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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:

Preparing Medical Imaging Data for Machine Learning
Martin J. Willemink, Wojciech A. Koszek, Cailin Hardell, et al.
Radiology (2020) Vol. 295, Iss. 1, pp. 4-15
Open Access | Times Cited: 718

Showing 1-25 of 718 citing articles:

AI in health and medicine
Pranav Rajpurkar, Emma Chen, Oishi Banerjee, et al.
Nature Medicine (2022) Vol. 28, Iss. 1, pp. 31-38
Closed Access | Times Cited: 1395
Privacy in the age of medical big data
W. Nicholson Price, I. Glenn Cohen
Nature Medicine (2018) Vol. 25, Iss. 1, pp. 37-43
Open Access | Times Cited: 928
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers
John Mongan, Linda Moy, Charles E. Kahn
Radiology Artificial Intelligence (2020) Vol. 2, Iss. 2, pp. e200029-e200029
Open Access | Times Cited: 860
AI applications to medical images: From machine learning to deep learning
Isabella Castiglioni, Leonardo Rundo, Marina Codari, et al.
Physica Medica (2021) Vol. 83, pp. 9-24
Open Access | Times Cited: 483
The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence
Martin J. Willemink, Peter B. Noël
European Radiology (2018) Vol. 29, Iss. 5, pp. 2185-2195
Open Access | Times Cited: 463
Machine learning for medical imaging: methodological failures and recommendations for the future
Gaël Varoquaux, Veronika Cheplygina
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 377
Machine learning in medical applications: A review of state-of-the-art methods
Mohammad Shehab, Laith Abualigah, Qusai Shambour, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105458-105458
Closed Access | Times Cited: 318
A foundation model for generalizable disease detection from retinal images
Yukun Zhou, Mark A. Chia, Siegfried Wagner, et al.
Nature (2023) Vol. 622, Iss. 7981, pp. 156-163
Open Access | Times Cited: 283
A survey on data‐efficient algorithms in big data era
Amina Adadi
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 222
The Current and Future State of AI Interpretation of Medical Images
Pranav Rajpurkar, Matthew P. Lungren
New England Journal of Medicine (2023) Vol. 388, Iss. 21, pp. 1981-1990
Closed Access | Times Cited: 213
Deep learning for caries detection: A systematic review
Hossein Mohammad‐Rahimi, Saeed Reza Motamedian, Mohammad Hossein Rohban, et al.
Journal of Dentistry (2022) Vol. 122, pp. 104115-104115
Closed Access | Times Cited: 160
An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude
Merel Huisman, Erik Ranschaert, William Parker, et al.
European Radiology (2021) Vol. 31, Iss. 9, pp. 7058-7066
Open Access | Times Cited: 158
Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization
Panagiotis Papadimitroulas, Lennart Brocki, Neo Christopher Chung, et al.
Physica Medica (2021) Vol. 83, pp. 108-121
Open Access | Times Cited: 152
Machine learning and deep learning approach for medical image analysis: diagnosis to detection
Meghavi Rana, Megha Bhushan
Multimedia Tools and Applications (2022) Vol. 82, Iss. 17, pp. 26731-26769
Open Access | Times Cited: 151
Deep Learning Image Reconstruction for CT: Technical Principles and Clinical Prospects
Lennart R. Koetzier, Domenico Mastrodicasa, Timothy P. Szczykutowicz, et al.
Radiology (2023) Vol. 306, Iss. 3
Open Access | Times Cited: 149
A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images
Guangyu Wang, Xiaohong Liu, Jun Shen, et al.
Nature Biomedical Engineering (2021) Vol. 5, Iss. 6, pp. 509-521
Open Access | Times Cited: 148
Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction
David Nam, Julius Chapiro, Valérie Paradis, et al.
JHEP Reports (2022) Vol. 4, Iss. 4, pp. 100443-100443
Open Access | Times Cited: 138
Criteria for the translation of radiomics into clinically useful tests
Erich P. Huang, James P.B. O’Connor, Lisa M. McShane, et al.
Nature Reviews Clinical Oncology (2022) Vol. 20, Iss. 2, pp. 69-82
Open Access | Times Cited: 132
Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging
Amirhossein Sanaat, Isaac Shiri, Hossein Arabi, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2021) Vol. 48, Iss. 8, pp. 2405-2415
Open Access | Times Cited: 118
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
Shekoofeh Azizi, Laura Culp, Jan Freyberg, et al.
Nature Biomedical Engineering (2023) Vol. 7, Iss. 6, pp. 756-779
Closed Access | Times Cited: 110
Deep Learning: An Update for Radiologists
Phillip M. Cheng, Emmanuel Montagnon, Rikiya Yamashita, et al.
Radiographics (2021) Vol. 41, Iss. 5, pp. 1427-1445
Closed Access | Times Cited: 104
Toward Generalizability in the Deployment of Artificial Intelligence in Radiology: Role of Computation Stress Testing to Overcome Underspecification
Thomas Eche, Lawrence H. Schwartz, Fatima‐Zohra Mokrane, et al.
Radiology Artificial Intelligence (2021) Vol. 3, Iss. 6
Open Access | Times Cited: 103
Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions
Shams Forruque Ahmed, Md. Sakib Bin Alam, Shaila Afrin, et al.
Information Fusion (2023) Vol. 102, pp. 102060-102060
Open Access | Times Cited: 103
Data Augmentation and Transfer Learning for Brain Tumor Detection in Magnetic Resonance Imaging
Andrés Anaya-Isaza, Leonel Mera-Jiménez
IEEE Access (2022) Vol. 10, pp. 23217-23233
Open Access | Times Cited: 87
A Systematic Review of the Barriers to the Implementation of Artificial Intelligence in Healthcare
Molla Imaduddin Ahmed, Brendan Spooner, John Isherwood, et al.
Cureus (2023)
Open Access | Times Cited: 80
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