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Machine learning for the automatic assessment of aortic rot..:
Garrido-Oliver, Juan
;
Aviles, Jordina
;
Córdova, Marcos Mejía
...
European Radiology. 32 (2022) 10 - p. 7117-7127 , 2022
Link:
https://doi.org/10.1007/s00330-022-09068-9
RT Journal T1
Machine learning for the automatic assessment of aortic rotational flow and wall shear stress from 4D flow cardiac magnetic resonance imaging
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s00330-022-09068-9&Exemplar=1&LAN=DE A1 Garrido-Oliver, Juan A1 Aviles, Jordina A1 Córdova, Marcos Mejía A1 Dux-Santoy, Lydia A1 Ruiz-Muñoz, Aroa A1 Teixido-Tura, Gisela A1 Maso Talou, Gonzalo D. A1 Morales Ferez, Xabier A1 Jiménez, Guillermo A1 Evangelista, Arturo A1 Ferreira-González, Ignacio A1 Rodriguez-Palomares, Jose A1 Camara, Oscar A1 Guala, Andrea PB Springer Science and Business Media LLC YR 2022 SN 1432-1084 JF European Radiology VO 32 IS 10 SP 7117 OP 7127 LK http://dx.doi.org/https://doi.org/10.1007/s00330-022-09068-9 DO https://doi.org/10.1007/s00330-022-09068-9 SF ELIB - SuUB Bremen
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