zaccharieramzi / fastmri-reproducible-benchmark

Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.

Date Created 2019-06-21 (5 years ago)

Commits 423 (last one 7 months ago)

Stargazers 150 (0 this week)

Watchers 3 (0 this week)

Forks 50

License mit

Ranking

RepositoryStats indexes 565,279 repositories, of these zaccharieramzi/fastmri-reproducible-benchmark is ranked #214,343 (62nd percentile) for total stargazers, and #413,827 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #5,000/16,285.

zaccharieramzi/fastmri-reproducible-benchmark is also tagged with popular topics, for these it's ranked: tensorflow (#1,229/2214), neural-network (#560/1072), convolutional-neural-networks (#257/529)

Other Information

zaccharieramzi/fastmri-reproducible-benchmark has 1 open pull request on Github, 84 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 19 open issues and 61 closed issues.

Homepage URL: https://fastmri.org/leaderboards

All Topics

mri fastmri tensorflow neural-network fastmri-dataset fastmri-challenge mri-reconstruction convolutional-neural-networks unrolled-reconstruction-algorithm

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3 commits on the default branch (master) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-09-17 @ 05:57pm, id: 193113083 / R_kgDOC4Kr-w