Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yuchao Xiong"'
Autor:
Wuyan Xu, Xiaowen Liu, Li Wu, Shaohua Liang, Ye Zhang, Junbing Huang, Xuwen Zeng, Siming Li, Fan Xu, Yuchao Xiong
Publikováno v:
Orthopaedic Surgery, Vol 16, Iss 3, Pp 585-593 (2024)
Objectives Osteoporotic vertebral fractures (OVFs) are a critical public health concern requiring urgent attention, and severe OVFs impose substantial health and economic burdens on patients and society. Analysis of the risk factors for severe OVF is
Externí odkaz:
https://doaj.org/article/4fc8968cf8d244d987741ff2edde4642
Autor:
Fan Xu, Yuchao Xiong, Guoxi Ye, Yingying Liang, Wei Guo, Qiuping Deng, Li Wu, Wuyi Jia, Dilang Wu, Song Chen, Zhiping Liang, Xuwen Zeng
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
ObjectiveTo develop and validate an artificial intelligence diagnostic system based on X-ray imaging data for diagnosing vertebral compression fractures (VCFs)MethodsIn total, 1904 patients who underwent X-ray at four independent hospitals were retro
Externí odkaz:
https://doaj.org/article/46389ba02ac747c78f4570d0650ef8ee
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
ObjectivesTo assess the diagnostic accuracy of diffusion-weighted imaging (DWI) in predicting the malignant potential in patients with intraductal papillary mucinous neoplasms (IPMNs) of the pancreas.MethodsA systematic search of articles investigati
Externí odkaz:
https://doaj.org/article/499d94a9efc642238da323b841429deb
Autor:
Yuchao Xiong, Wei Guo, Zhiping Liang, Li Wu, Guoxi Ye, Ying-ying Liang, Chao Wen, Feng Yang, Song Chen, Xu-wen Zeng, Fan Xu
Publikováno v:
European Radiology.
Objective To develop and validate a deep learning (DL) model based on CT for differentiating bone islands and osteoblastic bone metastases. Materials and methods The patients with sclerosing bone lesions (SBLs) were retrospectively included in three
Publikováno v:
Proceedings of the 6th International Conference on Education Reform and Modern Management (ERMM 2021).
Publikováno v:
Construction and Building Materials. 289:123054
Sasobit® can be used not only as a warm mix additive in asphalt mixtures but also to further modify highly viscous polymer-modified asphalt (PMA) to achieve viscosity reduction, energy consumption reduction, and environmentally friendly engineering
Publikováno v:
Construction and Building Materials. 268:121189
This study employs two carbon nanomaterial (i.e., graphene oxide, GO; carbon nanotubes, CNT)/polymer (i.e., styrene-butadienestyrene, SBS) composites to modify asphalt binder for the optimal design of asphalt pavement materials. The feasibility of ut
Publikováno v:
Journal of Cleaner Production. 276:124180
The utilization of carbon nanomaterials such as graphene oxide (GO) and carbon nanotube (CNT) to modify asphalt binders is an innovative process. The feasibility of modifying asphalt binder with carbon nanomaterials was evaluated from the perspective