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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:

Automatic Diagnosis of Coronary Artery Disease in SPECT Myocardial Perfusion Imaging Employing Deep Learning
Νικόλαος Παπανδριανός, Elpiniki I. Papageorgiou
Applied Sciences (2021) Vol. 11, Iss. 14, pp. 6362-6362
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Direct Risk Assessment From Myocardial Perfusion Imaging Using Explainable Deep Learning
Ananya Singh, Robert J.H. Miller, Yuka Otaki, et al.
JACC. Cardiovascular imaging (2022) Vol. 16, Iss. 2, pp. 209-220
Open Access | Times Cited: 29
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
Deep learning-enhanced nuclear medicine SPECT imaging applied to cardiac studies
Ioannis D. Apostolopoulos, Νικόλαος Παπανδριανός, Anna Feleki, et al.
EJNMMI Physics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 17
Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging: a comprehensive deep learning study
Ghasem Hajianfar, Omid Gharibi, Maziar Sabouri, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Open Access
Deep learning in nuclear medicine: from imaging to therapy
Meng-Xin Zhang, Pengfei Liu, Mengdi Zhang, et al.
Annals of Nuclear Medicine (2025)
Closed Access
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
Diagnosis of Coronary Artery Disease from Myocardial Perfusion Imaging Using Convolutional Neural Networks
Vincent Peter C. Magboo, Ma. Sheila A. Magboo
Procedia Computer Science (2023) Vol. 218, pp. 810-817
Open Access | Times Cited: 11
Developing a Deep-Learning-Based Coronary Artery Disease Detection Technique Using Computer Tomography Images
Abdul Rahaman Wahab Sait, Ashit Kumar Dutta
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1312-1312
Open Access | Times Cited: 10
Machine and deep learning models for accurate detection of ischemia and scar with myocardial blood flow positron emission tomography imaging
Daniel S. Berman, Chad Hunter, Alomgir Hossain, et al.
Journal of Nuclear Cardiology (2024) Vol. 32, pp. 101797-101797
Closed Access | Times Cited: 3
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
Detecting Coronary Artery Disease from Computed Tomography Images Using a Deep Learning Technique
Abdulaziz Fahad Alothman, Abdul Rahaman Wahab Sait, Thamer Abdullah Alhussain
Diagnostics (2022) Vol. 12, Iss. 9, pp. 2073-2073
Open Access | Times Cited: 13
Ensemble Learning-Based Coronary Artery Disease Detection Using Computer Tomography Images
Abdul Rahaman Wahab Sait, Amine Awad
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1238-1238
Open Access | Times Cited: 2
Explainable deep learning-based ischemia detection using hybrid O-15 H2O perfusion PET/CT imaging and clinical data
Jarmo Teuho, Jussi Schultz, Riku Klén, et al.
Journal of Nuclear Cardiology (2024) Vol. 38, pp. 101889-101889
Open Access | Times Cited: 2
Deep learning exploration for SPECT MPI polar map images classification in coronary artery disease
Νικόλαος Παπανδριανός, Ioannis D. Apostolopoulos, Anna Feleki, et al.
Annals of Nuclear Medicine (2022) Vol. 36, Iss. 9, pp. 823-833
Closed Access | Times Cited: 10
Innovative Attention-Based Explainable Feature-Fusion VGG19 Network for Characterising Myocardial Perfusion Imaging SPECT Polar Maps in Patients with Suspected Coronary Artery Disease
Ioannis D. Apostolopoulos, Νικόλαος Παπαθανασίου, Νικόλαος Παπανδριανός, et al.
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8839-8839
Open Access | Times Cited: 5
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
Detecting cardiovascular diseases from radiographic images using deep learning techniques
Majed Alsanea, Ashit Kumar Dutta
Expert Systems (2024) Vol. 41, Iss. 7
Closed Access | Times Cited: 1
UTAC-Net: A Semantic Segmentation Model for Computer-Aided Diagnosis for Ischemic Region Based on Nuclear Medicine Cerebral Perfusion Imaging
Wangxiao Li, Wei Zhang
Electronics (2024) Vol. 13, Iss. 8, pp. 1466-1466
Open Access | Times Cited: 1
SPECT-MPI for Coronary Artery Disease: A Deep Learning Approach
Vincent Peter C. Magboo, Ma. Sheila A. Magboo
Acta Medica Philippina (2023)
Open Access | Times Cited: 3
RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph
Shipeng Guo, Kunpeng Liu, Pengfei Wang, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2023), pp. 1049-1054
Closed Access | Times Cited: 3
Special Issue on “Machine Learning/Deep Learning in Medical Image Processing”
Mizuho Nishio
Applied Sciences (2021) Vol. 11, Iss. 23, pp. 11483-11483
Open Access | Times Cited: 7
Evaluation of Single-Photon Emission Computed Tomography Myocardial Perfusion Detection Capability through Physical Descriptors
Dea Dundara Debeljuh, Roberta Matheoud, Ivan Pribanić, et al.
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5283-5283
Open Access
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
A Fuzzy Cognitive Map Learning Approach for Coronary Artery Disease Diagnosis in Nuclear Medicine
Anna Feleki, Ioannis D. Apostolopoulos, K. Papageorgiou, et al.
Lecture notes in computer science (2023), pp. 14-25
Closed Access | Times Cited: 1
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
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