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Shaoli Song

Showing results (111-120 of 247) with videos related to

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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.
European Journal of Nuclear Medicine and Molecular Imaging|March 18, 2026
The diagnostic value of [<sup>18</sup>F]F-NOTA-FAPI PET/CT in suspected recurrent ovarian cancer with CA125 dynamic increase level but negative conventional imaging findingsShuai Liu, Zheng Feng, Yangjun Wu, et al.
European Journal of Nuclear Medicine and Molecular Imaging|September 23, 2025
Preclinical and first-in-human evaluation of novel androgen receptor-targeted PET imaging in prostate cancerShuyi Lin, Xiangwei Wang, Fangning Wan, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|September 11, 2020
The feasibility of <sup>18</sup>F-FDG PET/CT for predicting pathologic risk status in early-stage uterine cervical squamous cancerShuai Liu, Lingfang Xia, Ziyi Yang, et al.
Frontiers in Oncology|August 9, 2021
Quantitative Prediction of Microsatellite Instability in Colorectal Cancer With Preoperative PET/CT-Based RadiomicsJiaru Li, Ziyi Yang, Bowen Xin, et al.
European Journal of Nuclear Medicine and Molecular Imaging|February 3, 2021
Correction to: Machine learning based on clinico-biological features integrated 18F-FDG PET/CT radiomics for distinguishing squamous cell carcinoma from adenocarcinoma of lungCaiyue Ren, Jianping Zhang, Ming Qi, et al.
Journal of Medicinal Chemistry|April 10, 2026
Development and Preclinical Evaluation of a Novel 68Ga/177Lu-Labeled Nanobody for Radiotheranostics of HER2-Positive TumorsLingzhou Zhao, Liyan Bai, Li Sun, et al.
European Journal of Nuclear Medicine and Molecular Imaging|May 16, 2026
[<sup>18</sup>F]F-FAPI PET/CT is superior to [<sup>18</sup>F]F-FDG PET/CT for lymph node staging in lung cancer: a pathologically validated studyJinjin Jiang, Bin Li, Jingfang Mao, et al.
Computer Methods and Programs in Biomedicine|May 18, 2024
A transformer-guided cross-modality adaptive feature fusion framework for esophageal gross tumor volume segmentationYaoting Yue, Nan Li, Gaobo Zhang, et al.
European Journal of Nuclear Medicine and Molecular Imaging|October 15, 2020
Machine learning based on clinico-biological features integrated <sup>18</sup>F-FDG PET/CT radiomics for distinguishing squamous cell carcinoma from adenocarcinoma of lungCaiyue Ren, Jianping Zhang, Ming Qi, et al.
Pageof 25

Showing results (111-120 of 247) with videos related to

Sort By:
Pageof 25
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.
European Journal of Nuclear Medicine and Molecular Imaging|March 18, 2026
The diagnostic value of [<sup>18</sup>F]F-NOTA-FAPI PET/CT in suspected recurrent ovarian cancer with CA125 dynamic increase level but negative conventional imaging findingsShuai Liu, Zheng Feng, Yangjun Wu, et al.
European Journal of Nuclear Medicine and Molecular Imaging|September 23, 2025
Preclinical and first-in-human evaluation of novel androgen receptor-targeted PET imaging in prostate cancerShuyi Lin, Xiangwei Wang, Fangning Wan, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|September 11, 2020
The feasibility of <sup>18</sup>F-FDG PET/CT for predicting pathologic risk status in early-stage uterine cervical squamous cancerShuai Liu, Lingfang Xia, Ziyi Yang, et al.
Frontiers in Oncology|August 9, 2021
Quantitative Prediction of Microsatellite Instability in Colorectal Cancer With Preoperative PET/CT-Based RadiomicsJiaru Li, Ziyi Yang, Bowen Xin, et al.
European Journal of Nuclear Medicine and Molecular Imaging|February 3, 2021
Correction to: Machine learning based on clinico-biological features integrated 18F-FDG PET/CT radiomics for distinguishing squamous cell carcinoma from adenocarcinoma of lungCaiyue Ren, Jianping Zhang, Ming Qi, et al.
Journal of Medicinal Chemistry|April 10, 2026
Development and Preclinical Evaluation of a Novel 68Ga/177Lu-Labeled Nanobody for Radiotheranostics of HER2-Positive TumorsLingzhou Zhao, Liyan Bai, Li Sun, et al.
European Journal of Nuclear Medicine and Molecular Imaging|May 16, 2026
[<sup>18</sup>F]F-FAPI PET/CT is superior to [<sup>18</sup>F]F-FDG PET/CT for lymph node staging in lung cancer: a pathologically validated studyJinjin Jiang, Bin Li, Jingfang Mao, et al.
Computer Methods and Programs in Biomedicine|May 18, 2024
A transformer-guided cross-modality adaptive feature fusion framework for esophageal gross tumor volume segmentationYaoting Yue, Nan Li, Gaobo Zhang, et al.
European Journal of Nuclear Medicine and Molecular Imaging|October 15, 2020
Machine learning based on clinico-biological features integrated <sup>18</sup>F-FDG PET/CT radiomics for distinguishing squamous cell carcinoma from adenocarcinoma of lungCaiyue Ren, Jianping Zhang, Ming Qi, et al.
Pageof 25