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BMC Medical Imaging|June 28, 2026
Association of AI-assisted quantitative coronary plaque burden and CT-derived fractional flow reserve with major adverse cardiovascular eventsXinwei Zhang, Mengyuan Bao, Yongshun Wu, et al.Translational Neuroscience|December 18, 2020
Video-based education improves the image quality of diagnostic percutaneous cerebral angiography among elderly patientsWenbing Wang, Yongshun Wu, Jianpeng Yuan, et al.Journal of Computer Assisted Tomography|August 6, 2025
A Clinical and Imaging-based Model for Distinguishing Mild From Moderately Severe/Severe Hypertriglyceridemic Acute Pancreatitis: Development and ValidationYixiu Hao, Jiajun Feng, Wenjuan He, et al.Journal of Alzheimer'S Disease : JAD|October 17, 2022
Perivascular Space Predicts Brain Hypometabolism of Individuals with Underlying Amyloid PathologyXiaolei Shi, Nan Zhou, Bin Sun, et al.European Journal of Radiology Open|June 19, 2026
Classifying diagnostic pitfalls in juxtapleural CT lesions: A root causeKunquan Lai, Xinhuan Huang, Huan Lai, et al.Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology|April 28, 2020
Cerebrospinal fluid MFG-E8 as a promising biomarker of amyotrophic lateral sclerosisBiying Yang, Yongshun Wu, Yihao Wang, et al.Nature Communications|November 15, 2023
Topotactically transformable antiphase boundaries with enhanced ionic conductivityKun Xu, Shih-Wei Hung, Wenlong Si, et al.Nature Communications|July 7, 2023
Artificially controlled nanoscale chemical reduction in VO<sub>2</sub> through electron beam illuminationYang Zhang, Yupu Wang, Yongshun Wu, et al.Academic Radiology|February 18, 2025
Computed Tomography Radiomics-based Combined Model for Predicting Thymoma Risk Subgroups: A Multicenter Retrospective StudyYifei Liu, Chao Luo, Yongshun Wu, et al.Medical Physics|July 16, 2025
Risk classification of thymoma based on multi-feature fusion in dynamic enhanced CTXiayan Peng, Yifei Liu, Xiaodong He, et al.Pageof 2