Your browser doesn't support javascript.
loading
Simultaneous superresolution reconstruction and distortion correction for single-shot EPI DWI using deep learning.
Ye, Xinyu; Wang, Peipei; Li, Sisi; Zhang, Jieying; Lian, Yuan; Zhang, Yajing; Lu, Jie; Guo, Hua.
Afiliación
  • Ye X; Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Wang P; Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Li S; Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Zhang J; Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Lian Y; Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Zhang Y; MR Clinical Science, Philips Healthcare, Suzhou, China.
  • Lu J; Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Guo H; Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
Magn Reson Med ; 89(6): 2456-2470, 2023 06.
Article en En | MEDLINE | ID: mdl-36705077
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Imagen de Difusión por Resonancia Magnética / Aprendizaje Profundo Tipo de estudio: Guideline Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Imagen de Difusión por Resonancia Magnética / Aprendizaje Profundo Tipo de estudio: Guideline Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article País de afiliación: China