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Shaoli Song

Showing results (81-90 of 246) with videos related to

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BMC Cancer|February 9, 2026
Noninvasive preoperative risk stratification of prostate cancer via a foundational model based deep learning with PSMA PET/CTLinjie Bian, Fanxuan Liu, Xuan Huang, et al.
BMC Cancer|January 17, 2020
Establishment and validation of a nomogram with intratumoral heterogeneity derived from <sup>18</sup>F-FDG PET/CT for predicting individual conditional risk of 5-year recurrence before initial treatment of nasopharyngeal carcinomaBingxin Gu, Jianping Zhang, Guang Ma, et al.
Breast Cancer Research : BCR|August 26, 2022
Evaluation of tumour heterogeneity by <sup>18</sup>F-fluoroestradiol PET as a predictive measure in breast cancer patients receiving palbociclib combined with endocrine treatmentCheng Liu, Shihui Hu, Xiaoping Xu, et al.
Journal of Controlled Release : Official Journal of the Controlled Release Society|December 27, 2024
Iodine-131 radioembolization boosts the immune activation enhanced by icaritin/resiquimod in hepatocellular carcinomaXinyi Li, Yuyi Qian, Xin Lu, et al.
Nuclear Medicine Communications|January 22, 2025
The role of 18 F-FDG PET/CT in detecting recurrence and metastasis in posttreatment nasopharyngeal carcinoma patients with elevated Epstein-Barr virus DNAShuting Su, Ge Wang, Xiuhuan Ye, et al.
EJNMMI Physics|January 9, 2024
Investigation of PET image quality with acquisition time/bed and enhancement of lesion quantification accuracy through deep progressive learningHongxing Yang, Shihao Chen, Ming Qi, et al.
NPJ Precision Oncology|October 14, 2024
Adaptive segmentation-to-survival learning for survival prediction from multi-modality medical imagesMingyuan Meng, Bingxin Gu, Michael Fulham, et al.
Radiology. Imaging Cancer|February 20, 2026
Prospective Head-to-Head Comparison of <sup>18</sup>F-FDG and <sup>68</sup>Ga-FAPI PET/CT in De Novo and Recurrent Epstein-Barr Virus-associated Nasopharyngeal CarcinomaBingxin Gu, Shuyi Lin, Liyan Bai, et al.
European Journal of Nuclear Medicine and Molecular Imaging|August 18, 2023
Multi-task deep learning-based radiomic nomogram for prognostic prediction in locoregionally advanced nasopharyngeal carcinomaBingxin Gu, Mingyuan Meng, Mingzhen Xu, et al.
Computer Methods and Programs in Biomedicine|March 21, 2021
Recurrent feature fusion learning for multi-modality pet-ct tumor segmentationLei Bi, Michael Fulham, Nan Li, et al.
Pageof 25

Showing results (81-90 of 246) with videos related to

Sort By:
Pageof 25
BMC Cancer|February 9, 2026
Noninvasive preoperative risk stratification of prostate cancer via a foundational model based deep learning with PSMA PET/CTLinjie Bian, Fanxuan Liu, Xuan Huang, et al.
BMC Cancer|January 17, 2020
Establishment and validation of a nomogram with intratumoral heterogeneity derived from <sup>18</sup>F-FDG PET/CT for predicting individual conditional risk of 5-year recurrence before initial treatment of nasopharyngeal carcinomaBingxin Gu, Jianping Zhang, Guang Ma, et al.
Breast Cancer Research : BCR|August 26, 2022
Evaluation of tumour heterogeneity by <sup>18</sup>F-fluoroestradiol PET as a predictive measure in breast cancer patients receiving palbociclib combined with endocrine treatmentCheng Liu, Shihui Hu, Xiaoping Xu, et al.
Journal of Controlled Release : Official Journal of the Controlled Release Society|December 27, 2024
Iodine-131 radioembolization boosts the immune activation enhanced by icaritin/resiquimod in hepatocellular carcinomaXinyi Li, Yuyi Qian, Xin Lu, et al.
Nuclear Medicine Communications|January 22, 2025
The role of 18 F-FDG PET/CT in detecting recurrence and metastasis in posttreatment nasopharyngeal carcinoma patients with elevated Epstein-Barr virus DNAShuting Su, Ge Wang, Xiuhuan Ye, et al.
EJNMMI Physics|January 9, 2024
Investigation of PET image quality with acquisition time/bed and enhancement of lesion quantification accuracy through deep progressive learningHongxing Yang, Shihao Chen, Ming Qi, et al.
NPJ Precision Oncology|October 14, 2024
Adaptive segmentation-to-survival learning for survival prediction from multi-modality medical imagesMingyuan Meng, Bingxin Gu, Michael Fulham, et al.
Radiology. Imaging Cancer|February 20, 2026
Prospective Head-to-Head Comparison of <sup>18</sup>F-FDG and <sup>68</sup>Ga-FAPI PET/CT in De Novo and Recurrent Epstein-Barr Virus-associated Nasopharyngeal CarcinomaBingxin Gu, Shuyi Lin, Liyan Bai, et al.
European Journal of Nuclear Medicine and Molecular Imaging|August 18, 2023
Multi-task deep learning-based radiomic nomogram for prognostic prediction in locoregionally advanced nasopharyngeal carcinomaBingxin Gu, Mingyuan Meng, Mingzhen Xu, et al.
Computer Methods and Programs in Biomedicine|March 21, 2021
Recurrent feature fusion learning for multi-modality pet-ct tumor segmentationLei Bi, Michael Fulham, Nan Li, et al.
Pageof 25