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European Radiology|June 30, 2023
A CT-based deep learning radiomics nomogram outperforms the existing prognostic models for outcome prediction in clear cell renal cell carcinoma: a multicenter studyPei Nie, Guangjie Yang, Yanmei Wang, et al.European Journal of Nuclear Medicine and Molecular Imaging|May 27, 2020
Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinomaPei Nie, Guangjie Yang, Ning Wang, et al.Chinese Medical Journal|April 21, 2023
Development and validation of a CT-based radiomics model for differentiating pneumonia-like primary pulmonary lymphoma from infectious pneumonia: A multicenter studyXinxin Yu, Bing Kang, Pei Nie, et al.Radiology|July 28, 2026
Radiograph-based Deep Learning Algorithm for Assisting Bone Tumor Risk Assessment: A Multicenter StudyChunlin Song, Jingxu Xu, Tianzi Jiang, et al.European Journal of Nuclear Medicine and Molecular Imaging|March 28, 2022
The radiomics-based tumor heterogeneity adds incremental value to the existing prognostic models for predicting outcome in localized clear cell renal cell carcinoma: a multicenter studyGuangjie Yang, Pei Nie, Lei Yan, et al.Pageof 9