Development of deep learning virtual native enhancement for gadolinium-free myocardial infarction and viability assessment

Detalles Bibliográficos
Main Authors:	Zhang, Q, Burrage, MK, Shanmuganathan, M, Gonzales, RA, Nikolaidou, C, Popescu, IA, Lukaschuk, E, Neubauer, S, Ferreira, VM, Piechnik, SK
Formato:	Conference item
Idioma:	English
Publicado:	Society for Cardiovascular Magnetic Resonance 2022

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por: Carapella, V, et al.
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Development of deep learning virtual native enhancement for gadolinium-free myocardial infarction and viability assessment

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