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Yuandi Zhuang

Showing results (1-10 of 16) with videos related to

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Nature Communications|July 14, 2021
Astral hydrogels mimic tissue mechanics by aster-aster interpenetrationQingqiao Xie, Yuandi Zhuang, Gaojun Ye, et al.
Japanese Journal of Radiology|September 5, 2020
Dynamic changes on chest CT of COVID-19 patients with solitary pulmonary lesion in initial CTYuandi Zhuang, Liaoyi Lin, Xunhua Xu, et al.
European Journal of Radiology|November 5, 2020
Risk Factors for The Growth of Residual Nodule in Surgical Patients with Adenocarcinoma Presenting as Multifocal Ground-glass NodulesTianyi Xia, Mengting Cai, Yuandi Zhuang, et al.
World Journal of Urology|March 18, 2023
Status of <sup>18</sup>F-PSMA-1007-PET/CT compared with multiparametric MRI in preoperative evaluation of prostate cancerYufan Tang, Xiaowei Ji, Qi Lin, et al.
Academic Radiology|January 17, 2026
Generalizable Deep Learning for Prostate Cancer Risk Stratification: Multicenter Study Integrating <sup>18</sup>F-PSMA-1007 PET/CT and mpMRICunke Miao, Houzhang Sun, Fei Yao, et al.
European Journal of Radiology|April 9, 2021
Arc concave sign on thin-section computed tomography:A novel predictor for invasive pulmonary adenocarcinoma in pure ground-glass nodulesGangze Fu, Huibo Yu, Jinjin Liu, et al.
The British Journal of Radiology|February 2, 2024
Multimodal radiomics based on 18F-Prostate-specific membrane antigen-1007 PET/CT and multiparametric MRI for prostate cancer extracapsular extension predictionKehua Pan, Fei Yao, Weifeng Hong, et al.
Prostate Cancer and Prostatic Diseases|December 8, 2025
Deep learning algorithm assisting diagnosis of prostate cancer extracapsular extension based on [<sup>18</sup>F]PSMA-1007 PET/CT and multiparametric MRI: A multicenter studyFei Yao, Dongqin Zhu, Heng Lin, et al.
European Journal of Nuclear Medicine and Molecular Imaging|May 8, 2025
The predictive value of multiparametric MRI combined with [<sup>18</sup>F]PSMA-1007 PET/CT for the pathological upgrade in prostate cancer: a multicenter studyJian Xu, Haisong Chen, Lixuan Chen, et al.
European Journal of Nuclear Medicine and Molecular Imaging|February 19, 2025
Prediction of adverse pathology in prostate cancer using a multimodal deep learning approach based on [<sup>18</sup>F]PSMA-1007 PET/CT and multiparametric MRIHeng Lin, Fei Yao, Xinwen Yi, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Nature Communications|July 14, 2021
Astral hydrogels mimic tissue mechanics by aster-aster interpenetrationQingqiao Xie, Yuandi Zhuang, Gaojun Ye, et al.
Japanese Journal of Radiology|September 5, 2020
Dynamic changes on chest CT of COVID-19 patients with solitary pulmonary lesion in initial CTYuandi Zhuang, Liaoyi Lin, Xunhua Xu, et al.
European Journal of Radiology|November 5, 2020
Risk Factors for The Growth of Residual Nodule in Surgical Patients with Adenocarcinoma Presenting as Multifocal Ground-glass NodulesTianyi Xia, Mengting Cai, Yuandi Zhuang, et al.
World Journal of Urology|March 18, 2023
Status of <sup>18</sup>F-PSMA-1007-PET/CT compared with multiparametric MRI in preoperative evaluation of prostate cancerYufan Tang, Xiaowei Ji, Qi Lin, et al.
Academic Radiology|January 17, 2026
Generalizable Deep Learning for Prostate Cancer Risk Stratification: Multicenter Study Integrating <sup>18</sup>F-PSMA-1007 PET/CT and mpMRICunke Miao, Houzhang Sun, Fei Yao, et al.
European Journal of Radiology|April 9, 2021
Arc concave sign on thin-section computed tomography:A novel predictor for invasive pulmonary adenocarcinoma in pure ground-glass nodulesGangze Fu, Huibo Yu, Jinjin Liu, et al.
The British Journal of Radiology|February 2, 2024
Multimodal radiomics based on 18F-Prostate-specific membrane antigen-1007 PET/CT and multiparametric MRI for prostate cancer extracapsular extension predictionKehua Pan, Fei Yao, Weifeng Hong, et al.
Prostate Cancer and Prostatic Diseases|December 8, 2025
Deep learning algorithm assisting diagnosis of prostate cancer extracapsular extension based on [<sup>18</sup>F]PSMA-1007 PET/CT and multiparametric MRI: A multicenter studyFei Yao, Dongqin Zhu, Heng Lin, et al.
European Journal of Nuclear Medicine and Molecular Imaging|May 8, 2025
The predictive value of multiparametric MRI combined with [<sup>18</sup>F]PSMA-1007 PET/CT for the pathological upgrade in prostate cancer: a multicenter studyJian Xu, Haisong Chen, Lixuan Chen, et al.
European Journal of Nuclear Medicine and Molecular Imaging|February 19, 2025
Prediction of adverse pathology in prostate cancer using a multimodal deep learning approach based on [<sup>18</sup>F]PSMA-1007 PET/CT and multiparametric MRIHeng Lin, Fei Yao, Xinwen Yi, et al.
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