amyloidosis: A Review of Recent Advances and Challenges
Moaz Kamel, Mohammed Tiseer Abbas, Christopher N. Kanaan, et al.
Journal of Cardiovascular Development and Disease (2024) Vol. 11, Iss. 4, pp. 118-118
Open Access | Times Cited: 10
Current and Evolving Multimodality Cardiac Imaging in Managing Transthyretin Amyloid Cardiomyopathy
Louhai Alwan, Dominik C. Benz, Sarah Cuddy, et al.
JACC. Cardiovascular imaging (2023) Vol. 17, Iss. 2, pp. 195-211
Closed Access | Times Cited: 17
Can deep learning effectively diagnose cardiac amyloidosis with 99mTc-PYP scintigraphy?
Adem Maman, İshak Paçal, Fatih Batı
Journal of Radioanalytical and Nuclear Chemistry (2024)
Closed Access | Times Cited: 5
2025 Update Consensus of
Shan-Ying Wang, Yih-Hwen Huang, Yi‐Chieh Chen, et al.
PubMed (2025) Vol. 41, Iss. 1, pp. 55-71
Closed Access
A review of evaluation approaches for explainable AI with applications in cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 4
Artificial intelligence-based cardiac transthyretin amyloidosis detection and scoring in scintigraphy imaging: multi-tracer, multi-scanner, and multi-center development and evaluation study
Yazdan Salimi, Isaac Shiri, Zahra Mansouri, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Open Access
Artificial Intelligence in Nuclear Cardiology
Robert J.H. Miller
Cardiology Clinics (2023) Vol. 41, Iss. 2, pp. 151-161
Closed Access | Times Cited: 9
Prevalence of Incidental Findings Suspicious for Transthyretin Cardiac Amyloidosis among Patients Undergoing Bone Scintigraphy: A Systematic Review and a Meta-Analysis
Giorgio Treglia, Chiara Martinello, Francesco Dondi, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 17, pp. 5698-5698
Open Access | Times Cited: 8
Multi-modality artificial intelligence-based transthyretin amyloid cardiomyopathy detection in patients with severe aortic stenosis
Isaac Shiri, Sebastian Balzer, Giovanni Baj, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2024)
Open Access | Times Cited: 2
A Deep Learning-Based Model for Classifying Osteoporotic Lumbar Vertebral Fractures on Radiographs: A Retrospective Model Development and Validation Study
Yohei Ono, Nobuaki Suzuki, Ryosuke Sakano, et al.
Journal of Imaging (2023) Vol. 9, Iss. 9, pp. 187-187
Open Access | Times Cited: 6
Deep Learning to Classify AL versus ATTR Cardiac Amyloidosis MR Images
Philippe Germain, Armine Vardazaryan, Aïssam Labani, et al.
Biomedicines (2023) Vol. 11, Iss. 1, pp. 193-193
Open Access | Times Cited: 5
Cardiac Amyloidosis: A Comprehensive Review of Pathophysiology, Diagnostic Approach, Applications of Artificial Intelligence, and Management Strategies
Md Ripon Ahammed, Fariha Noor Ananya
Cureus (2024)
Open Access | Times Cited: 1
AI Techniques and IoT Applications Transforming the Future of Healthcare
Vishal Kumar Sahu, Amit Ranjan, Manash K. Paul, et al.
Advances in healthcare information systems and administration book series (2023), pp. 210-233
Closed Access | Times Cited: 3
A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
(2023)
Open Access | Times Cited: 1
Reply
M.A. Delbarre, François Girardon, Thibaud Damy
JACC. Cardiovascular imaging (2023) Vol. 16, Iss. 8, pp. 1125-1125
Open Access
Deep Learning on Bone Scintigraphy
Hanna-Leena Halme, Eero Hippeläinen, Valtteri Uusitalo
JACC. Cardiovascular imaging (2023) Vol. 16, Iss. 8, pp. 1124-1124
Closed Access
A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
(2023)
Open Access
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