
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:
Radiomics Beyond the Hype: A Critical Evaluation Toward Oncologic Clinical Use
Natally Horvat, Nickolas Papanikolaou, Dow‐Mu Koh
Radiology Artificial Intelligence (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 22
Natally Horvat, Nickolas Papanikolaou, Dow‐Mu Koh
Radiology Artificial Intelligence (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 22
Showing 22 citing articles:
The widening gap between radiomics research and clinical translation: rethinking current practices and shared responsibilities
Burak Koçak, Daniel Pinto dos Santos, Matthias Dietzel
(2025), pp. 100004-100004
Open Access | Times Cited: 4
Burak Koçak, Daniel Pinto dos Santos, Matthias Dietzel
(2025), pp. 100004-100004
Open Access | Times Cited: 4
Evaluating the impact of the Radiomics Quality Score: a systematic review and meta-analysis
Nathaniel Barry, Jake Kendrick, Kaylee Molin, et al.
European Radiology (2025)
Open Access | Times Cited: 2
Nathaniel Barry, Jake Kendrick, Kaylee Molin, et al.
European Radiology (2025)
Open Access | Times Cited: 2
Diagnostic performance of microRNAs for predicting response to transarterial chemoembolization in hepatocellular carcinoma: a meta-analysis
Tianyi Huang, Jing Chen, Pengfei Zhang, et al.
Frontiers in Oncology (2025) Vol. 14
Open Access | Times Cited: 1
Tianyi Huang, Jing Chen, Pengfei Zhang, et al.
Frontiers in Oncology (2025) Vol. 14
Open Access | Times Cited: 1
The Role of Predictive and Prognostic MRI-Based Biomarkers in the Era of Total Neoadjuvant Treatment in Rectal Cancer
Sebastian Curcean, Andra Curcean, Daniela Martin, et al.
Cancers (2024) Vol. 16, Iss. 17, pp. 3111-3111
Open Access | Times Cited: 4
Sebastian Curcean, Andra Curcean, Daniela Martin, et al.
Cancers (2024) Vol. 16, Iss. 17, pp. 3111-3111
Open Access | Times Cited: 4
Artificial Intelligence in Gastrointestinal Imaging
Jaron Chong, Anish Kirpalani, Robert B. Moreland, et al.
Radiologic Clinics of North America (2025) Vol. 63, Iss. 3, pp. 477-490
Closed Access
Jaron Chong, Anish Kirpalani, Robert B. Moreland, et al.
Radiologic Clinics of North America (2025) Vol. 63, Iss. 3, pp. 477-490
Closed Access
Predicting Axillary Lymph Node Metastasis in Young Onset Breast Cancer: A Clinical-Radiomics Nomogram Based on DCE-MRI
Xia Dong, Jingwen Meng, Jun Xing, et al.
Breast Cancer Targets and Therapy (2025) Vol. Volume 17, pp. 103-113
Open Access
Xia Dong, Jingwen Meng, Jun Xing, et al.
Breast Cancer Targets and Therapy (2025) Vol. Volume 17, pp. 103-113
Open Access
Rethinking radio-genomics: pitfalls in multi-omics integration involving radiomics
Michail E. Klontzas
(2025), pp. 100012-100012
Open Access
Michail E. Klontzas
(2025), pp. 100012-100012
Open Access
Radiomics in Dermatological Optical Coherence Tomography (OCT): Feature Repeatability, Reproducibility, and Integration into Diagnostic Models in a Prospective Study
Yousif Widaatalla, Tom Wolswijk, Muhammad Danial Khan, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 768-768
Open Access
Yousif Widaatalla, Tom Wolswijk, Muhammad Danial Khan, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 768-768
Open Access
Reliability of rectal MRI radiomic features: Comparing rectal MRI radiomic features across reader expertise levels, image segmentation technique, and timing of rectal MRI in patients with locally advanced rectal cancer
Charlotte Charbel, Henry Kwok, João Miranda, et al.
European Journal of Radiology (2025) Vol. 185, pp. 112019-112019
Closed Access
Charlotte Charbel, Henry Kwok, João Miranda, et al.
