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Yunmei Shi

Showing results (1-10 of 30) with videos related to

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Journal of Personalized Medicine|March 29, 2023
Association Analysis of Maximum Standardized Uptake Values Based on <sup>18</sup>F-FDG PET/CT and EGFR Mutation Status in Lung AdenocarcinomaJianxiong Gao, Yunmei Shi, Rong Niu, et al.
EJNMMI Physics|November 2, 2021
Application of dual-stream 3D convolutional neural network based on <sup>18</sup>F-FDG PET/CT in distinguishing benign and invasive adenocarcinoma in ground-glass lung nodulesXiaonan Shao, Rong Niu, Xiaoliang Shao, et al.
European Journal of Radiology|April 5, 2025
Radiomics-based histological grading of pancreatic ductal adenocarcinoma using <sup>18</sup>F-FDG PET/CT: A two-center studyYang Xu, Yunmei Shi, Tao Jiang, et al.
Frontiers in Oncology|December 14, 2023
New research progress on 18F-FDG PET/CT radiomics for EGFR mutation prediction in lung adenocarcinoma: a reviewXinyu Ge, Jianxiong Gao, Rong Niu, et al.
Journal of Affective Disorders|November 25, 2023
The impact of fear of childbirth on mode of delivery, postpartum mental health and breastfeeding: A prospective cohort study in Shanghai, ChinaAnxin Yin, Yunmei Shi, Seppo Heinonen, et al.
EJNMMI Research|April 4, 2023
The predictive value of [<sup>18</sup>F]FDG PET/CT radiomics combined with clinical features for EGFR mutation status in different clinical staging of lung adenocarcinomaJianxiong Gao, Rong Niu, Yunmei Shi, et al.
Frontiers in Oncology|November 25, 2024
PET/CT radiomics and deep learning in the diagnosis of benign and malignant pulmonary nodules: progress and challengesYan Sun, Xinyu Ge, Rong Niu, et al.
Insights Into Imaging|January 3, 2025
Application and progress of non-invasive imaging in predicting lung invasive non-mucinous adenocarcinoma under the new IASLC grading guidelinesJinbao Feng, Xiaonan Shao, Jianxiong Gao, et al.
Quantitative Imaging in Medicine and Surgery|March 14, 2023
Detecting obstructive coronary artery disease with machine learning: rest-only gated single photon emission computed tomography myocardial perfusion imaging combined with coronary artery calcium score and cardiovascular risk factorsBao Liu, Wenji Yu, Feifei Zhang, et al.
BMC Cardiovascular Disorders|January 11, 2023
The value of regional and global CACS combined with SPECT MPI in detecting obstructive CAD: a retrospective real-world comparative studyQi Jiang, Bao Liu, Le Yang, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

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Pageof 3
Journal of Personalized Medicine|March 29, 2023
Association Analysis of Maximum Standardized Uptake Values Based on <sup>18</sup>F-FDG PET/CT and EGFR Mutation Status in Lung AdenocarcinomaJianxiong Gao, Yunmei Shi, Rong Niu, et al.
EJNMMI Physics|November 2, 2021
Application of dual-stream 3D convolutional neural network based on <sup>18</sup>F-FDG PET/CT in distinguishing benign and invasive adenocarcinoma in ground-glass lung nodulesXiaonan Shao, Rong Niu, Xiaoliang Shao, et al.
European Journal of Radiology|April 5, 2025
Radiomics-based histological grading of pancreatic ductal adenocarcinoma using <sup>18</sup>F-FDG PET/CT: A two-center studyYang Xu, Yunmei Shi, Tao Jiang, et al.
Frontiers in Oncology|December 14, 2023
New research progress on 18F-FDG PET/CT radiomics for EGFR mutation prediction in lung adenocarcinoma: a reviewXinyu Ge, Jianxiong Gao, Rong Niu, et al.
Journal of Affective Disorders|November 25, 2023
The impact of fear of childbirth on mode of delivery, postpartum mental health and breastfeeding: A prospective cohort study in Shanghai, ChinaAnxin Yin, Yunmei Shi, Seppo Heinonen, et al.
EJNMMI Research|April 4, 2023
The predictive value of [<sup>18</sup>F]FDG PET/CT radiomics combined with clinical features for EGFR mutation status in different clinical staging of lung adenocarcinomaJianxiong Gao, Rong Niu, Yunmei Shi, et al.
Frontiers in Oncology|November 25, 2024
PET/CT radiomics and deep learning in the diagnosis of benign and malignant pulmonary nodules: progress and challengesYan Sun, Xinyu Ge, Rong Niu, et al.
Insights Into Imaging|January 3, 2025
Application and progress of non-invasive imaging in predicting lung invasive non-mucinous adenocarcinoma under the new IASLC grading guidelinesJinbao Feng, Xiaonan Shao, Jianxiong Gao, et al.
Quantitative Imaging in Medicine and Surgery|March 14, 2023
Detecting obstructive coronary artery disease with machine learning: rest-only gated single photon emission computed tomography myocardial perfusion imaging combined with coronary artery calcium score and cardiovascular risk factorsBao Liu, Wenji Yu, Feifei Zhang, et al.
BMC Cardiovascular Disorders|January 11, 2023
The value of regional and global CACS combined with SPECT MPI in detecting obstructive CAD: a retrospective real-world comparative studyQi Jiang, Bao Liu, Le Yang, et al.
Pageof 3