Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Fu-Sheng Ouyang

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Abdominal Radiology (New York)|June 22, 2017
CT and MRI findings in focal eosinophilic infiltration of the liverBao-Liang Guo, Qiu-Gen Hu, Fu-Sheng Ouyang, et al.
Oncotarget|November 2, 2017
Exploration and validation of radiomics signature as an independent prognostic biomarker in stage III-IVb nasopharyngeal carcinomaFu-Sheng Ouyang, Bao-Liang Guo, Bin Zhang, et al.
Oncotarget|November 2, 2017
Development of a preprocedure nomogram for predicting contrast-induced acute kidney injury after coronary angiography or percutaneous coronary interventionBao-Liang Guo, Fu-Sheng Ouyang, Shao-Ming Yang, et al.
European Journal of Radiology|April 1, 2019
Comparison between linear and nonlinear machine-learning algorithms for the classification of thyroid nodulesFu-Sheng Ouyang, Bao-Liang Guo, Li-Zhu Ouyang, et al.
European Radiology|September 14, 2018
Development and validation of an ultrasound-based nomogram to improve the diagnostic accuracy for malignant thyroid nodulesBao-Liang Guo, Fu-Sheng Ouyang, Li-Zhu Ouyang, et al.
European Journal of Radiology|January 3, 2019
A nomogram for individual prediction of vascular invasion in primary breast cancerFu-Sheng Ouyang, Bao-Liang Guo, Xi-Yi Huang, et al.
Quantitative Imaging in Medicine and Surgery|July 11, 2026
Value of the DeepSeek-R1 large language model in extracting structured data from magnetic resonance imaging reports of rectal cancer and assisting in tumor stagingFan Xie, Li-Zhu Ouyang, Bao-Liang Guo, et al.
Scientific Reports|July 16, 2017
Machine Learning Algorithms for Risk Prediction of Severe Hand-Foot-Mouth Disease in ChildrenBin Zhang, Xiang Wan, Fu-Sheng Ouyang, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Abdominal Radiology (New York)|June 22, 2017
CT and MRI findings in focal eosinophilic infiltration of the liverBao-Liang Guo, Qiu-Gen Hu, Fu-Sheng Ouyang, et al.
Oncotarget|November 2, 2017
Exploration and validation of radiomics signature as an independent prognostic biomarker in stage III-IVb nasopharyngeal carcinomaFu-Sheng Ouyang, Bao-Liang Guo, Bin Zhang, et al.
Oncotarget|November 2, 2017
Development of a preprocedure nomogram for predicting contrast-induced acute kidney injury after coronary angiography or percutaneous coronary interventionBao-Liang Guo, Fu-Sheng Ouyang, Shao-Ming Yang, et al.
European Journal of Radiology|April 1, 2019
Comparison between linear and nonlinear machine-learning algorithms for the classification of thyroid nodulesFu-Sheng Ouyang, Bao-Liang Guo, Li-Zhu Ouyang, et al.
European Radiology|September 14, 2018
Development and validation of an ultrasound-based nomogram to improve the diagnostic accuracy for malignant thyroid nodulesBao-Liang Guo, Fu-Sheng Ouyang, Li-Zhu Ouyang, et al.
European Journal of Radiology|January 3, 2019
A nomogram for individual prediction of vascular invasion in primary breast cancerFu-Sheng Ouyang, Bao-Liang Guo, Xi-Yi Huang, et al.
Quantitative Imaging in Medicine and Surgery|July 11, 2026
Value of the DeepSeek-R1 large language model in extracting structured data from magnetic resonance imaging reports of rectal cancer and assisting in tumor stagingFan Xie, Li-Zhu Ouyang, Bao-Liang Guo, et al.
Scientific Reports|July 16, 2017
Machine Learning Algorithms for Risk Prediction of Severe Hand-Foot-Mouth Disease in ChildrenBin Zhang, Xiang Wan, Fu-Sheng Ouyang, et al.
Pageof 1