Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zhuoying Ruan"'
Autor:
Xuanxuan Li, Yajing Zhao, Yiping Lu, Yingyan Zheng, Nan Mei, Qiuyue Han, Zhuoying Ruan, Anling Xiao, Xiaohui Qiu, Dongdong Wang, Bo Yin
Publikováno v:
BMC Medical Imaging, Vol 22, Iss 1, Pp 1-14 (2022)
Abstract Background To identify effective factors and establish a model to distinguish COVID-19 patients from suspected cases. Methods The clinical characteristics, laboratory results and initial chest CT findings of suspected COVID-19 patients in 3
Externí odkaz:
https://doaj.org/article/9ba1553b88df4059842e0696e729482a
Autor:
Anling Xiao, Huijuan Zhao, Jianbing Xia, Ling Zhang, Chao Zhang, Zhuoying Ruan, Nan Mei, Xun Li, Wuren Ma, Zhuozhu Wang, Yi He, Jimmy Lee, Weiming Zhu, Dajun Tian, Kunkun Zhang, Weiwei Zheng, Bo Yin
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
Background: The coronavirus disease 2019 (COVID-19) pandemic has lasted much longer than an influenza season, but the main signs, symptoms, and some imaging findings are similar in COVID-19 and influenza patients. The aim of the current study was to
Externí odkaz:
https://doaj.org/article/28930b1a4ee94ad7a6970f4f6a6faef5
Publikováno v:
Annals of Hematology. 101:2807-2808
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47c2980f003d24734c4f1eb116718d0b
https://doi.org/10.1007/s00277-022-05008-1
https://doi.org/10.1007/s00277-022-05008-1
Publikováno v:
Journal of computer assisted tomography. 46(3)
This study aimed to assess different machine learning models based on radiomic features, Visually Accessible Rembrandt Images features and clinical characteristics in overall survival prediction of glioblastoma and to identify the reproducible featur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::364afc75151f55dde401d530b698dc22
https://pubmed.ncbi.nlm.nih.gov/35405713
https://pubmed.ncbi.nlm.nih.gov/35405713
Autor:
Bo Yin, Anling Xiao, Qiuyue Han, Xuanxuan Li, Dongdong Wang, Nan Mei, Zhuoying Ruan, Yajing Zhao, Yiping Lu, Yingyan Zheng, Xiaohui Qiu
Background: To identify effective factors and establish a model to distinguish COVID-19 patients from suspected cases.Methods: The clinical characteristics, laboratory results and initial chest CT findings of suspected COVID-19 patients in 3 institut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2e16d6247d53b7fc09d2a075810b535
https://doi.org/10.21203/rs.3.rs-1077250/v1
https://doi.org/10.21203/rs.3.rs-1077250/v1
Autor:
Xuanxuan Li, Yajing Zhao, Yiping Lu, Yingyan Zheng, Nan Mei, Qiuyue Han, Zhuoying Ruan, Anling Xiao, Xiaohui Qiu, Dongdong Wang, Bo Yin
Publikováno v:
BMC medical imaging. 22(1)
Background To identify effective factors and establish a model to distinguish COVID-19 patients from suspected cases. Methods The clinical characteristics, laboratory results and initial chest CT findings of suspected COVID-19 patients in 3 instituti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa1ef4c715e126a37f03561478de9c8b
https://pubmed.ncbi.nlm.nih.gov/35346080
https://pubmed.ncbi.nlm.nih.gov/35346080
Autor:
Nan Mei, Huijuan Zhao, Bo Yin, James R. Lee, Zhuozhu Wang, Dajun Tian, Xun Li, Anling Xiao, Weiwei Zheng, Wuren Ma, Chao Zhang, Yi He, Weiming Zhu, Zhuoying Ruan
Publikováno v:
SSRN Electronic Journal.
Background: The outbreak of COVID-19 overlaps with the usual flu season, and the main signs, symptoms and imaging manifestations in COVID-19 and flu infections share similarity. This study is aimed to constructed an accurate and robust model for init
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2facc21b1a84affe5cf48468e6561025
https://doi.org/10.2139/ssrn.3578763
https://doi.org/10.2139/ssrn.3578763