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1 Ergebnisse
1
Self-supervised learning enables 3D digital subtraction ang..:
Zhao, Huangxuan
;
Zhou, Zhenghong
;
Wu, Feihong
...
Cell Reports Medicine. 3 (2022) 10 - p. 100775 , 2022
Link:
https://doi.org/10.1016/j.xcrm.2022.100775
RT Journal T1
Self-supervised learning enables 3D digital subtraction angiography reconstruction from ultra-sparse 2D projection views: A multicenter study
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.xcrm.2022.100775&Exemplar=1&LAN=DE A1 Zhao, Huangxuan A1 Zhou, Zhenghong A1 Wu, Feihong A1 Xiang, Dongqiao A1 Zhao, Hui A1 Zhang, Wei A1 Li, Lin A1 Li, Zhong A1 Huang, Jia A1 Hu, Hongyao A1 Liu, Chengbo A1 Wang, Tao A1 Liu, Wenyu A1 Ma, Jinqiang A1 Yang, Fan A1 Wang, Xinggang A1 Zheng, Chuansheng PB Elsevier BV YR 2022 SN 2666-3791 JF Cell Reports Medicine VO 3 IS 10 SP 100775 LK http://dx.doi.org/https://doi.org/10.1016/j.xcrm.2022.100775 DO https://doi.org/10.1016/j.xcrm.2022.100775 SF ELIB - SuUB Bremen
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