i-RIM applied to the fastMRI challenge
2019-10-20Code Available0· sign in to hype
Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan Caan, Max Welling
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/pputzky/irim_fastMRIpytorch★ 0
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.