European Journal of Radiology (2025) Vol. 185, pp. 112019-112019
Closed Access
Diagnostic Accuracy of Radiomics in the Early Detection of Pancreatic Cancer: A Systematic Review and Qualitative Assessment Using the Methodological Radiomics Score (METRICS)
María Estefanía Renjifo-Correa, Salvatore Claudio Fanni, Luis Alfonso Bustamante Cristancho, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 803-803
Open Access
María Estefanía Renjifo-Correa, Salvatore Claudio Fanni, Luis Alfonso Bustamante Cristancho, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 803-803
Open Access
AI and human interactions in prostate cancer diagnosis using MRI
Anwar R. Padhani, Nickolas Papanikolaou
European Radiology (2025)
Closed Access
Anwar R. Padhani, Nickolas Papanikolaou
European Radiology (2025)
Closed Access
Preoperative Assessment of Tumor Consistency and Gross Total Resection in Pituitary Adenoma: Radiomic Analysis of T2-weighted MRI and Interpretation of Contributing Radiomic Features
Martin Černý, Vojtěch Sedlák, Martin Májovský, et al.
Brain and Spine (2025), pp. 104237-104237
Open Access
Martin Černý, Vojtěch Sedlák, Martin Májovský, et al.
Brain and Spine (2025), pp. 104237-104237
Open Access
Radiomics and machine learning for predicting metachronous liver metastasis in rectal cancer
Arunkumar Krishnan
World Journal of Gastrointestinal Oncology (2025) Vol. 17, Iss. 4
Closed Access
Arunkumar Krishnan
World Journal of Gastrointestinal Oncology (2025) Vol. 17, Iss. 4
Closed Access
Sample size estimation for radiomics studies: an overlooked problem
Michail E. Klontzas, Burak Koçak, Renato Cuocolo
European Radiology (2025)
Closed Access
Michail E. Klontzas, Burak Koçak, Renato Cuocolo
European Radiology (2025)
Closed Access
Deep learning-based segmentation of gallbladder cancer on abdominal computed tomography scans: a multicenter study
Pankaj Gupta, N Dutta, Ajay Tomar, et al.
Abdominal Radiology (2025)
Closed Access
Pankaj Gupta, N Dutta, Ajay Tomar, et al.
Abdominal Radiology (2025)
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
Chengyue Wu, Meryem Abbad Andaloussi, David A. Hormuth, et al.
npj Imaging (2025) Vol. 3, Iss. 1
Open Access
Artificial intelligence-driven radiomics: developing valuable radiomics signatures with the use of artificial intelligence
Konstantinos Vrettos, Matthaios Triantafyllou, Kostas Marias, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 3
Konstantinos Vrettos, Matthaios Triantafyllou, Kostas Marias, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 3
AI-ready rectal cancer MR imaging: a workflow for tumor detection and segmentation
Heather M. Selby, Young‐Ik Son, Vipul Sheth, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
Heather M. Selby, Young‐Ik Son, Vipul Sheth, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
“Application of CT radiomics in brain metastasis of lung cancer: A systematic review and meta-analysis”
Ting Li, Tian Gan, Jingting Wang, et al.
Clinical Imaging (2024) Vol. 114, pp. 110275-110275
Closed Access | Times Cited: 1
Ting Li, Tian Gan, Jingting Wang, et al.
Clinical Imaging (2024) Vol. 114, pp. 110275-110275
Closed Access | Times Cited: 1
Comparative Analysis of Repeatability in CT Radiomics and Dosiomics Features under Image Perturbation: A Study in Cervical Cancer Patients
Zongrui Ma, Jiang Zhang, Xi Liu, et al.
Cancers (2024) Vol. 16, Iss. 16, pp. 2872-2872
Open Access
Zongrui Ma, Jiang Zhang, Xi Liu, et al.
Cancers (2024) Vol. 16, Iss. 16, pp. 2872-2872
Open Access
Study on the classification of benign and malignant breast lesions using a multi-sequence breast MRI fusion radiomics and deep learning model
Wenjiang Wang, Jiaojiao Li, Zimeng Wang, et al.
European Journal of Radiology Open (2024) Vol. 13, pp. 100607-100607
Closed Access
Wenjiang Wang, Jiaojiao Li, Zimeng Wang, et al.
European Journal of Radiology Open (2024) Vol. 13, pp. 100607-100607
Closed Access
Study of prediction model for high-grade meningioma using fractal geometry combined with radiological features
Zhaoxin Fan, Aili Gao, Jie Zhang, et al.
Journal of Neuro-Oncology (2024)
Closed Access
Zhaoxin Fan, Aili Gao, Jie Zhang, et al.
Journal of Neuro-Oncology (2024)
Closed Access