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PhysVENeT: a physiologically-informed deep learning-based framework for the synthesis of 3D hyperpolarized gas MRI ventilation.
Astley, Joshua R; Biancardi, Alberto M; Marshall, Helen; Smith, Laurie J; Hughes, Paul J C; Collier, Guilhem J; Saunders, Laura C; Norquay, Graham; Tofan, Malina-Maria; Hatton, Matthew Q; Hughes, Rod; Wild, Jim M; Tahir, Bilal A.
Afiliación
  • Astley JR; Department of Oncology and Metabolism, The University of Sheffield, Sheffield, UK.
  • Biancardi AM; POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
  • Marshall H; POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
  • Smith LJ; POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
  • Hughes PJC; POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
  • Collier GJ; POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
  • Saunders LC; POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
  • Norquay G; POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
  • Tofan MM; POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
  • Hatton MQ; Department of Oncology and Metabolism, The University of Sheffield, Sheffield, UK.
  • Hughes R; Department of Oncology and Metabolism, The University of Sheffield, Sheffield, UK.
  • Wild JM; Early Development Respiratory Medicine, AstraZeneca, Cambridge, UK.
  • Tahir BA; POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
Sci Rep ; 13(1): 11273, 2023 07 12.
Article en En | MEDLINE | ID: mdl-37438406

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / COVID-19 Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / COVID-19 Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido