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Guibin Hong

Showing results (1-10 of 11) with videos related to

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The Lancet. Oncology|June 3, 2023
Artificial intelligence-based model for lymph node metastases detection in bladder cancer - Authors' replyShaoxu Wu, Guibin Hong, Tianxin Lin
Journal of Translational Medicine|January 23, 2023
An artificial intelligence model for the pathological diagnosis of invasion depth and histologic grade in bladder cancerJiexin Pan, Guibin Hong, Hong Zeng, et al.
Bladder (San Francisco, Calif.)|September 23, 2024
A narrative review of advances in the management of urothelial cancer: Diagnostics and treatmentsShaoxu Wu, Shengwei Xiong, Juan Li, et al.
Biomedicines|June 26, 2025
Immune System Alterations in the Development of Three Urological Cancers: Insights from Large-Sample Mendelian RandomizationZhijian Chen, Ye Xie, Xiong Chen, et al.
Fundamental Research|February 6, 2026
Unsupervised and supervised machine learning to identify variability of tumor-educated platelets and association with pan-cancer: A cross-national studyXiong Chen, Runnan Shen, Lin Lv, et al.
Eclinicalmedicine|March 17, 2025
Deep learning-based model for prediction of early recurrence and therapy response on whole slide images in non-muscle-invasive bladder cancer: a retrospective, multicentre studyFan Jiang, Guibin Hong, Hong Zeng, et al.
The Lancet. Oncology|March 9, 2023
Artificial intelligence-based model for lymph node metastases detection on whole slide images in bladder cancer: a retrospective, multicentre, diagnostic studyShaoxu Wu, Guibin Hong, Abai Xu, et al.
Eclinicalmedicine|April 30, 2024
Development and validation of an artificial intelligence-based model for detecting urothelial carcinoma using urine cytology images: a multicentre, diagnostic study with prospective validationShaoxu Wu, Runnan Shen, Guibin Hong, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|July 25, 2025
Artificial Intelligence-Assisted Urine Cytology for Noninvasive Detection of Muscle-Invasive Urothelial Carcinoma: A Multi-Center Diagnostic Study with Prospective ValidationRunnan Shen, Fan Jiang, Xiaowei Huang, 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.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
The Lancet. Oncology|June 3, 2023
Artificial intelligence-based model for lymph node metastases detection in bladder cancer - Authors' replyShaoxu Wu, Guibin Hong, Tianxin Lin
Journal of Translational Medicine|January 23, 2023
An artificial intelligence model for the pathological diagnosis of invasion depth and histologic grade in bladder cancerJiexin Pan, Guibin Hong, Hong Zeng, et al.
Bladder (San Francisco, Calif.)|September 23, 2024
A narrative review of advances in the management of urothelial cancer: Diagnostics and treatmentsShaoxu Wu, Shengwei Xiong, Juan Li, et al.
Biomedicines|June 26, 2025
Immune System Alterations in the Development of Three Urological Cancers: Insights from Large-Sample Mendelian RandomizationZhijian Chen, Ye Xie, Xiong Chen, et al.
Fundamental Research|February 6, 2026
Unsupervised and supervised machine learning to identify variability of tumor-educated platelets and association with pan-cancer: A cross-national studyXiong Chen, Runnan Shen, Lin Lv, et al.
Eclinicalmedicine|March 17, 2025
Deep learning-based model for prediction of early recurrence and therapy response on whole slide images in non-muscle-invasive bladder cancer: a retrospective, multicentre studyFan Jiang, Guibin Hong, Hong Zeng, et al.
The Lancet. Oncology|March 9, 2023
Artificial intelligence-based model for lymph node metastases detection on whole slide images in bladder cancer: a retrospective, multicentre, diagnostic studyShaoxu Wu, Guibin Hong, Abai Xu, et al.
Eclinicalmedicine|April 30, 2024
Development and validation of an artificial intelligence-based model for detecting urothelial carcinoma using urine cytology images: a multicentre, diagnostic study with prospective validationShaoxu Wu, Runnan Shen, Guibin Hong, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|July 25, 2025
Artificial Intelligence-Assisted Urine Cytology for Noninvasive Detection of Muscle-Invasive Urothelial Carcinoma: A Multi-Center Diagnostic Study with Prospective ValidationRunnan Shen, Fan Jiang, Xiaowei Huang, 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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