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European Radiology|May 6, 2023
Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypesXiangmeng Chen, Bao Feng, Kuncai Xu, et al.European Journal of Radiology|May 7, 2020
Radiomics nomogram for preoperative differentiation of lung tuberculoma from adenocarcinoma in solitary pulmonary solid noduleBao Feng, Xiangmeng Chen, Yehang Chen, et al.Cancer Imaging : the Official Publication of the International Cancer Imaging Society|July 10, 2020
A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodulesXiangmeng Chen, Bao Feng, Yehang Chen, et al.Clinical Imaging|May 31, 2021
Early prediction of severity in coronavirus disease (COVID-19) using quantitative CT imagingKunwei Li, Xueguo Liu, Rowena Yip, et al.European Radiology|June 29, 2020
Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomasBao Feng, XiangMeng Chen, YeHang Chen, et al.Cancers|February 11, 2023
Identifying Solitary Granulomatous Nodules from Solid Lung Adenocarcinoma: Exploring Robust Image Features with Cross-Domain Transfer LearningBao Feng, Xiangmeng Chen, Yehang Chen, et al.Pageof 3