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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:

Robustness of radiomics to variations in segmentation methods in multimodal brain MRI
Maarten Gijsbert Poirot, Matthan W.A. Caan, Henricus G. Ruhé, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 23

Showing 23 citing articles:

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 | Times Cited: 1
Development of End-to-End AI–Based MRI Image Analysis System for Predicting IDH Mutation Status of Patients with Gliomas: Multicentric Validation
João Santinha, Vasileios K. Katsaros, George Stranjalis, et al.
Deleted Journal (2024) Vol. 37, Iss. 1, pp. 31-44
Open Access | Times Cited: 5
Artificial intelligence applied to the diagnosis of colorectal cancer
Ana Jiménez-Pastor, Carmen Prieto-de-la-Lastra
Elsevier eBooks (2025), pp. 249-260
Closed Access
A critical assessment of artificial intelligence in magnetic resonance imaging of cancer
Chengyue Wu, Meryem Abbad Andaloussi, David A. Hormuth, et al.
npj Imaging (2025) Vol. 3, Iss. 1
Open Access
A Critical Analysis of the Robustness of Radiomics to Variations in Segmentation Methods in 18F-PSMA-1007 PET Images of Patients Affected by Prostate Cancer
Giovanni Pasini, G. Russo, Cristina Mantarro, et al.
Diagnostics (2023) Vol. 13, Iss. 24, pp. 3640-3640
Open Access | Times Cited: 10
Development and benchmarking of a Deep Learning-based MRI-guided gross tumor segmentation algorithm for Radiomics analyses in extremity soft tissue sarcomas
Jan C. Peeken, Lucas Etzel, Tim Tomov, et al.
Radiotherapy and Oncology (2024) Vol. 197, pp. 110338-110338
Open Access | Times Cited: 3
Radiomics and radiogenomics of central nervous system metastatic lesions
Teresa Perillo, Carmela Somma, Marco De Giorgi, et al.
Elsevier eBooks (2024), pp. 235-249
Closed Access | Times Cited: 2
End-to-end reproducible AI pipelines in radiology using the cloud
Dennis Bontempi, Leonard Nuernberg, Suraj Pai, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Bibliometric and visual analysis of radiomics for evaluating lymph node status in oncology
Guiwen Lyu, Tong Tong, Gendong Yang, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 1
Leveraging epistemic uncertainty to improve tumour segmentation in breast MRI: an exploratory analysis
Saurabh Joshi, Richard Osuala, Lidia Garrucho, et al.
Medical Imaging 2022: Image Processing (2024) Vol. 30, pp. 39-39
Closed Access
Development and Implementation of an Innovative Framework for Automated Radiomics Analysis in Neuroimaging
Chiara Camastra, Giovanni Pasini, Alessandro Stefano, et al.
Journal of Imaging (2024) Vol. 10, Iss. 4, pp. 96-96
Open Access
Reproducibility of radiomic features of the brain on ultrahigh-resolution MRI at 7 Tesla: a comparison of different segmentation techniques
J. A. Klinger, Doris Leithner, Sungmin Woo, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Incremental Role of Radiomics and Artificial Intelligence
László Papp, Clemens P. Spielvogel, David Haberl, et al.
(2024), pp. 161-172
Closed Access
Autofluorescence-based tissue characterization enhances clinical prospects of light-sheet-microscopy
Alice M. Jacob, Anna F. Lindemann, Julia Wagenpfeil, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Prediction of Methylphenidate Treatment Response for Adhd Using Conventional and Radiomics T1 and Dti Features: Secondary Analysis of a Randomized Clinical Trial
Mingshi Chen, Zarah van der Pal, Maarten G. Poirot, et al.
(2024)
Closed Access
Prediction of methylphenidate treatment response for ADHD using conventional and radiomics T1 and DTI features: Secondary analysis of a randomized clinical trial
Mingshi Chen, Zarah van der Pal, Maarten G. Poirot, et al.
NeuroImage Clinical (2024) Vol. 45, pp. 103707-103707
Open Access
Magnetic Resonance Imaging Liver Segmentation Protocol Enables More Consistent and Robust Annotations, Paving the Way for Advanced Computer-Assisted Analysis
Patrick Jeltsch, Killian Monnin, Mario Jreige, et al.
Diagnostics (2024) Vol. 14, Iss. 24, pp. 2785-2785
Open Access
A Comprehensive Evaluation of Radiomic Features in Normal Brain Magnetic Resonance Imaging: Investigating Robustness and Region Variations
Mahsa Shakeri, Ahmad Mostaar, Arash Zare-Sadeghi, et al.
Journal of Medical Physics (2024) Vol. 49, Iss. 4, pp. 608-622
Open Access
Segmentation agreement and the reliability of radiomics features
Isabella Cama, Valentina Candiani, Luca Roccatagliata, et al.
Advances in Computational Science and Engineering (2023) Vol. 1, Iss. 2, pp. 202-217
Open Access | Times Cited: 1
Transparent and Reproducible AI-based Medical Imaging Pipelines Using the Cloud
Dennis Bontempi, Leonard Nuernberg, Deepa Krishnaswamy, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Radiomics in precision oncology: hype or ludum mutante
Shi Hui Tay, Xin Zhang, Melvin L.K. Chua
BMC Medicine (2023) Vol. 21, Iss. 1
Open Access
Facts and Needs to Improve Radiomics Reproducibility
Peter M. A. van Ooijen, Renato Cuocolo, Nanna M. Sijtsema
Imaging informatics for healthcare professionals (2023), pp. 79-93
Closed Access
Harmonization in the Features Domain
J. Lozano-Montoya, Ana Jiménez-Pastor
Imaging informatics for healthcare professionals (2023), pp. 145-166
Closed Access
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