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1 Ergebnisse
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Automated segmentation and quantification of the healthy an..:
Sieren, Malte Maria
;
Widmann, Cornelia
;
Weiss, Nick
...
European Radiology. 32 (2021) 1 - p. 690-701 , 2021
Link:
https://doi.org/10.1007/s00330-021-08130-2
RT Journal T1
Automated segmentation and quantification of the healthy and diseased aorta in CT angiographies using a dedicated deep learning approach
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s00330-021-08130-2&Exemplar=1&LAN=DE A1 Sieren, Malte Maria A1 Widmann, Cornelia A1 Weiss, Nick A1 Moltz, Jan Hendrik A1 Link, Florian A1 Wegner, Franz A1 Stahlberg, Erik A1 Horn, Marco A1 Oecherting, Thekla Helene A1 Goltz, Jan Peter A1 Barkhausen, Joerg A1 Frydrychowicz, Alex PB Springer Science and Business Media LLC YR 2021 SN 0938-7994 SN 1432-1084 JF European Radiology VO 32 IS 1 SP 690 OP 701 LK http://dx.doi.org/https://doi.org/10.1007/s00330-021-08130-2 DO https://doi.org/10.1007/s00330-021-08130-2 SF ELIB - SuUB Bremen
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