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Medicine|November 8, 2025
Development and validation of a machine learning model to predict stroke risk based on the NHANES databaseJunzhang Huang, Wencai LiuContrast Media & Molecular Imaging|June 10, 2022
Value of CSF-Cl, CSF-GS, CSF-MALB, and CSF-ADA in Differential Diagnosis of Secondary HydrocephalusJunzhang Huang, Bing ChenMedicine|December 10, 2025
Machine learning-based prediction of acute kidney injury after intracerebral hemorrhage: Comparison of multiple model approachesJunzhang Huang, Ningkun XiaoMedicine|June 30, 2025
Deep learning for hydrocephalus prognosis: Advances, challenges, and future directions: A reviewJunzhang Huang, Ning Shen, Yuexiang Tan, et al.Diabetes Research and Clinical Practice|February 4, 2023
Metabolic dysfunction-associated fatty liver disease can significantly increase the risk of chronic kidney disease in adults with type 2 diabetesSuosu Wei, Jian Song, Yujie Xie, et al.JMIR Public Health and Surveillance|May 4, 2023
The Role of Metabolic Dysfunction-Associated Fatty Liver Disease in Developing Chronic Kidney Disease: Longitudinal Cohort StudySuosu Wei, Jian Song, Yujie Xie, et al.IEEE Transactions on Medical Imaging|February 22, 2024
Pathological Priors Inspired Network for Vertebral Osteophytes RecognitionJunzhang Huang, Xiongfeng Zhu, Ziyang Chen, et al.International Journal of Cardiology|September 10, 2013
Endothelial microparticles exert differential effects on functions of Th1 in patients with acute coronary syndromeYongguang Lu, Lang Li, Hua Yan, et al.Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|October 29, 2022
PCAN: Pixel-wise classification and attention network for thoracic disease classification and weakly supervised localizationXiongfeng Zhu, Shumao Pang, Xiaoxuan Zhang, et al.Pageof 8