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A multimodal computational pipeline for 3D histology of the human brain.
Mancini, Matteo; Casamitjana, Adrià; Peter, Loic; Robinson, Eleanor; Crampsie, Shauna; Thomas, David L; Holton, Janice L; Jaunmuktane, Zane; Iglesias, Juan Eugenio.
Afiliación
  • Mancini M; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK. m.mancini2@bsms.ac.uk.
  • Casamitjana A; Department of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, UK. m.mancini2@bsms.ac.uk.
  • Peter L; CUBRIC, Cardiff University, Cardiff, UK. m.mancini2@bsms.ac.uk.
  • Robinson E; NeuroPoly Lab, Polytechnique Montreal, Montreal, Canada. m.mancini2@bsms.ac.uk.
  • Crampsie S; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
  • Thomas DL; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
  • Holton JL; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
  • Jaunmuktane Z; Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Iglesias JE; Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, University College London, London, UK.
Sci Rep ; 10(1): 13839, 2020 08 14.
Article en En | MEDLINE | ID: mdl-32796937
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Encéfalo / Imagen por Resonancia Magnética / Imagenología Tridimensional / Neuroimagen Límite: Aged80 / Humans Idioma: En Revista: Sci Rep Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Encéfalo / Imagen por Resonancia Magnética / Imagenología Tridimensional / Neuroimagen Límite: Aged80 / Humans Idioma: En Revista: Sci Rep Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido