Papers
arxiv:2010.07290
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge
Published on Oct 15, 2020
Authors:
Abstract
XPDNet demonstrates superior MRI reconstruction performance by leveraging MRI and computer vision techniques, ranking second in the fastMRI 2020 challenge.
AI-generated summary
We present a new neural network, the XPDNet, for MRI reconstruction from periodically under-sampled multi-coil data. We inform the design of this network by taking best practices from MRI reconstruction and computer vision. We show that this network can achieve state-of-the-art reconstruction results, as shown by its ranking of second in the fastMRI 2020 challenge.
Get this paper in your agent:
hf papers read 2010.07290 Don't have the latest CLI?
curl -LsSf https://hf.co/cli/install.sh | bash Models citing this paper 5
Browse 5 models citing this paperDatasets citing this paper 0
No dataset linking this paper
Cite arxiv.org/abs/2010.07290 in a dataset README.md to link it from this page.
Spaces citing this paper 0
No Space linking this paper
Cite arxiv.org/abs/2010.07290 in a Space README.md to link it from this page.
Collections including this paper 0
No Collection including this paper
Add this paper to a collection to link it from this page.