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

Bangxin Xiao

Showing results (1-10 of 12) with videos related to

Pageof 2
Sort By:
Frontiers in Immunology|May 8, 2026
Machine learning-based integration of systemic immune-inflammation and nutritional signatures for predicting disease-free survival in upper tract urothelial carcinoma: a multicenter studyXiang Peng, Bangxin Xiao, Zhanpeng Yuan, et al.
Frontiers in Oncology|April 1, 2026
Development and validation of an online predictive model for biochemical recurrence after radical prostatectomy in elderly patientsJie Liu, Hao Tan, Yang Lv, et al.
Frontiers in Oncology|July 8, 2026
Radiomics-based interpretable machine learning model from multiphasic CT imaging for predicting pathological grade in upper tract urothelial carcinoma: a multicenter studyZhanpeng Yuan, Yuhua Mei, Xiang Peng, et al.
NPJ Precision Oncology|October 16, 2024
Integrated multicenter deep learning system for prognostic prediction in bladder cancerQuanhao He, Bangxin Xiao, Yiwen Tan, et al.
Academic Radiology|January 9, 2025
Interpretable CT Radiomics-based Machine Learning Model for Preoperative Prediction of Ki-67 Expression in Clear Cell Renal Cell CarcinomaYingjie Xv, Bangxin Xiao, Zongjie Wei, et al.
BMC Medical Imaging|December 30, 2025
An interpretable machine learning model based on CT imaging for predicting lymphovascular invasion and survival in bladder urothelial carcinoma: a multicenter studyBangxin Xiao, Qiyuan Zeng, Xiang Peng, et al.
Insights Into Imaging|June 24, 2026
A perioperative multi-modal fusion and deep learning-based prognostic system for upper tract urothelial carcinoma: a multi-institutional studyXiang Peng, Yang Li, Wei Shi, et al.
International Journal of Surgery (London, England)|October 7, 2025
Deep learning for prognostic stratification and biomarker exploration in upper tract urothelial carcinoma: a multicenter retrospective cohort studyXiang Peng, Hao Tan, Bangxin Xiao, et al.
Insights Into Imaging|May 18, 2025
Deep learning feature-based model for predicting lymphovascular invasion in urothelial carcinoma of bladder using CT imagesBangxin Xiao, Yang Lv, Canjie Peng, et al.
International Journal of Surgery (London, England)|June 19, 2024
Three-dimensional deep learning model complements existing models for preoperative disease-free survival prediction in localized clear cell renal cell carcinoma: a multicenter retrospective cohort studyYingjie Xv, Zongjie Wei, Qing Jiang, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Frontiers in Immunology|May 8, 2026
Machine learning-based integration of systemic immune-inflammation and nutritional signatures for predicting disease-free survival in upper tract urothelial carcinoma: a multicenter studyXiang Peng, Bangxin Xiao, Zhanpeng Yuan, et al.
Frontiers in Oncology|April 1, 2026
Development and validation of an online predictive model for biochemical recurrence after radical prostatectomy in elderly patientsJie Liu, Hao Tan, Yang Lv, et al.
Frontiers in Oncology|July 8, 2026
Radiomics-based interpretable machine learning model from multiphasic CT imaging for predicting pathological grade in upper tract urothelial carcinoma: a multicenter studyZhanpeng Yuan, Yuhua Mei, Xiang Peng, et al.
NPJ Precision Oncology|October 16, 2024
Integrated multicenter deep learning system for prognostic prediction in bladder cancerQuanhao He, Bangxin Xiao, Yiwen Tan, et al.
Academic Radiology|January 9, 2025
Interpretable CT Radiomics-based Machine Learning Model for Preoperative Prediction of Ki-67 Expression in Clear Cell Renal Cell CarcinomaYingjie Xv, Bangxin Xiao, Zongjie Wei, et al.
BMC Medical Imaging|December 30, 2025
An interpretable machine learning model based on CT imaging for predicting lymphovascular invasion and survival in bladder urothelial carcinoma: a multicenter studyBangxin Xiao, Qiyuan Zeng, Xiang Peng, et al.
Insights Into Imaging|June 24, 2026
A perioperative multi-modal fusion and deep learning-based prognostic system for upper tract urothelial carcinoma: a multi-institutional studyXiang Peng, Yang Li, Wei Shi, et al.
International Journal of Surgery (London, England)|October 7, 2025
Deep learning for prognostic stratification and biomarker exploration in upper tract urothelial carcinoma: a multicenter retrospective cohort studyXiang Peng, Hao Tan, Bangxin Xiao, et al.
Insights Into Imaging|May 18, 2025
Deep learning feature-based model for predicting lymphovascular invasion in urothelial carcinoma of bladder using CT imagesBangxin Xiao, Yang Lv, Canjie Peng, et al.
International Journal of Surgery (London, England)|June 19, 2024
Three-dimensional deep learning model complements existing models for preoperative disease-free survival prediction in localized clear cell renal cell carcinoma: a multicenter retrospective cohort studyYingjie Xv, Zongjie Wei, Qing Jiang, et al.
Pageof 2