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

Chengcheng Chen

Showing results (51-60 of 54) with videos related to

Pageof 6
Sort By:
You have reached the last page of results.This site can display upto 54 results.
European Journal of Radiology|August 10, 2023
A preoperative CT-based deep learning radiomics model in predicting the stage, size, grade and necrosis score and outcome in localized clear cell renal cell carcinoma: A multicenter studyPei Nie, Shihe Liu, Ruizhi Zhou, et al.
European Radiology|June 30, 2023
A CT-based deep learning radiomics nomogram outperforms the existing prognostic models for outcome prediction in clear cell renal cell carcinoma: a multicenter studyPei Nie, Guangjie Yang, Yanmei Wang, et al.
Insights Into Imaging|May 9, 2025
The interpretable CT-based vision transformer model for preoperative prediction of clear cell renal cell carcinoma SSIGN score and outcomeKaiyue Zhi, Yanmei Wang, Lei Yan, et al.
European Journal of Nuclear Medicine and Molecular Imaging|March 28, 2022
The radiomics-based tumor heterogeneity adds incremental value to the existing prognostic models for predicting outcome in localized clear cell renal cell carcinoma: a multicenter studyGuangjie Yang, Pei Nie, Lei Yan, et al.
Pageof 6

Showing results (51-60 of 54) with videos related to

Sort By:
Pageof 6
You have reached the last page of results.This site can display upto 54 results.
European Journal of Radiology|August 10, 2023
A preoperative CT-based deep learning radiomics model in predicting the stage, size, grade and necrosis score and outcome in localized clear cell renal cell carcinoma: A multicenter studyPei Nie, Shihe Liu, Ruizhi Zhou, et al.
European Radiology|June 30, 2023
A CT-based deep learning radiomics nomogram outperforms the existing prognostic models for outcome prediction in clear cell renal cell carcinoma: a multicenter studyPei Nie, Guangjie Yang, Yanmei Wang, et al.
Insights Into Imaging|May 9, 2025
The interpretable CT-based vision transformer model for preoperative prediction of clear cell renal cell carcinoma SSIGN score and outcomeKaiyue Zhi, Yanmei Wang, Lei Yan, et al.
European Journal of Nuclear Medicine and Molecular Imaging|March 28, 2022
The radiomics-based tumor heterogeneity adds incremental value to the existing prognostic models for predicting outcome in localized clear cell renal cell carcinoma: a multicenter studyGuangjie Yang, Pei Nie, Lei Yan, et al.
Pageof 6