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:
Radiomic Features of the Edema Region May Contribute to Grading Meningiomas With Peritumoral Edema
Zhige Guo, Zhongyu Tian, Feina Shi, et al.
Journal of Magnetic Resonance Imaging (2022) Vol. 58, Iss. 1, pp. 301-310
Closed Access | Times Cited: 9
Zhige Guo, Zhongyu Tian, Feina Shi, et al.
Journal of Magnetic Resonance Imaging (2022) Vol. 58, Iss. 1, pp. 301-310
Closed Access | Times Cited: 9
Showing 9 citing articles:
Exploring a recurrence model for atypical meningioma based on multiparametric MRI radiomic and clinical characteristics: a multicenter retrospective cohort study
Dengpan Song, Qingjie Wei, Shengqi Zhao, et al.
Radiation Oncology (2025) Vol. 20, Iss. 1
Open Access
Dengpan Song, Qingjie Wei, Shengqi Zhao, et al.
Radiation Oncology (2025) Vol. 20, Iss. 1
Open Access
Intelligent meningioma grading based on medical features
Hua Bai, Jieyu Liu, Chen Wu, et al.
Medical Physics (2025)
Closed Access
Hua Bai, Jieyu Liu, Chen Wu, et al.
Medical Physics (2025)
Closed Access
Deep learning and radiomics-based approach to meningioma grading: exploring the potential value of peritumoral edema regions
Zhuo Zhang, Ying Miao, Jixuan Wu, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 10, pp. 105002-105002
Closed Access | Times Cited: 2
Zhuo Zhang, Ying Miao, Jixuan Wu, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 10, pp. 105002-105002
Closed Access | Times Cited: 2
Multi-parameter MRI radiomic features may contribute to predict progression-free survival in patients with WHO grade II meningiomas
Qiang Zeng, Zhongyu Tian, Fei Dong, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Qiang Zeng, Zhongyu Tian, Fei Dong, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Dual-Level Augmentation Radiomics Analysis for Multisequence MRI Meningioma Grading
Zongyou Cai, Lun M. Wong, Ye Heng Wong, et al.
Cancers (2023) Vol. 15, Iss. 22, pp. 5459-5459
Open Access | Times Cited: 2
Zongyou Cai, Lun M. Wong, Ye Heng Wong, et al.
Cancers (2023) Vol. 15, Iss. 22, pp. 5459-5459
Open Access | Times Cited: 2
Multi-parameter MRI radiomics model in predicting postoperative progressive cerebral edema and hemorrhage after resection of meningioma
Kangjian Hu, Guirong Tan, Xueqing Liao, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access
Kangjian Hu, Guirong Tan, Xueqing Liao, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access
MRI Radiomics in Distinguishing the Diagnostic Value of High-Grade and Low-Grade Meningiomas: A systematic review and a Meta-analysis
Simin Xiao, Siyuan Zeng, Yangbin Kou
Research Square (Research Square) (2024)
Open Access
Simin Xiao, Siyuan Zeng, Yangbin Kou
Research Square (Research Square) (2024)
Open Access
Primary Extradural Meningioma: A Systematic Review of Diagnostic Features, Clinical Management, and Surgical Outcomes
Kishore Balasubramanian, Jeffrey Zuccato, Abdurrahman F. Kharbat, et al.
Cancers (2024) Vol. 16, Iss. 23, pp. 3915-3915
Open Access
Kishore Balasubramanian, Jeffrey Zuccato, Abdurrahman F. Kharbat, et al.
Cancers (2024) Vol. 16, Iss. 23, pp. 3915-3915
Open Access
Editorial for “Radiomic Features of the Edema Region May Contribute to Grading Meningiomas With Peritumoral Edema”
Scott N. Hwang
Journal of Magnetic Resonance Imaging (2022) Vol. 58, Iss. 1, pp. 311-312
Closed Access | Times Cited: 1
Scott N. Hwang
Journal of Magnetic Resonance Imaging (2022) Vol. 58, Iss. 1, pp. 311-312
Closed Access | Times Cited: 1
