Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yueting XIAO"'
Autor:
Fan Fu, Jianyong Wei, Miao Zhang, Fan Yu, Yueting Xiao, Dongdong Rong, Yi Shan, Yan Li, Cheng Zhao, Fangzhou Liao, Zhenghan Yang, Yuehua Li, Yingmin Chen, Ximing Wang, Jie Lu
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Manual postprocessing of computed tomography angiography (CTA) images is extremely labor intensive and error prone. Here, the authors propose an artificial intelligence reconstruction system that can automatically achieve CTA reconstruction in health
Externí odkaz:
https://doaj.org/article/18ee8e0a573c47d28d028344572ab4f2
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
This study examined the relationship between perfectionism and subjective well-being (SWB) and dimensions of social problem-solving ability. The Almost Perfect Scale-Revised (APS-R), Social problem-solving Inventory-Revised (SPSI-R) and Satisfaction
Externí odkaz:
https://doaj.org/article/01ca5660170547a1a17322fe523ea2eb
Publikováno v:
Separations, Vol 9, Iss 2, p 35 (2022)
The issue of antibiotic residues in aquaculture products has aroused much concern over the last decade. The residues can remain in food and enter the human body through the food chain, posing great risks to public health. For the safety of foods and
Externí odkaz:
https://doaj.org/article/721a44075acb45099085aa1204b14a59
Publikováno v:
Chinese Earth Sciences Review. 1:1-9
Geothermal energy is a kind of renewable and clean energy.It has unique and significant advantages in the energy family.The effective development and utilization of geothermal resources is of great significance to help achieve the strategic goal of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22241cf19242fa006b8b9f08e19a7614
https://doi.org/10.48014/cesr.20220908001
https://doi.org/10.48014/cesr.20220908001
Autor:
Yingmin Chen, Cheng Zhao, Yan Li, Ximing Wang, Dongdong Rong, Fan Fu, Yueting Xiao, Fangzhou Liao, Fan Yu, Jianyong Wei, Yang Zhenghan, Yi Shan, Miao Zhang, Yuehua Li, Jie Lu
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Nature Communications
Nature Communications
The computed tomography angiography (CTA) postprocessing manually recognized by technologists is extremely labor intensive and error prone. We propose an artificial intelligence reconstruction system supported by an optimized physiological anatomical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cb891085fca5851f772a5a5db4a21f0
https://doi.org/10.1038/s41467-020-18606-2
https://doi.org/10.1038/s41467-020-18606-2