Deep learning for accelerated and robust MRI reconstruction

Deep learning (DL) has recently emerged as a pivotal technology for enhancing magnetic resonance imaging (MRI), a critical tool in diagnostic radiology. This review paper provides a comprehensive overview of recent advances in DL for MRI reconstruction, and focuses on various DL approaches and archi...

Celý popis

Podrobná bibliografie

Vydáno v:	Magma (New York, N.Y.) Ročník 37; číslo 3; s. 335 - 368
Hlavní autoři:	Heckel, Reinhard, Jacob, Mathews, Chaudhari, Akshay, Perlman, Or, Shimron, Efrat
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.07.2024
Témata:	Basic Science - Reconstruction algorithms and artificial intelligence Biomedical Engineering and Bioengineering Computer Appl. in Life Sciences Health Informatics Imaging Medicine Medicine & Public Health Radiology Review Solid State Physics Deep learning MRI Image reconstruction Machine learning
ISSN:	1352-8661, 0968-5243, 1352-8661
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!