
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:
Deep Learning Model for Intracranial Hemangiopericytoma and Meningioma Classification
Ziyan Chen, Ningrong Ye, Nian Jiang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 14
Ziyan Chen, Ningrong Ye, Nian Jiang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 14
Showing 14 citing articles:
A novel rotation and scale-invariant deep learning framework leveraging conical transformers for precise differentiation between meningioma and solitary fibrous tumor
Mohamed T. Azam, Hossam Magdy Balaha, Akshitkumar M. Mistry, et al.
Journal of Pathology Informatics (2025) Vol. 17, pp. 100422-100422
Open Access
Mohamed T. Azam, Hossam Magdy Balaha, Akshitkumar M. Mistry, et al.
Journal of Pathology Informatics (2025) Vol. 17, pp. 100422-100422
Open Access
Apparent Diffusion Coefficient (ADC) and Magnetic Resonance Imaging (MRI) Nomogram for Differentiating a Solitary Fibrous Tumor (World Health Organization Grade II) From an Angiomatous Meningioma
Yu Ying, Noorazrul Yahya, Hanani Abdul Manan
Cureus (2025)
Open Access
Yu Ying, Noorazrul Yahya, Hanani Abdul Manan
Cureus (2025)
Open Access
Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study
Yuan Gui, Wei Hu, Jialiang Ren, et al.
Cancer Imaging (2025) Vol. 25, Iss. 1
Open Access
Yuan Gui, Wei Hu, Jialiang Ren, et al.
Cancer Imaging (2025) Vol. 25, Iss. 1
Open Access
Solitary Fibrous Tumor of the Central Nervous System: A Report of Two Cases with Emphasis on Diagnostic Pitfalls
Absalom Mwazha, Nondabula Moyeni, Zuzile Zikalala, et al.
Case Reports in Pathology (2024) Vol. 2024, pp. 1-8
Open Access | Times Cited: 2
Absalom Mwazha, Nondabula Moyeni, Zuzile Zikalala, et al.
Case Reports in Pathology (2024) Vol. 2024, pp. 1-8
Open Access | Times Cited: 2
Solitary fibrous tumor of the central nervous system invading and penetrating the skull: A case report
Qiyan Lin, Jiabin Zhu, Xiaofeng Zhang
Oncology Letters (2023) Vol. 25, Iss. 2
Open Access | Times Cited: 5
Qiyan Lin, Jiabin Zhu, Xiaofeng Zhang
Oncology Letters (2023) Vol. 25, Iss. 2
Open Access | Times Cited: 5
A Novel Vit-Based Multi-Scaled and Rotation-Invariance Approach for Precise Differentiation Between Meningioma and Solitary Fibrous Tumor
Mohamed T. Azam, Hossam Magdy Balaha, Khadiga M. Ali, et al.
(2024), pp. 1-4
Closed Access | Times Cited: 1
Mohamed T. Azam, Hossam Magdy Balaha, Khadiga M. Ali, et al.
(2024), pp. 1-4
Closed Access | Times Cited: 1
The role of tumor parenchyma and brain cortex signal intensity ratio in differentiating solitary fibrous tumors and meningiomas
Yue Yu, Gu Fang, Yilin Luo, et al.
Discover Oncology (2024) Vol. 15, Iss. 1
Open Access
Yue Yu, Gu Fang, Yilin Luo, et al.
Discover Oncology (2024) Vol. 15, Iss. 1
Open Access
Cystic intracranial solitary fibrous tumor: a case report
Yongzhe Li, Dongxue Li, Li Yang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Yongzhe Li, Dongxue Li, Li Yang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Unveiling Thymoma Typing Through Hyperspectral Imaging and Deep Learning
Qize Lv, Ke Liang, Chongxuan Tian, et al.
Journal of Biophotonics (2024) Vol. 17, Iss. 11
Open Access
Qize Lv, Ke Liang, Chongxuan Tian, et al.
Journal of Biophotonics (2024) Vol. 17, Iss. 11
Open Access
Deep learning radiomic nomogram outperforms the clinical model in distinguishing intracranial solitary fibrous tumors from angiomatous meningiomas and can predict patient prognosis
Xiaohong Liang, Xiaoai Ke, Wanjun Hu, et al.
European Radiology (2024)
Closed Access
Xiaohong Liang, Xiaoai Ke, Wanjun Hu, et al.
European Radiology (2024)
Closed Access
Histopathological Diagnosis of Meningioma and Solitary Fibrous Tumors Based on a Multi-scale Fusion Approach Utilizing Vision Transformer and Texture Analysis
Mohamed T. Azam, Hossam Magdy Balaha, Dibson Gondim, et al.
Lecture notes in computer science (2024), pp. 31-45
Closed Access
Mohamed T. Azam, Hossam Magdy Balaha, Dibson Gondim, et al.
Lecture notes in computer science (2024), pp. 31-45
Closed Access
Radiomics and machine learning for predicting the consistency of benign tumors of the central nervous system: A systematic review
Carole Koechli, Daniel R. Zwahlen, Philippe Schucht, et al.
European Journal of Radiology (2023) Vol. 164, pp. 110866-110866
Closed Access | Times Cited: 1
Carole Koechli, Daniel R. Zwahlen, Philippe Schucht, et al.
European Journal of Radiology (2023) Vol. 164, pp. 110866-110866
Closed Access | Times Cited: 1
Editorial: Advances of radiomics and artificial intelligence in the management of patients with central nervous system tumors
Ziyan Chen, Helen Zhang, Paul J. Z. Zhang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access
Ziyan Chen, Helen Zhang, Paul J. Z. Zhang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access
Differentiating Intracranial Solitary Fibrous Tumors from Atypical Meningiomas Using Conventional MRI: A Comparison of Radiomics Models Versus Assessment from Radiologists, and Exploration of Correlation with Collagen Volume Fraction.
Hua Zhang, Xiaoling Li, Zhen Xing, et al.
Research Square (Research Square) (2023)
Open Access
Hua Zhang, Xiaoling Li, Zhen Xing, et al.
Research Square (Research Square) (2023)
Open Access