Yangguang Yuan
Shenzhen, China
Last Updated: 09/26/2026
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Found 8 publications
Development and Validation of an Interpretable Machine Learning Model for Predicting Adverse Clinical Outcomes in Placenta Accreta Spectrum: A Multicenter Study.
Journal: Academic radiology
Published: July 15, 2025
A comparative evaluation of large language models for simplifying prostate cancer pathology reports: ChatGPT and Gemini.
Journal: International journal of surgery (London, England)
Published: June 10, 2025
Machine learning-based multi-class classification of bladder pathologies using fused 3D CT radiomic and 3D auto-encoder deep features.
Journal: European journal of radiology open
Published: June 09, 2025
CT-based AI framework leveraging multi-scale features for predicting pathological grade and Ki67 index in clear cell renal cell carcinoma: a multicenter study.
Journal: Insights into imaging
Published: July 22, 2024
An automatic texture feature analysis framework of renal tumor: surgical, pathological, and molecular evaluation based on multi-phase abdominal CT.
Journal: European radiology
Published: April 19, 2023
An automated surgical decision-making framework for partial or radical nephrectomy based on 3D-CT multi-level anatomical features in renal cell carcinoma.
Journal: European radiology
Published: February 09, 2023
A quantitative analysis framework of placenta accreta spectrum: placenta subtype, intraoperative bleeding, and hysterectomy risk evaluation based on magnetic resonance imaging-anatomical-clinical features.
Journal: Quantitative imaging in medicine and surgery
Published: February 05, 2023
Showing 1-8 of 8
Last Updated: 09/26/2026