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Heliyon|February 2, 2024
Development and validation of a CT-based deep learning radiomics nomogram to predict muscle invasion in bladder cancerZongjie Wei, Huayun Liu, Yingjie Xv, 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.
Frontiers in Oncology|January 27, 2025
A stacking ensemble system for identifying the presence of histological variants in bladder carcinoma: a multicenter studyCanjie Peng, Quanhao He, Fajin Lv, 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|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)|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.
NPJ Precision Oncology|April 14, 2026
Development and validation of a multimodal AI-agent system for prognosis analysis of bladder urothelial carcinomaQuanhao He, Hao Tan, Bangxin Xiao, et al.
NPJ Digital Medicine|December 26, 2025
Prior knowledge-guided multimodal deep learning system for biomarker exploration and prognosis prediction of urothelial carcinomaQuanhao He, Hao Tan, Bangxin Xiao, et al.
Eclinicalmedicine|April 15, 2024
An artificial intelligence model for detecting pathological lymph node metastasis in prostate cancer using whole slide images: a retrospective, multicentre, diagnostic studyShaoxu Wu, Yun Wang, Guibin Hong, et al.
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