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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:

Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
Richard Osuala, Kaisar Kushibar, Lidia Garrucho, et al.
Medical Image Analysis (2022) Vol. 84, pp. 102704-102704
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Artificial Intelligence for breast cancer detection: Technology, challenges, and prospects
Oliver Díaz, Alejandro Rodríguez‐Ruiz, Ioannis Sechopoulos
European Journal of Radiology (2024) Vol. 175, pp. 111457-111457
Open Access | Times Cited: 20
medigan: a Python library of pretrained generative models for medical image synthesis
Richard Osuala, Grzegorz Skorupko, Noussair Lazrak, et al.
Journal of Medical Imaging (2023) Vol. 10, Iss. 06
Open Access | Times Cited: 25
Building Digital Twins for Cardiovascular Health: From Principles to Clinical Impact
Kaan Sel, Deen Osman, Fatemeh Zare, et al.
Journal of the American Heart Association (2024) Vol. 13, Iss. 19
Open Access | Times Cited: 8
Opportunities and Challenges of Synthetic Data Generation in Oncology
Flavia Jacobs, Saverio D’Amico, C. Benvenuti, et al.
JCO Clinical Cancer Informatics (2023), Iss. 7
Closed Access | Times Cited: 16
A novel generative adversarial networks modelling for the class imbalance problem in high dimensional omics data
Samuel Cusworth, Georgios V. Gkoutos, Animesh Acharjee
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5
Computational Nuclear Oncology Toward Precision Radiopharmaceutical Therapies: Ethical, Regulatory, and Socioeconomic Dimensions of Theranostic Digital Twins
Lidia Strigari, Julie K. Schwarz, Tyler Bradshaw, et al.
Journal of Nuclear Medicine (2025), pp. jnumed.124.268186-jnumed.124.268186
Closed Access
A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations
Lidia Garrucho, Kaisar Kushibar, Claire-Anne Reidel, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection
Lidia Garrucho, Kaisar Kushibar, Richard Osuala, et al.
Frontiers in Oncology (2023) Vol. 12
Open Access | Times Cited: 15
Pre- to post-contrast breast MRI synthesis for enhanced tumour segmentation
Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, et al.
Medical Imaging 2022: Image Processing (2024) Vol. 30, pp. 31-31
Open Access | Times Cited: 4
Challenging the status quo: Why artificial intelligence models must go beyond accuracy in cervical cancer diagnosis
Yousry AbdulAzeem, Hossam Magdy Balaha, Hanaa ZainEldin, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107620-107620
Closed Access
Enhancing the Utility of Privacy-Preserving Cancer Classification Using Synthetic Data
Richard Osuala, Daniel M. Lang, Anneliese Riess, et al.
Lecture notes in computer science (2025), pp. 54-64
Closed Access
ECP-GAN: Generating Endometrial Cancer Pathology Images and Segmentation Labels via Two-Stage Generative Adversarial Networks
Tong Yang, Bo Liu
Annals of Surgical Oncology (2025)
Closed Access
Multi-modal MRI synthesis with conditional latent diffusion models for data augmentation in tumor segmentation
Aghiles Kebaili, Jérôme Lapuyade‐Lahorgue, Pierre Véra, et al.
Computerized Medical Imaging and Graphics (2025) Vol. 123, pp. 102532-102532
Closed Access
AI in Breast Cancer Imaging: A Survey of Different Applications
João Mendes, José Domingues, Helena Aidos, et al.
Journal of Imaging (2022) Vol. 8, Iss. 9, pp. 228-228
Open Access | Times Cited: 19
Artificial intelligence in endodontics: Data preparation, clinical applications, ethical considerations, limitations, and future directions
Hossein Mohammad‐Rahimi, Fatemeh Sohrabniya, Seyed AmirHossein Ourang, et al.
International Endodontic Journal (2024) Vol. 57, Iss. 11, pp. 1566-1595
Open Access | Times Cited: 3
Generative adversarial network-based synthesis of contrast-enhanced MR images from precontrast images for predicting histological characteristics in breast cancer
Ming Fan, Xuan Cao, Fuqing Lü, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 9, pp. 095002-095002
Closed Access | Times Cited: 2
Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image- and Signal-Based Studies
Muhammed Halil Akpınar, Abdulkadir Şengür, Massimo Salvi, et al.
IEEE Open Journal of Engineering in Medicine and Biology (2024) Vol. 6, pp. 183-192
Open Access | Times Cited: 2
A Novel COVID-19 Detection Model Based on DCGAN and Deep Transfer Learning
Murali Krishna Puttagunta, S. Ravi, C. Nelson Kennedy Babu
Procedia Computer Science (2022) Vol. 204, pp. 65-72
Open Access | Times Cited: 11
Enhancing cancer differentiation with synthetic MRI examinations via generative models: a systematic review
Avtantil Dimitriadis, Eleftherios Trivizakis, Nikolaos Papanikolaou, et al.
Insights into Imaging (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and Recommendations
David Clunie, Adam E. Flanders, Adam Taylor, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 5
Synthesizing Retinal Images using End-To-End VAEs-GAN Pipeline-Based Sharpening and Varying Layer
Ali Q Saeed, Siti Norul Huda Sheikh Abdullah, Jemaima Che-Hamzah, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 1, pp. 1283-1307
Open Access | Times Cited: 5
Synthesis of Hybrid Data Consisting of Chest Radiographs and Tabular Clinical Records Using Dual Generative Models for COVID-19 Positive Cases
Tomohiro Kikuchi, Shouhei Hanaoka, Takahiro Nakao, et al.
Deleted Journal (2024) Vol. 37, Iss. 3, pp. 1217-1227
Open Access | Times Cited: 1
Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance
J. Niehues, Gustav Müller‐Franzes, Yoni Schirris, et al.
Computers in Biology and Medicine (2024) Vol. 175, pp. 108410-108410
Open Access | Times Cited: 1
Generative Adversarial Networks (GANs) in the Field of Head and Neck Surgery: Current Evidence and Prospects for the Future—A Systematic Review
Luca Michelutti, Alessandro Tel, Marco Zeppieri, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 12, pp. 3556-3556
Open Access | Times Cited: 1
Artificial Intelligence in Diagnostic Imaging
Ryan Appleby, Parminder S. Basran
Advances in Small Animal Care (2024) Vol. 5, Iss. 1, pp. 67-77
Closed Access | Times Cited: 1
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