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i-RIM applied to the fastMRI challenge

Image and Video Processing 2019-10-22 v1 Computer Vision and Pattern Recognition Machine Learning
Authors: Patrick Putzky , Dimitrios Karkalousos , Jonas Teuwen , Nikita Miriakov , Bart Bakker , Matthan Caan , Max Welling
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Abstract

We, team AImsterdam, summarize our submission to the fastMRI challenge (Zbontar et al., 2018). Our approach builds on recent advances in invertible learning to infer models as presented in Putzky and Welling (2019). Both, our single-coil and our multi-coil model share the same basic architecture.

Cite

@article{arxiv.1910.08952,
  title  = {i-RIM applied to the fastMRI challenge},
  author = {Patrick Putzky and Dimitrios Karkalousos and Jonas Teuwen and Nikita Miriakov and Bart Bakker and Matthan Caan and Max Welling},
  journal= {arXiv preprint arXiv:1910.08952},
  year   = {2019}
}

Comments

Abstract submitted to the fastMRI challenge

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