Your browser doesn't support javascript.
loading
Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation.
Attar, Rahman; Pereañez, Marco; Gooya, Ali; Albà, Xènia; Zhang, Le; de Vila, Milton Hoz; Lee, Aaron M; Aung, Nay; Lukaschuk, Elena; Sanghvi, Mihir M; Fung, Kenneth; Paiva, Jose Miguel; Piechnik, Stefan K; Neubauer, Stefan; Petersen, Steffen E; Frangi, Alejandro F.
Afiliación
  • Attar R; Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), School of Computing, University of Leeds, Leeds, UK; Biomedical Imaging Department, Leeds Institute for Cardiovascular and Metabolic Medicine (LICAMM), School of Medicine, University of Leeds, Leeds, UK. Electronic
  • Pereañez M; Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), School of Computing, University of Leeds, Leeds, UK; Biomedical Imaging Department, Leeds Institute for Cardiovascular and Metabolic Medicine (LICAMM), School of Medicine, University of Leeds, Leeds, UK.
  • Gooya A; Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), School of Computing, University of Leeds, Leeds, UK.
  • Albà X; Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Universitat Pompeu Fabra, Barcelona, Spain.
  • Zhang L; Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK.
  • de Vila MH; Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), School of Computing, University of Leeds, Leeds, UK.
  • Lee AM; William Harvey Research Institute, NIHR Barts Biomedical Research Unit, Queen Mary University of London, London, UK; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK.
  • Aung N; William Harvey Research Institute, NIHR Barts Biomedical Research Unit, Queen Mary University of London, London, UK; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK.
  • Lukaschuk E; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK.
  • Sanghvi MM; William Harvey Research Institute, NIHR Barts Biomedical Research Unit, Queen Mary University of London, London, UK; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK.
  • Fung K; William Harvey Research Institute, NIHR Barts Biomedical Research Unit, Queen Mary University of London, London, UK; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK.
  • Paiva JM; William Harvey Research Institute, NIHR Barts Biomedical Research Unit, Queen Mary University of London, London, UK; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK.
  • Piechnik SK; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK.
  • Neubauer S; Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK.
  • Petersen SE; William Harvey Research Institute, NIHR Barts Biomedical Research Unit, Queen Mary University of London, London, UK; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK.
  • Frangi AF; Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), School of Computing, University of Leeds, Leeds, UK; Biomedical Imaging Department, Leeds Institute for Cardiovascular and Metabolic Medicine (LICAMM), School of Medicine, University of Leeds, Leeds, UK. Electronic
Med Image Anal ; 56: 26-42, 2019 08.
Article en En | MEDLINE | ID: mdl-31154149

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Modelos Estadísticos / Redes Neurales de la Computación / Imagen por Resonancia Cinemagnética / Ventrículos Cardíacos Tipo de estudio: Guideline / Risk_factors_studies Límite: Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Modelos Estadísticos / Redes Neurales de la Computación / Imagen por Resonancia Cinemagnética / Ventrículos Cardíacos Tipo de estudio: Guideline / Risk_factors_studies Límite: Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article Pais de publicación: Países Bajos