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Haoyang Zeng

Showing results (11-20 of 23) with videos related to

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Bioinformatics (Oxford, England)|March 11, 2021
Machine learning optimization of peptides for presentation by class II MHCsZheng Dai, Brooke D Huisman, Haoyang Zeng, et al.
Academic Radiology|March 29, 2025
Exploring the Incremental Value of Aorta Enhancement Normalization Method in Evaluating Renal Cell Carcinoma Histological Subtypes: A Multi-center Large Cohort StudyZexin Huang, Lei Wang, Hangru Mei, et al.
International Journal of Surgery (London, England)|February 3, 2026
A comparative evaluation of large language models for simplifying prostate cancer pathology reports: ChatGPT and GeminiHaoyang Zeng, Yangguang Yuan, Xiang Wu, et al.
Quantitative Imaging in Medicine and Surgery|October 23, 2023
A quantitative analysis framework of placenta accreta spectrum: placenta subtype, intraoperative bleeding, and hysterectomy risk evaluation based on magnetic resonance imaging-anatomical-clinical featuresHuancheng Yang, Xiang Wu, Weihao Liu, et al.
Academic Radiology|August 23, 2025
Development and Validation of an Interpretable Machine Learning Model for Predicting Adverse Clinical Outcomes in Placenta Accreta Spectrum: A Multicenter StudyHongliang Li, Yueyue Zhang, Hangru Mei, et al.
Bioinformatics (Oxford, England)|November 29, 2019
Antibody complementarity determining region design using high-capacity machine learningGe Liu, Haoyang Zeng, Jonas Mueller, et al.
European Radiology|June 8, 2023
An automated surgical decision-making framework for partial or radical nephrectomy based on 3D-CT multi-level anatomical features in renal cell carcinomaHuancheng Yang, Kai Wu, Hanlin Liu, et al.
International Journal of Surgery (London, England)|June 17, 2024
CT-based AI model for predicting therapeutic outcomes in ureteral stones after single extracorporeal shock wave lithotripsy through a cohort studyHuancheng Yang, Xiang Wu, Weihao Liu, et al.
Journal of Immunology (Baltimore, Md. : 1950)|November 12, 2020
NSUN5 Facilitates Viral RNA Recognition by RIG-I ReceptorBoyue Sun, Haoyang Zeng, Jiaqian Liang, et al.
Insights Into Imaging|May 14, 2025
CT-based AI framework leveraging multi-scale features for predicting pathological grade and Ki67 index in clear cell renal cell carcinoma: a multicenter studyHuancheng Yang, Yueyue Zhang, Fan Li, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
Bioinformatics (Oxford, England)|March 11, 2021
Machine learning optimization of peptides for presentation by class II MHCsZheng Dai, Brooke D Huisman, Haoyang Zeng, et al.
Academic Radiology|March 29, 2025
Exploring the Incremental Value of Aorta Enhancement Normalization Method in Evaluating Renal Cell Carcinoma Histological Subtypes: A Multi-center Large Cohort StudyZexin Huang, Lei Wang, Hangru Mei, et al.
International Journal of Surgery (London, England)|February 3, 2026
A comparative evaluation of large language models for simplifying prostate cancer pathology reports: ChatGPT and GeminiHaoyang Zeng, Yangguang Yuan, Xiang Wu, et al.
Quantitative Imaging in Medicine and Surgery|October 23, 2023
A quantitative analysis framework of placenta accreta spectrum: placenta subtype, intraoperative bleeding, and hysterectomy risk evaluation based on magnetic resonance imaging-anatomical-clinical featuresHuancheng Yang, Xiang Wu, Weihao Liu, et al.
Academic Radiology|August 23, 2025
Development and Validation of an Interpretable Machine Learning Model for Predicting Adverse Clinical Outcomes in Placenta Accreta Spectrum: A Multicenter StudyHongliang Li, Yueyue Zhang, Hangru Mei, et al.
Bioinformatics (Oxford, England)|November 29, 2019
Antibody complementarity determining region design using high-capacity machine learningGe Liu, Haoyang Zeng, Jonas Mueller, et al.
European Radiology|June 8, 2023
An automated surgical decision-making framework for partial or radical nephrectomy based on 3D-CT multi-level anatomical features in renal cell carcinomaHuancheng Yang, Kai Wu, Hanlin Liu, et al.
International Journal of Surgery (London, England)|June 17, 2024
CT-based AI model for predicting therapeutic outcomes in ureteral stones after single extracorporeal shock wave lithotripsy through a cohort studyHuancheng Yang, Xiang Wu, Weihao Liu, et al.
Journal of Immunology (Baltimore, Md. : 1950)|November 12, 2020
NSUN5 Facilitates Viral RNA Recognition by RIG-I ReceptorBoyue Sun, Haoyang Zeng, Jiaqian Liang, et al.
Insights Into Imaging|May 14, 2025
CT-based AI framework leveraging multi-scale features for predicting pathological grade and Ki67 index in clear cell renal cell carcinoma: a multicenter studyHuancheng Yang, Yueyue Zhang, Fan Li, et al.
Pageof 3