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Clinical Imaging|April 26, 2011
Superficial siderosis of the central nervous system: MR findings with susceptibility-weighted imagingJin Wang, Xiangyang Gong
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|March 13, 2008
Proton magnetic resonance spectroscopy detects a relative decrease of N-acetylaspartate in the hippocampus of patients with dementia with Lewy bodiesXiaqing Xuan, Meiping Ding, Xiangyang Gong
Therapeutics and Clinical Risk Management|March 18, 2024
Longitudinal Study on Pre- and Post-Operation CT Imaging for Predicting Pedicle Screw Loosening in Patients with Lumbar Degenerative DiseaseQian Zhang, Fanfan Zhao, Yu Zhang, et al.
Chinese Medical Journal|June 4, 2014
Rapid resolution of subdural hematoma after targeted epidural blood patch treatment in patients with spontaneous intracranial hypotensionJin Wang, Dan Zhang, Xiangyang Gong, et al.
Surgical and Radiologic Anatomy : SRA|April 28, 2010
Evaluation of the anatomy and variants of internal cerebral veins with phase-sensitive MR imagingJin Wang, Jiawei Wang, Jianzhong Sun, et al.
BMC Medical Imaging|October 12, 2021
Developing a model for estimating infarction onset time based on computed tomography radiomics in patients with acute middle cerebral artery occlusionXuehua Wen, Zhenyu Shu, Yumei Li, et al.
Sensors (Basel, Switzerland)|July 18, 2019
SASRT: Semantic-Aware Super-Resolution Transmission for Adaptive Video Streaming over Wireless Multimedia Sensor NetworksJia Guo, Xiangyang Gong, Wendong Wang, et al.
BMC Medical Imaging|February 14, 2026
An interpretable machine learning model for preoperative prediction of aldosterone secretion and CYP11B2 status of adrenal glandSixian Zhou, Zhicheng Liu, Wenli Fang, et al.
BMC Musculoskeletal Disorders|July 8, 2019
Patellar instability: the reliability of magnetic resonance imaging measurement parametersQin Ye, Taihen Yu, Yinbo Wu, et al.
European Radiology|February 23, 2020
Radiomics from magnetic resonance imaging may be used to predict the progression of white matter hyperintensities and identify associated risk factorsZhenyu Shu, Yuyun Xu, Yuan Shao, et al.
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