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Metrics for quality control of results from super-resolutio..:

Castorina, Leonardo V ; Li, Bryan M ; Storkey, Amos.
Castorina, Leonardo V.; Li, Bryan M.; Storkey, Amos; Valdés Hernández, Maria. (2021). Metrics for quality control of results from super-resolution machine-learning algorithms – Data extracted from publications in the period 2017- May 2021, 2017-2021 [dataset]. University of Edinburgh. Centre for Clinical Brain Sciences and School of Informatics. https://doi.org/10.7488/ds/3062.. , 2021

Link: https://hdl.handle.net/10283/3933

RT Journal
T1 <Title>Metrics for quality control of results from super-resolution machine-learning algorithms – Data extracted from publications in the period 2017- May 2021 ; Metrics for super-resolution quality control</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftuedinburgheds:oai:datashare.ed.ac.uk:10283_3933&Exemplar=1&LAN=DE
				
A1 Castorina, Leonardo V
A1 Li, Bryan M
A1 Storkey, Amos
A1 Valdés Hernández, Maria
PB University of Edinburgh. Centre for Clinical Brain Sciences and School of Informatics
YR 2021
K1 super-resolution
K1 quality control
K1 metrics for quality control
K1 magnetic resonance imaging
K1 algorithms
K1 convolutional neural networks
K1 deep learning
K1 machine learning
K1 similarity metrics
K1 mean square error
K1 image quality
K1 mutual information
K1 signal to noise ratio
K1 Mathematical and Computer Sciences
JF Castorina, Leonardo V.; Li, Bryan M.; Storkey, Amos; Valdés Hernández, Maria. (2021). Metrics for quality control of results from super-resolution machine-learning algorithms – Data extracted from publications in the period 2017- May 2021, 2017-2021 [dataset]. University of Edinburgh. Centre for Clinical Brain Sciences and School of Informatics. https://doi.org/10.7488/ds/3062.
LK http://dx.doi.org/https://hdl.handle.net/10283/3933
DO https://hdl.handle.net/10283/3933
SF ELIB - SuUB Bremen

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