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World Neurosurgery|October 17, 2016
Tumor Location and Survival Outcomes in Adult Patients with Supratentorial Glioblastoma by Levels of Toll-Like Receptor 9 ExpressionLinsen Mu, Yongzhi Wang, Yonggang Wang, et al.Frontiers in Oncology|November 5, 2021
Corrigendum: Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and GlioblastomaZenghui Qian, Lingling Zhang, Jie Hu, et al.Journal of Bone Oncology|February 3, 2026
Clinicopathological features and survival disparities between axial and appendicular skeletal Angiosarcoma: A SEER-based analysis using competing risk modelsZhenliang Hao, Xuewei Zhang, Ning Yao, et al.Frontiers in Oncology|September 7, 2021
Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and GlioblastomaZenghui Qian, Lingling Zhang, Jie Hu, et al.Journal of Imaging Informatics in Medicine|May 15, 2024
Concomitant Prediction of the Ki67 and PIT-1 Expression in Pituitary Adenoma Using Different Radiomics ModelsFangzheng Liu, Yuying Zang, Limei Feng, et al.Journal of Neuro-Oncology|May 16, 2014
Identifying the survival subtypes of glioblastoma by quantitative volumetric analysis of MRIZhe Zhang, Haihui Jiang, Xuzhu Chen, et al.Journal of Neurosurgery|January 24, 2025
Development and validation of a radiomics-visual evoked potential nomogram for preoperative prediction of visual outcome after endoscopic craniopharyngioma resectionNing Qiao, Chuzhong Li, Fei Zheng, et al.Journal of Neuro-Oncology|February 29, 2024
The diagnostic efficiency of integration of 2HG MRS and IVIM versus individual parameters for predicting IDH mutation status in gliomas in clinical scenarios: A retrospective studyMeimei Yu, Ying Ge, Zixuan Wang, et al.British Journal of Cancer|July 30, 2025
Predictive efficacy and role of 2HG in MGMT promoter methylation in gliomas: a retrospective study based on MRS and mediator variable analysisYing Ge, Meimei Yu, Tianjing Chang, et al.Frontiers in Oncology|September 7, 2021
Deep Learning With Data Enhancement for the Differentiation of Solitary and Multiple Cerebral Glioblastoma, Lymphoma, and Tumefactive Demyelinating LesionYu Zhang, Kewei Liang, Jiaqi He, et al.Pageof 5