Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols

Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols

Vast quantities of Magnetic Resonance Images (MRI) are routinely acquired in clinical practice but, to speed up acquisition, these scans are typically of a quality that is sufficient for clinical diagnosis but sub-optimal for large-scale precision medicine, computational diagnostics, and large-scale...

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Bibliographic Details
Main Authors:	Bryan M. Li, Leonardo V. Castorina, Maria del C. Valdés Hernández, Una Clancy, Stewart J. Wiseman, Eleni Sakka, Amos J. Storkey, Daniela Jaime Garcia, Yajun Cheng, Fergus Doubal, Michael T. Thrippleton, Michael Stringer, Joanna M. Wardlaw
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-08-01
Series:	Frontiers in Computational Neuroscience
Subjects:	super-resolution Magnetic Resonance Imaging deep learning image reconstruction explainable artificial intelligence brain imaging
Online Access:	https://www.frontiersin.org/articles/10.3389/fncom.2022.887633/full

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