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DragNet: Learning-based deformable registration for realistic cardiac MR sequence generation from a single frame.
Zakeri, Arezoo; Hokmabadi, Alireza; Bi, Ning; Wijesinghe, Isuru; Nix, Michael G; Petersen, Steffen E; Frangi, Alejandro F; Taylor, Zeike A; Gooya, Ali.
Afiliación
  • Zakeri A; Centre for Computational Imaging and Simulation Technologies in Biomedicine, School of Computing, University of Leeds, UK. Electronic address: a.zakeri@leeds.ac.uk.
  • Hokmabadi A; Centre for Computational Imaging and Simulation Technologies in Biomedicine, School of Computing, University of Leeds, UK.
  • Bi N; Centre for Computational Imaging and Simulation Technologies in Biomedicine, School of Computing, University of Leeds, UK.
  • Wijesinghe I; Centre for Computational Imaging and Simulation Technologies in Biomedicine, School of Mechanical Engineering, University of Leeds, UK.
  • Nix MG; Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, UK.
  • Petersen SE; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, UK; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK; Health Data Research UK, London, UK; Alan Turing Institute, London, UK.
  • Frangi AF; Centre for Computational Imaging and Simulation Technologies in Biomedicine, School of Computing, University of Leeds, UK.
  • Taylor ZA; Centre for Computational Imaging and Simulation Technologies in Biomedicine, School of Mechanical Engineering, University of Leeds, UK.
  • Gooya A; Alan Turing Institute, London, UK; School of Computing Science, University of Glasgow, Glasgow, UK. Electronic address: Ali.Gooya@glasgow.ac.uk.
Med Image Anal ; 83: 102678, 2023 Jan.
Article en En | MEDLINE | ID: mdl-36403308
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article