A densely interconnected network for deep learning accelerated MRI.

Journal: Magma (New York, N.Y.)
Published Date: Sep 14, 2022

Abstract

OBJECTIVE: To improve accelerated MRI reconstruction through a densely connected cascading deep learning reconstruction framework.

Authors

  • Jon AndrĂ© Ottesen
    Computational Radiology & Artificial Intelligence (CRAI) Unit, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway. jon.a.ottesen@gmail.com.
  • Matthan W A Caan
    Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands.
  • Inge Rasmus Groote
  • Atle Bjornerud

Keywords

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