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:
Predicting Histologic Grade of Meningiomas Using a Combined Model of Radiomic and Clinical Imaging Features from Preoperative MRI
Jae Young Park, Le Thanh Quang, Woong Yoon, et al.
Biomedicines (2023) Vol. 11, Iss. 12, pp. 3268-3268
Open Access | Times Cited: 9
Jae Young Park, Le Thanh Quang, Woong Yoon, et al.
Biomedicines (2023) Vol. 11, Iss. 12, pp. 3268-3268
Open Access | Times Cited: 9
Showing 9 citing articles:
Performance of Radiomics-based machine learning and deep learning-based methods in the prediction of tumor grade in meningioma: a systematic review and meta-analysis
Roozbeh Tavanaei, Mohammadhosein Akhlaghpasand, Alireza Alikhani, et al.
Neurosurgical Review (2025) Vol. 48, Iss. 1
Closed Access | Times Cited: 1
Roozbeh Tavanaei, Mohammadhosein Akhlaghpasand, Alireza Alikhani, et al.
Neurosurgical Review (2025) Vol. 48, Iss. 1
Closed Access | Times Cited: 1
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
A Radiomic Model for Gliomas Grade and Patient Survival Prediction
Ahmad Chaddad, Pingyue Jia, Yan Hu, et al.
Bioengineering (2025) Vol. 12, Iss. 5, pp. 450-450
Open Access
Ahmad Chaddad, Pingyue Jia, Yan Hu, et al.
Bioengineering (2025) Vol. 12, Iss. 5, pp. 450-450
Open Access
Prediction of Histological Grade of Oral Squamous Cell Carcinoma Using Machine Learning Models Applied to 18F-FDG-PET Radiomics
Yutaka Nikkuni, Hideyoshi Nishiyama, Takafumi Hayashi
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1411-1411
Open Access | Times Cited: 1
Yutaka Nikkuni, Hideyoshi Nishiyama, Takafumi Hayashi
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1411-1411
Open Access | Times Cited: 1
Comparison of Normalization Techniques for Radiomics Features From Magnetic Resonance Imaging in Predicting Histologic Grade of Meningiomas
Le Thanh Quang, Byung Hyun Baek, Woong Yoon, et al.
Investigative Magnetic Resonance Imaging (2024) Vol. 28, Iss. 2, pp. 61-61
Open Access
Le Thanh Quang, Byung Hyun Baek, Woong Yoon, et al.
Investigative Magnetic Resonance Imaging (2024) Vol. 28, Iss. 2, pp. 61-61
Open Access
Development and Validation of a Machine Learning Radiomics Model based on Multiparametric MRI for Predicting Progesterone Receptor Expression in Meningioma: A Multicenter Study
Guihan Lin, Weiyue Chen, Yongjun Chen, et al.
Academic Radiology (2024)
Closed Access
Guihan Lin, Weiyue Chen, Yongjun Chen, et al.
Academic Radiology (2024)
Closed Access
Radiomics in Meningiomas: Pathological and Biomolecular Correlation
Lorenzo Ugga, Teresa Perillo, Serena Capasso, et al.
(2024), pp. 121-130
Closed Access
Lorenzo Ugga, Teresa Perillo, Serena Capasso, et al.
(2024), pp. 121-130
Closed 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
A large scale multi institutional study for radiomics driven machine learning for meningioma grading
Mert Karabacak, Shiv Patil, Rui Feng, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Mert Karabacak, Shiv Patil, Rui Feng, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
