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1 Ergebnisse
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Right ventricular strain and volume analyses through deep l..:
Kawakubo, Masateru
;
Moriyama, Daichi
;
Yamasaki, Yuzo
...
Magnetic Resonance Materials in Physics, Biology and Medicine. 35 (2022) 6 - p. 911-921 , 2022
Link:
https://doi.org/10.1007/s10334-022-01017-3
RT Journal T1 <Title>Right ventricular strain and volume analyses through deep learning-based fully automatic segmentation based on radial long-axis reconstruction of short-axis cine magnetic resonance images</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s10334-022-01017-3&Exemplar=1&LAN=DE A1 Kawakubo, Masateru A1 Moriyama, Daichi A1 Yamasaki, Yuzo A1 Abe, Kohtaro A1 Hosokawa, Kazuya A1 Moriyama, Tetsuhiro A1 Triadyaksa, Pandji A1 Wibowo, Adi A1 Nagao, Michinobu A1 Arai, Hideo A1 Nishimura, Hiroshi A1 Kadokami, Toshiaki PB Springer Science and Business Media LLC YR 2022 SN 1352-8661 JF Magnetic Resonance Materials in Physics, Biology and Medicine VO 35 IS 6 SP 911 OP 921 LK http://dx.doi.org/https://doi.org/10.1007/s10334-022-01017-3 DO https://doi.org/10.1007/s10334-022-01017-3 SF ELIB - SuUB Bremen
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