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1 Ergebnisse
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Development of a Super-Resolution Scheme for Pediatric Magn..:
Molina-Maza, Juan Manuel
;
Galiana-Bordera, Adrian
;
Jimenez, Mar
..
Molina-Maza JM, Galiana-Bordera A, Jimenez M, Malpica N and Torrado-Carvajal A (2022) Development of a Super-Resolution Scheme for Pediatric Magnetic Resonance Brain Imaging Through Convolutional Neural Networks. Front. Neurosci. 16:830143. , 2022
Link:
https://hdl.handle.net/10115/27708
RT Journal T1 <Title>Development of a Super-Resolution Scheme for Pediatric Magnetic Resonance Brain Imaging Through Convolutional Neural Networks</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivreyjc:oai:eciencia.urjc.es:10115_27708&Exemplar=1&LAN=DE A1 Molina-Maza, Juan Manuel A1 Galiana-Bordera, Adrian A1 Jimenez, Mar A1 Malpica, Norberto A1 Torrado-Carvajal, Angel PB Frontiers YR 2022 K1 deep learning (DL) K1 magnetic resonance imaging (MRI) K1 pediatric imaging K1 sedation K1 super-resolution (SR) K1 convolutional neural networks (CNN) JF Molina-Maza JM, Galiana-Bordera A, Jimenez M, Malpica N and Torrado-Carvajal A (2022) Development of a Super-Resolution Scheme for Pediatric Magnetic Resonance Brain Imaging Through Convolutional Neural Networks. Front. Neurosci. 16:830143 LK http://dx.doi.org/https://hdl.handle.net/10115/27708 DO https://hdl.handle.net/10115/27708 SF ELIB - SuUB Bremen
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