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SUMMARY:Machine Learning for Accelerated MR Image Reconstruction - Kerstin
  Hammernik\, Imperial College London
DTSTART:20191203T170000Z
DTEND:20191203T180000Z
UID:TALK135766@talks.cam.ac.uk
CONTACT:Yury Korolev
DESCRIPTION:In the past years\, we have seen enormous developments of lear
 ning-based image reconstruction to push the acceleration factor of MR acqu
 isitions to new limits.\nIn this talk\, I provide an overview of how machi
 ne learning can be used for accelerated MR image reconstruction and discus
 s selected examples\, including Variational Networks and Σ-net\, in more 
 detail. Finally\, we discuss open challenges regarding training data and e
 valuation.
LOCATION:MR 14\, Centre for Mathematical Sciences
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