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:
Multi-modal magnetic resonance imaging-based grading analysis for gliomas by integrating radiomics and deep features
Zhenyuan Ning, Jiaxiu Luo, Qing Xiao, et al.
Annals of Translational Medicine (2021) Vol. 9, Iss. 4, pp. 298-298
Open Access | Times Cited: 35
Zhenyuan Ning, Jiaxiu Luo, Qing Xiao, et al.
Annals of Translational Medicine (2021) Vol. 9, Iss. 4, pp. 298-298
Open Access | Times Cited: 35
Showing 26-50 of 35 citing articles:
A combined model integrating radiomics and deep learning based on multiparametric magnetic resonance imaging for classification of brain metastases
Bo Zhang, Jinling Zhu, Ruizhe Xu, et al.
Acta Radiologica (2024)
Closed Access
Bo Zhang, Jinling Zhu, Ruizhe Xu, et al.
Acta Radiologica (2024)
Closed Access
Enhancing brain tumor classification by integrating radiomics and deep learning features: A comprehensive study utilizing ensemble methods on MRI scans
Liang Yin, Jing Wang
Journal of X-Ray Science and Technology (2024)
Closed Access
Liang Yin, Jing Wang
Journal of X-Ray Science and Technology (2024)
Closed Access
Deep learning radiomics nomograms predict Isocitrate dehydrogenase (IDH) genotypes in brain glioma: A multicenter study
Darui Li, Wanjun Hu, Laiyang Ma, et al.
Magnetic Resonance Imaging (2024), pp. 110314-110314
Closed Access
Darui Li, Wanjun Hu, Laiyang Ma, et al.
Magnetic Resonance Imaging (2024), pp. 110314-110314
Closed Access
Quantitative Physiologic MRI Combined with Feature Engineering for Developing Machine Learning-Based Prediction Models to Distinguish Glioblastomas from Single Brain Metastases
Seyyed Ali Hosseini, Stijn Servaes, Brandon Hall, et al.
Diagnostics (2024) Vol. 15, Iss. 1, pp. 38-38
Open Access
Seyyed Ali Hosseini, Stijn Servaes, Brandon Hall, et al.
Diagnostics (2024) Vol. 15, Iss. 1, pp. 38-38
Open Access
Deep neural network for the determination of transformed foci in Bhas 42 cell transformation assay
Minami Masumoto, Ittetsu Fukuda, Suguru Furihata, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 4
Minami Masumoto, Ittetsu Fukuda, Suguru Furihata, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 4
Commentary: Radiomics in oncology: A 10-year bibliometric analysis
Guoxin Fan, Jiaqi Qin, Huaqing Liu, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 2
Guoxin Fan, Jiaqi Qin, Huaqing Liu, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 2
Clinical Significance and Molecular Annotation of Cellular Morphometric Subtypes in Lower Grade Gliomas discovered by Machine Learning: a retrospective multicentric study
Xiaoping Liu, Xiaoqing Jin, Saman Ahmadian, et al.
Research Square (Research Square) (2021)
Open Access | Times Cited: 2
Xiaoping Liu, Xiaoqing Jin, Saman Ahmadian, et al.
Research Square (Research Square) (2021)
Open Access | Times Cited: 2
MR-guided non-invasive typing of brain gliomas using machine learning
Gleb Danilov, Igor Pronin, V V Korolev, et al.
Burdenko s Journal of Neurosurgery (2022) Vol. 86, Iss. 6, pp. 36-36
Closed Access | Times Cited: 1
Gleb Danilov, Igor Pronin, V V Korolev, et al.
Burdenko s Journal of Neurosurgery (2022) Vol. 86, Iss. 6, pp. 36-36
Closed Access | Times Cited: 1
Clinical Significance and Molecular Annotation of Cellular Morphometric Subtypes in Lower Grade Gliomas discovered by Machine Learning: a retrospective multicentric study
Xiaoping Liu, Xiaoqing Jin, Saman Ahmadian, et al.
Research Square (Research Square) (2021)
Open Access | Times Cited: 1
Xiaoping Liu, Xiaoqing Jin, Saman Ahmadian, et al.
Research Square (Research Square) (2021)
Open Access | Times Cited: 1
Artificial Intelligence in the Management of Glial Tumors
Gleb Danilov, Michael Shifrin, Timur Ishankulov, et al.
(2023), pp. 423-435
Closed Access
Gleb Danilov, Michael Shifrin, Timur Ishankulov, et al.
(2023), pp. 423-435
Closed Access
