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Cancer Imaging : the Official Publication of the International Cancer Imaging Society|January 15, 2020
Development and validation of a nomogram based on CT images and 3D texture analysis for preoperative prediction of the malignant potential in gastrointestinal stromal tumorsCaiyue Ren, Shengping Wang, Shengjian Zhang
Journal of Computer Assisted Tomography|January 21, 2021
Development and Validation of a Diagnostic Nomogram for the Preoperative Differentiation Between Follicular Thyroid Carcinoma and Follicular Thyroid AdenomasPengzhou Tang, Caiyue Ren, Lijuan Shen, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|December 14, 2020
Development and validation of a CT-texture analysis nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypesCaiyue Ren, Mingli Li, Yunyan Zhang, et al.
European Journal of Medical Research|December 2, 2023
Clinico-biological-radiomics (CBR) based machine learning for improving the diagnostic accuracy of FDG-PET false-positive lymph nodes in lung cancerCaiyue Ren, Fuquan Zhang, Jiangang Zhang, et al.
Cancers|May 27, 2026
Dedicated Breast PET-Based Deep Learning Radiomics for Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in HER2-Positive Breast CancerTianhao Zeng, Yilin He, Teng Zhang, et al.
Frontiers in Oncology|January 1, 2026
Early prediction of tumor response to carbon ion radiotherapy via <sup>18</sup>F-FMISO PET/CT in patients with locally advanced non-small-cell lung cancerCaiyue Ren, Jian Chen, Jingfang Mao, et al.
Cancers|February 25, 2022
Development of High-Resolution Dedicated PET-Based Radiomics Machine Learning Model to Predict Axillary Lymph Node Status in Early-Stage Breast CancerJingyi Cheng, Caiyue Ren, Guangyu Liu, et al.
Journal of Materials Chemistry. B|April 8, 2020
2D magnetic titanium carbide MXene for cancer theranosticsZhuang Liu, Menglong Zhao, Han Lin, et al.
Annals of Translational Medicine|January 9, 2023
Classification of solid pulmonary nodules using a machine-learning nomogram based on <sup>18</sup>F-FDG PET/CT radiomics integrated clinicobiological featuresCaiyue Ren, Mingxia Xu, Jiangang Zhang, et al.
Quantitative Imaging in Medicine and Surgery|May 9, 2024
Hypoxia predicts favorable response to carbon ion radiotherapy in non-small cell lung cancer (NSCLC) defined by <sup>18</sup>F-FMISO positron emission tomography/computed tomography (PET/CT) imagingMingyu Liu, Ningyi Ma, Caiyue Ren, et al.
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