
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:
A deep learning model integrating multisequence MRI to predict EGFR mutation subtype in brain metastases from non-small cell lung cancer
Ye Li, Xinna Lv, Cancan Chen, et al.
European Radiology Experimental (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 6
Ye Li, Xinna Lv, Cancan Chen, et al.
European Radiology Experimental (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 6
Showing 6 citing articles:
Diagnostic accuracy of MRI-based radiomic features for EGFR mutation status in non-small cell lung cancer patients with brain metastases: a meta-analysis
Yu-qin Long, Rong Zhao, Xianfeng Du
Frontiers in Oncology (2025) Vol. 14
Open Access
Yu-qin Long, Rong Zhao, Xianfeng Du
Frontiers in Oncology (2025) Vol. 14
Open Access
Reproducibility of methodological radiomics score (METRICS): an intra- and inter-rater reliability study endorsed by EuSoMII
Tugba Akinci D’Antonoli, Armando Ugo Cavallo, Burak Koçak, et al.
European Radiology (2025)
Open Access
Tugba Akinci D’Antonoli, Armando Ugo Cavallo, Burak Koçak, et al.
European Radiology (2025)
Open Access
Deep learning radiomics for the prediction of epidermal growth factor receptor mutation status based on MRI in brain metastasis from lung adenocarcinoma patients
Pingdong Cao, Xiao Jia, Xi Wang, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
Pingdong Cao, Xiao Jia, Xi Wang, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
Machine learning in prediction of epidermal growth factor receptor status in non-small cell lung cancer brain metastases: a systematic review and meta-analysis
Bardia Hajikarimloo, Ibrahim Mohammadzadeh, Salem M. Tos, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
Bardia Hajikarimloo, Ibrahim Mohammadzadeh, Salem M. Tos, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
2.5D deep learning based on multi-parameter MRI to differentiate primary lung cancer pathological subtypes in patients with brain metastases
Jinling Zhu, Li Zou, Xin Xie, et al.
European Journal of Radiology (2024) Vol. 180, pp. 111712-111712
Closed Access | Times Cited: 2
Jinling Zhu, Li Zou, Xin Xie, et al.
European Journal of Radiology (2024) Vol. 180, pp. 111712-111712
Closed Access | Times Cited: 2
Metastatic brain tumors: from development to cutting‐edge treatment
Guilong Tanzhu, Liu Chen, Jiaoyang Ning, et al.
MedComm (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 1
Guilong Tanzhu, Liu Chen, Jiaoyang Ning, et al.
MedComm (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 1
Deep Learning–Based Super-Resolution Reconstruction on Undersampled Brain Diffusion-Weighted MRI for Infarction Stroke: A Comparison to Conventional Iterative Reconstruction
Shuo Zhang, M. Zhong, Hanxu Shenliu, et al.
American Journal of Neuroradiology (2024) Vol. 46, Iss. 1, pp. 41-48
Closed Access | Times Cited: 1
Shuo Zhang, M. Zhong, Hanxu Shenliu, et al.
American Journal of Neuroradiology (2024) Vol. 46, Iss. 1, pp. 41-48
Closed Access | Times Cited: 1