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:
Impact of harmonization and oversampling methods on radiomics analysis of multi-center imbalanced datasets: Application to PET-based prediction of lung cancer subtypes
Dongyang Du, Isaac Shiri, Fereshteh Yousefirizi, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 6
Dongyang Du, Isaac Shiri, Fereshteh Yousefirizi, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 6
Showing 6 citing articles:
PET radiomics for histologic subtype classification of non-small cell lung cancer: a systematic review and meta-analysis
Jucheng Zhang, Xiaohui Zhang, Yan Zhong, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Closed Access
Jucheng Zhang, Xiaohui Zhang, Yan Zhong, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Closed Access
Machine learning-based analysis of 68Ga-PSMA-11 PET/CT images for estimation of prostate tumor grade
Maziar Khateri, Farshid Babapour Mofrad, Parham Geramifar, et al.
Physical and Engineering Sciences in Medicine (2024) Vol. 47, Iss. 2, pp. 741-753
Closed Access | Times Cited: 3
Maziar Khateri, Farshid Babapour Mofrad, Parham Geramifar, et al.
Physical and Engineering Sciences in Medicine (2024) Vol. 47, Iss. 2, pp. 741-753
Closed Access | Times Cited: 3
Dual-Centre Harmonised Multimodal Positron Emission Tomography/Computed Tomography Image Radiomic Features and Machine Learning Algorithms for Non-small Cell Lung Cancer Histopathological Subtype Phenotype Decoding
Z. Khodabakhshi, Mehdi Amini, Ghasem Hajianfar, et al.
Clinical Oncology (2023) Vol. 35, Iss. 11, pp. 713-725
Open Access | Times Cited: 6
Z. Khodabakhshi, Mehdi Amini, Ghasem Hajianfar, et al.
Clinical Oncology (2023) Vol. 35, Iss. 11, pp. 713-725
Open Access | Times Cited: 6
Cardiac SPECT Radiomic Features Reproducibility: Patient study
Maziar Sabouri, Ghasem Hajianfar, Mobin Mohebi, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-4
Closed Access | Times Cited: 1
Maziar Sabouri, Ghasem Hajianfar, Mobin Mohebi, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-4
Closed Access | Times Cited: 1
Breast Tumor Genes Subtype Profiling Using MR Image Radiomic Features and Machine Learning Algorithms
Aazadeh Akhavanallaf, Marziyeh Hoseininezhad, Milad Moradi, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access
Aazadeh Akhavanallaf, Marziyeh Hoseininezhad, Milad Moradi, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access
Progression-Free Survival Prediction in Head and Neck Cancer using Fused PET-CT Radiomics and Machine Learning
Atlas Haddadi Avval, Mehdi Amini, Ghasem Hajianfar, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access
Atlas Haddadi Avval, Mehdi Amini, Ghasem Hajianfar, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access
