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:
Combining radiomics and deep learning features of intra-tumoral and peri-tumoral regions for the classification of breast cancer lung metastasis and primary lung cancer with low-dose CT
Lei Li, Xinglu Zhou, Wenju Cui, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 17, pp. 15469-15478
Closed Access | Times Cited: 9
Lei Li, Xinglu Zhou, Wenju Cui, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 17, pp. 15469-15478
Closed Access | Times Cited: 9
Showing 9 citing articles:
Deep learning approaches to detect breast cancer: a comprehensive review
Amir Mohammad Sharafaddini, Kiana Kouhpah Esfahani, N. Mansouri
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 10
Amir Mohammad Sharafaddini, Kiana Kouhpah Esfahani, N. Mansouri
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 10
Intratumoral and peritumoral radiomics using multi-phase contrast-enhanced CT for diagnosis of renal oncocytoma and chromophobe renal cell carcinoma: a multicenter retrospective study
Yongsong Ye, Bin-Qi Weng, Yan Guo, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access | Times Cited: 1
Yongsong Ye, Bin-Qi Weng, Yan Guo, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access | Times Cited: 1
Hybrid Approach to Classifying Histological Subtypes of Non-small Cell Lung Cancer (NSCLC): Combining Radiomics and Deep Learning Features from CT Images
Geon Oh, Yongha Gi, Jeongshim Lee, et al.
Deleted Journal (2025)
Closed Access | Times Cited: 1
Geon Oh, Yongha Gi, Jeongshim Lee, et al.
Deleted Journal (2025)
Closed Access | Times Cited: 1
Integrating intratumoral and peritumoral radiomics with deep transfer learning for DCE-MRI breast lesion differentiation: A multicenter study comparing performance with radiologists
Tao Yu, Renqiang Yu, Mengqi Liu, et al.
European Journal of Radiology (2024) Vol. 177, pp. 111556-111556
Closed Access | Times Cited: 2
Tao Yu, Renqiang Yu, Mengqi Liu, et al.
European Journal of Radiology (2024) Vol. 177, pp. 111556-111556
Closed Access | Times Cited: 2
Value of CT-Based Deep Learning Model in Differentiating Benign and Malignant Solid Pulmonary Nodules ≤ 8 mm
Yuan Li, Xingtao Huang, Yi-Bo Feng, et al.
Academic Radiology (2024) Vol. 31, Iss. 12, pp. 5250-5260
Closed Access | Times Cited: 1
Yuan Li, Xingtao Huang, Yi-Bo Feng, et al.
Academic Radiology (2024) Vol. 31, Iss. 12, pp. 5250-5260
Closed Access | Times Cited: 1
Peri- and intra-nodular radiomic features based on 18F-FDG PET/CT to distinguish lung adenocarcinomas from pulmonary granulomas
Congna Tian, Yujing Hu, Shuheng Li, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access
Congna Tian, Yujing Hu, Shuheng Li, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access
Value of 18 F-FDG PET/CT-based radiomics features for differentiating primary lung cancer and solitary lung metastasis in patients with colorectal adenocarcinoma
Na Wang, Meng Dai, Fenglian Jing, et al.
International Journal of Radiation Biology (2024), pp. 1-9
Closed Access
Na Wang, Meng Dai, Fenglian Jing, et al.
International Journal of Radiation Biology (2024), pp. 1-9
Closed Access
Predicting solitary pulmonary lesions in breast cancer patients using 18Fluorodeoxyglucose-positron emission tomography/computed tomography
Yangyang Xue, Weishu Hou, Yanhui He, et al.
Research Square (Research Square) (2024)
Open Access
Yangyang Xue, Weishu Hou, Yanhui He, et al.
Research Square (Research Square) (2024)
Open Access
Predicting solitary pulmonary lesions in breast cancer patients using 18fluorodeoxyglucose-positron emission tomography/computed tomography combined with clinicopathological characteristics
Yangyang Xue, Weishu Hou, Yanhui He, et al.
BMC Pulmonary Medicine (2024) Vol. 24, Iss. 1
Open Access
Yangyang Xue, Weishu Hou, Yanhui He, et al.
BMC Pulmonary Medicine (2024) Vol. 24, Iss. 1
Open Access
