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DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders.
Marinescu, Razvan V; Eshaghi, Arman; Lorenzi, Marco; Young, Alexandra L; Oxtoby, Neil P; Garbarino, Sara; Crutch, Sebastian J; Alexander, Daniel C.
Afiliación
  • Marinescu RV; Centre for Medical Image Computing, University College London, Gower Street, London, United Kingdom. Electronic address: razvan.marinescu.14@ucl.ac.uk.
  • Eshaghi A; Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, United Kingdom.
  • Lorenzi M; Centre for Medical Image Computing, University College London, Gower Street, London, United Kingdom; Epione Research-Project, Inria, France and Université Côte D'Azur, France.
  • Young AL; Centre for Medical Image Computing, University College London, Gower Street, London, United Kingdom.
  • Oxtoby NP; Centre for Medical Image Computing, University College London, Gower Street, London, United Kingdom.
  • Garbarino S; Centre for Medical Image Computing, University College London, Gower Street, London, United Kingdom; Epione Research-Project, Inria, France and Université Côte D'Azur, France.
  • Crutch SJ; Dementia Research Centre, University College London Institute of Neurology, London, United Kingdom.
  • Alexander DC; Centre for Medical Image Computing, University College London, Gower Street, London, United Kingdom.
Neuroimage ; 192: 166-177, 2019 05 15.
Article en En | MEDLINE | ID: mdl-30844504
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedades Neurodegenerativas / Neuroimagen / Modelos Neurológicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedades Neurodegenerativas / Neuroimagen / Modelos Neurológicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article