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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 Learning-Based Automated Diagnosis for Coronary Artery Disease Using SPECT-MPI Images
Νικόλαος Παπανδριανός, Anna Feleki, Elpiniki I. Papageorgiou, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 13, pp. 3918-3918
Open Access | Times Cited: 20

Showing 20 citing articles:

Machine Learning-Based Predictive Models for Detection of Cardiovascular Diseases
Adedayo Ogunpola, Faisal Saeed, Shadi Basurra, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 144-144
Open Access | Times Cited: 48
An Explainable Classification Method of SPECT Myocardial Perfusion Images in Nuclear Cardiology Using Deep Learning and Grad-CAM
Νικόλαος Παπανδριανός, Anna Feleki, Serafeim Moustakidis, et al.
Applied Sciences (2022) Vol. 12, Iss. 15, pp. 7592-7592
Open Access | Times Cited: 28
Artificial Intelligence–Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging
Robert J.H. Miller, Paul Kavanagh, Mark A. Lemley, et al.
Journal of Nuclear Medicine (2025), pp. jnumed.124.268079-jnumed.124.268079
Closed Access
Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study
Mehdi Amini, Mohamad Pursamimi, Ghasem Hajianfar, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14
Automatic Quantitative Coronary Analysis Based on Deep Learning
Xuqing Liu, Xiaofei Wang, Donghao Chen, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 2975-2975
Open Access | Times Cited: 10
Explainable Deep Fuzzy Cognitive Map Diagnosis of Coronary Artery Disease: Integrating Myocardial Perfusion Imaging, Clinical Data, and Natural Language Insights
Anna Feleki, Ioannis D. Apostolopoulos, Serafeim Moustakidis, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11953-11953
Open Access | Times Cited: 9
An Application of Machine Learning to Logistics Performance Prediction: An Economics Attribute-Based of Collective Instance
Suriyan Jomthanachai, Wai Peng Wong, Khai Wah Khaw
Computational Economics (2023) Vol. 63, Iss. 2, pp. 741-792
Open Access | Times Cited: 7
Automatic multi-disease classification on retinal images using multilevel glowworm swarm convolutional neural network
Rupali S. Chavan, D. J. Pete
Journal of Engineering and Applied Science (2024) Vol. 71, Iss. 1
Open Access | Times Cited: 2
Predicting long-term time to cardiovascular incidents using myocardial perfusion imaging and deep convolutional neural networks
Yilian Li, Hsin‐Bang Leu, Chien-Hsin Ting, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
AI-based classification algorithms in SPECT myocardial perfusion imaging for cardiovascular diagnosis: a review
Νικόλαος Παπανδριανός, Ioannis D. Apostolopoulos, Anna Feleki, et al.
Nuclear Medicine Communications (2022) Vol. 44, Iss. 1, pp. 1-11
Closed Access | Times Cited: 8
Towards explainability in artificial intelligence frameworks for heartcare: A comprehensive survey
M. U. Sreeja, Abin Oommen Philip, M. H. Supriya
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 6, pp. 102096-102096
Open Access | Times Cited: 1
The Role of Deep Learning in Myocardial Perfusion Imaging for Diagnosis and Prognosis: A Systematic Review
Xueping Hu, Han Zhang, Federico Caobelli, et al.
iScience (2024) Vol. 27, Iss. 12, pp. 111374-111374
Open Access | Times Cited: 1
Deep Learning for Cardiac Imaging: Focus on Myocardial Diseases: A Narrative Review
Theodoros Tsampras, Theodora Karamanidou, Giorgos Papanastasiou, et al.
Hellenic Journal of Cardiology (2024)
Open Access | Times Cited: 1
Between Two Worlds: Investigating the Intersection of Human Expertise and Machine Learning in the Case of Coronary Artery Disease Diagnosis
Ioannis D. Apostolopoulos, Νικόλαος Παπανδριανός, Dimitrios Apostolopoulos, et al.
Bioengineering (2024) Vol. 11, Iss. 10, pp. 957-957
Open Access
Cross-Task Data Augmentation by Pseudo-Label Generation for Region Based Coronary Artery Instance Segmentation
Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, et al.
Lecture notes in computer science (2024), pp. 166-175
Closed Access
Evaluation of myocardial perfusion imaging techniques and artificial intelligence (AI) tools in coronary artery disease (CAD) diagnosis through multi-criteria decision-making method
Hasan Erdagli, Dilber Uzun Ozsahin, Berna Uzun
Cardiovascular Diagnosis and Therapy (2024) Vol. 14, Iss. 6, pp. 1134-1147
Open Access
Case Studies on X-ray Imaging, MRI and Nuclear Imaging
Shuvra Sarker, Angona Biswas, Nasim Md Abdullah Al, et al.
(2023), pp. 207-225
Closed Access | Times Cited: 1
Applications of Artificial Intelligence in Cardiac Electrophysiology and Clinical Diagnosis with Magnetic Resonance Imaging and Computational Modeling Techniques
Heqing Zhan, Guilai Han, Chuanan Wei, et al.
Journal of Shanghai Jiaotong University (Science) (2023) Vol. 30, Iss. 1, pp. 53-65
Closed Access
Deep Fuzzy Cognitive Map methodology for Non-Small Cell Lung Cancer diagnosis based on Positron Emission Tomography imaging
Anna Feleki, Ioannis D. Apostolopoulos, Elpiniki I. Papageorgiou, et al.
(2023), pp. 1-6
Closed Access
Abnormal Parathyroid Gland Localization in Scintigraphic Images Using a Vision Transformer Network
Ioannis D. Apostolopoulos, Νικόλαος Παπαθανασίου, Νικόλαος Παπανδριανός, et al.
(2023), pp. 1-8
Closed Access
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