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Automated segmentation of the hypothalamus and associated subunits in brain MRI.
Billot, Benjamin; Bocchetta, Martina; Todd, Emily; Dalca, Adrian V; Rohrer, Jonathan D; Iglesias, Juan Eugenio.
Afiliación
  • Billot B; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College, London, UK. Electronic address: benjamin.billot.18@ucl.ac.uk.
  • Bocchetta M; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College, London, UK.
  • Todd E; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College, London, UK.
  • Dalca AV; Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Boston, USA.
  • Rohrer JD; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College, London, UK.
  • Iglesias JE; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College, London, UK; Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, USA; Computer Science and Artificial Intelligence Laboratory, Massa
Neuroimage ; 223: 117287, 2020 12.
Article en En | MEDLINE | ID: mdl-32853816

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Mapeo Encefálico / Imagen por Resonancia Magnética / Hipotálamo Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Mapeo Encefálico / Imagen por Resonancia Magnética / Hipotálamo Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article