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Akademický článek

Optimal combination periprosthetic vasculature visualization and metal artifact reduction by spectral computed tomography using virtual monoenergetic images in total hip arthroplasty

Autor: Jie Zhao, Qiang Cheng, Chuan Liu, Qiqi Wang, Yuchan Lv, Ziyi Tang, Yuxi Luo, Haitao Yang

Publikováno v: Insights into Imaging, Vol 14, Iss 1, Pp 1-12 (2023)

Abstract Objectives To investigate the optimal parameters of spectral CT for preferably visualizing the periprosthetic vasculature and metal artifact reduction (MAR) in total hip arthroplasty (THA). Methods A total of 34 THA of 30 patients were retro

Externí odkaz: https://doaj.org/article/b52cd039efd14c1f82147c0c30f91581

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Akademický článek

Quantitative MRI indicators and features for partial subscapularis tendon tears on conventional shoulder MRI

Autor: Qiqi Wang, Jie Zhao, Suying Zhou, Yuchan Lv, Xin Liu, Haitao Yang

Publikováno v: Insights into Imaging, Vol 13, Iss 1, Pp 1-11 (2022)

Abstract Background Diagnosing partial subscapularis (SSC) tendon tears still faces challenges. A failure rate of massive posterosuperior rotator cuff tear repair will be highly increased when extending more than one-third of SSC tendon. This study a

Externí odkaz: https://doaj.org/article/418de8da4e244c2d81a178dc4f2ffcf5

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Akademický článek

YOLO-Sp: A Novel Transformer-Based Deep Learning Model for Achnatherum splendens Detection

Autor: Yuzhuo Zhang, Tianyi Wang, Yong You, Decheng Wang, Dongyan Zhang, Yuchan Lv, Mengyuan Lu, Xingshan Zhang

Publikováno v: Agriculture, Vol 13, Iss 6, p 1197 (2023)

The growth of Achnatherum splendens (A. splendens) inhibits the growth of dominant grassland herbaceous species, resulting in a loss of grassland biomass and a worsening of the grassland ecological environment. Therefore, it is crucial to identify th

Externí odkaz: https://doaj.org/article/18b37aeba7e04ee89763ec0b34fa9439

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YOLO-Sp: A Novel Transformer-Based Deep Learning Model for Achnatherum splendens Detection

Autor: Zhang, Yuzhuo Zhang, Tianyi Wang, Yong You, Decheng Wang, Dongyan Zhang, Yuchan Lv, Mengyuan Lu, Xingshan

Publikováno v: Agriculture; Volume 13; Issue 6; Pages: 1197

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::b02178564f22ca6e26a8c5309e75b0f6

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Quantitative measurements at the lumbosacral junction are more reliable parameters for identifying and numbering lumbosacral transitional vertebrae

Autor: Suying Zhou, Lin Du, Xin Liu, Qiqi Wang, Jie Zhao, Yuchan Lv, Haitao Yang

Publikováno v: European radiology. 32(8)

To evaluate quantitative parameters to identify the anatomic variation lumbosacral transitional vertebrae (LSTV) and compare them with the landmarks commonly used at present.A total of 2,845 PET/CT scans were reviewed, and the patients with 23 and 25

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b15f851c54e8d56975fbcbc9e206450
https://pubmed.ncbi.nlm.nih.gov/35258678

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