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Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping.
Hann, Evan; Popescu, Iulia A; Zhang, Qiang; Gonzales, Ricardo A; Barutçu, Ahmet; Neubauer, Stefan; Ferreira, Vanessa M; Piechnik, Stefan K.
Afiliação
  • Hann E; Oxford University Centre for Clinical Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Headington, Oxford OX3 9DU, United Kingdom. Electronic address: evan.hann@cardiov.ox.ac.uk.
  • Popescu IA; Oxford University Centre for Clinical Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Headington, Oxford OX3 9DU, United Kingdom.
  • Zhang Q; Oxford University Centre for Clinical Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Headington, Oxford OX3 9DU, United Kingdom.
  • Gonzales RA; Oxford University Centre for Clinical Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Headington, Oxford OX3 9DU, United Kingdom.
  • Barutçu A; Oxford University Centre for Clinical Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Headington, Oxford OX3 9DU, United Kingdom; Çanakkale Onsekiz Mart University, Barbaros, 17100 Kepez/Çanakkale Merkez/Çanakkale, Turkey.
  • Neubauer S; Oxford University Centre for Clinical Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Headington, Oxford OX3 9DU, United Kingdom.
  • Ferreira VM; Oxford University Centre for Clinical Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Headington, Oxford OX3 9DU, United Kingdom.
  • Piechnik SK; Oxford University Centre for Clinical Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Headington, Oxford OX3 9DU, United Kingdom.
Med Image Anal ; 71: 102029, 2021 07.
Article em En | MEDLINE | ID: mdl-33831594
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Imageamento por Ressonância Magnética Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Med Image Anal Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Imageamento por Ressonância Magnética Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Med Image Anal Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2021 Tipo de documento: Article