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Use of artificial intelligence to automatically predict the..:
Torlasco, C
;
Papetti, D M
;
Castelletti, S
...
European Heart Journal - Cardiovascular Imaging. 24 (2023) Supplement_1 - p. , 2023
Link:
https://doi.org/10.1093/ehjci/jead119.103
RT Journal T1 <Title>Use of artificial intelligence to automatically predict the optimal patient-specific inversion time for late gadolinium enhancement imaging. Tool development and clinical validation</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_ehjci_jead119.103&Exemplar=1&LAN=DE A1 Torlasco, C A1 Papetti, D M A1 Castelletti, S A1 Sabatini, M A1 Muscogiuri, G A1 Badano, L P A1 Parati, G A1 Kellman, P A1 Besozzi, D A1 Nobile, M S PB Oxford University Press (OUP) YR 2023 SN 2047-2404 SN 2047-2412 JF European Heart Journal - Cardiovascular Imaging VO 24 IS Supplement_1 LK http://dx.doi.org/https://doi.org/10.1093/ehjci/jead119.103 DO https://doi.org/10.1093/ehjci/jead119.103 SF ELIB - SuUB Bremen
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