Self-supervised learning of physics-guided reconstruction neural networks without fully sampled reference data.

Yaman, Burhaneddin; Hosseini, Seyed Amir Hossein; Moeller, Steen; Ellermann, Jutta; Ugurbil, Kâmil; Akçakaya, Mehmet

Yaman, Burhaneddin; Hosseini, Seyed Amir Hossein; Moeller, Steen; Ellermann, Jutta; Ugurbil, Kâmil; Akçakaya, Mehmet.

Afiliación

Yaman B; Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota, USA.
Hosseini SAH; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
Moeller S; Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota, USA.
Ellermann J; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
Ugurbil K; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
Akçakaya M; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.

Magn Reson Med ; 84(6): 3172-3191, 2020 12.

Article en En | MEDLINE | ID: mdl-32614100

Asunto(s)

Procesamiento de Imagen Asistido por Computador; Redes Neurales de la Computación; Humanos; Imagen por Resonancia Magnética; Física; Aprendizaje Automático Supervisado

Palabras clave

accelerated imaging; convolutional neural networks; deep learning; image reconstruction; parallel imaging; self-supervised learning

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Redes Neurales de la Computación Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

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