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QQ-NET - using deep learning to solve quantitative susceptibility mapping and quantitative blood oxygen level dependent magnitude (QSM+qBOLD or QQ) based oxygen extraction fraction (OEF) mapping.
Cho, Junghun; Zhang, Jinwei; Spincemaille, Pascal; Zhang, Hang; Hubertus, Simon; Wen, Yan; Jafari, Ramin; Zhang, Shun; Nguyen, Thanh D; Dimov, Alexey V; Gupta, Ajay; Wang, Yi.
Afiliación
  • Cho J; Department of Radiology, Weill Cornell Medical College, New York, New York, USA.
  • Zhang J; Department of Biomedical Engineering, Cornell University, Ithaca, New York, USA.
  • Spincemaille P; Department of Radiology, Weill Cornell Medical College, New York, New York, USA.
  • Zhang H; Department of Biomedical Engineering, Cornell University, Ithaca, New York, USA.
  • Hubertus S; Department of Radiology, Weill Cornell Medical College, New York, New York, USA.
  • Wen Y; Department of Biomedical Engineering, Cornell University, Ithaca, New York, USA.
  • Jafari R; Department of Biomedical Engineering, Cornell University, Ithaca, New York, USA.
  • Zhang S; Department of Radiology, Weill Cornell Medical College, New York, New York, USA.
  • Nguyen TD; Department of Radiology, Weill Cornell Medical College, New York, New York, USA.
  • Dimov AV; Department of Radiology, Weill Cornell Medical College, New York, New York, USA.
  • Gupta A; Department of Radiology, Weill Cornell Medical College, New York, New York, USA.
  • Wang Y; Department of Radiology, Weill Cornell Medical College, New York, New York, USA.
Magn Reson Med ; 87(3): 1583-1594, 2022 03.
Article en En | MEDLINE | ID: mdl-34719059
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Oxígeno / Aprendizaje Profundo Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Oxígeno / Aprendizaje Profundo Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos