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Frontiers in Oncology|April 15, 2025
MRI-based deep transfer learning models for predicting progesterone receptor expression in meningiomaSong Gao, Li Zhao, Nan Li, et al.Scientific Reports|May 13, 2025
An MRI-based deep transfer learning radiomics nomogram for predicting meningioma gradeNan Li, Xuejun Liu, Xiaona Xia, et al.Frontiers in Oncology|April 10, 2023
Performance comparison of 2D and 3D MRI radiomics features in meningioma grade prediction: A preliminary studyChongfeng Duan, Nan Li, Xuejun Liu, et al.World Neurosurgery|March 5, 2019
Differentiation Researches on the Meningioma Subtypes by Radiomics from Contrast-Enhanced Magnetic Resonance Imaging: A Preliminary StudyLei Niu, Xiaoming Zhou, Chongfeng Duan, et al.La Radiologia Medica|May 11, 2025
The "purfling sign": a new imaging marker for the diagnosis of primary CNS lymphomaLei Niu, Jiping Zhao, Chongfeng Duan, et al.Journal of Imaging Informatics in Medicine|February 12, 2024
An MRI-Based Deep Transfer Learning Radiomics Nomogram to Predict Ki-67 Proliferation Index of MeningiomaChongfeng Duan, Dapeng Hao, Jiufa Cui, et al.The British Journal of Radiology|July 11, 2022
A radiomics nomogram for predicting the meningioma grade based on enhanced T1WI imagesChongfeng Duan, Xiaoming Zhou, Jiachen Wang, et al.Frontiers in Oncology|October 3, 2024
Preoperative MRI-based radiomic nomogram for distinguishing solitary fibrous tumor from angiomatous meningioma: a multicenter studyMengjie Li, Shengli Fu, Jingjing Du, et al.Brain and Behavior|August 1, 2021
A cohort study of mild encephalitis/encephalopathy with a reversible splenial lesion in childrenJiao Xue, Ying Zhang, Jie Kang, et al.Abdominal Radiology (New York)|May 24, 2020
CT texture analysis for the differentiation of papillary renal cell carcinoma subtypesChongfeng Duan, Nan Li, Lei Niu, et al.Pageof 2