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MOCOnet: Robust Motion Correction of Cardiovascular Magnetic Resonance T1 Mapping Using Convolutional Neural Networks.

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Title: MOCOnet: Robust Motion Correction of Cardiovascular Magnetic Resonance T1 Mapping Using Convolutional Neural Networks.
Authors: Gonzales RA; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom., Zhang Q; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom., Papież BW; Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom., Werys K; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom., Lukaschuk E; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom., Popescu IA; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom., Burrage MK; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom., Shanmuganathan M; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom., Ferreira VM; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom., Piechnik SK; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
Source: Frontiers in cardiovascular medicine [Front Cardiovasc Med] 2021 Nov 23; Vol. 8, pp. 768245. Date of Electronic Publication: 2021 Nov 23 (Print Publication: 2021).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101653388 Publication Model: eCollection Cited Medium: Print ISSN: 2297-055X (Print) Linking ISSN: 2297055X NLM ISO Abbreviation: Front Cardiovasc Med Subsets: PubMed not MEDLINE
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  Data: MOCOnet: Robust Motion Correction of Cardiovascular Magnetic Resonance T1 Mapping Using Convolutional Neural Networks.
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  Data: <searchLink fieldCode="AU" term="%22Gonzales+RA%22">Gonzales RA</searchLink>; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Zhang+Q%22">Zhang Q</searchLink>; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Papież+BW%22">Papież BW</searchLink>; Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Werys+K%22">Werys K</searchLink>; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Lukaschuk+E%22">Lukaschuk E</searchLink>; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Popescu+IA%22">Popescu IA</searchLink>; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Burrage+MK%22">Burrage MK</searchLink>; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Shanmuganathan+M%22">Shanmuganathan M</searchLink>; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Ferreira+VM%22">Ferreira VM</searchLink>; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Piechnik+SK%22">Piechnik SK</searchLink>; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
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  Data: <searchLink fieldCode="JN" term="%22101653388%22">Frontiers in cardiovascular medicine</searchLink> [Front Cardiovasc Med] 2021 Nov 23; Vol. 8, pp. 768245. <i>Date of Electronic Publication: </i>2021 Nov 23 (<i>Print Publication: </i>2021).
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34888366
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              Text: 2021 Nov 23
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