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Complexities of deep learning-based undersampled MR image reconstruction

Artificial intelligence has opened a new path of innovation in magnetic resonance (MR) image reconstruction of undersampled k-space acquisitions. This review offers readers an analysis of the current deep learning-based MR image reconstruction methods. The literature in this field shows exponential...

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Detalles Bibliográficos
Autores principales:	Noordman, Constant Richard, Yakar, Derya, Bosma, Joeran, Simonis, Frank Frederikus Jacobus, Huisman, Henkjan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Vienna 2023
Materias:	Narrative Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547669/ https://www.ncbi.nlm.nih.gov/pubmed/37789241 http://dx.doi.org/10.1186/s41747-023-00372-7

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