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fastmri-reproducible-benchmark

imported

data/fastmri-reproducible-benchmark

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

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Data & Standards
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
fastmri.org/leaderboards
Repository
github.com/zaccharieramzi/fastmri-reproducible-benchmark
Documentation
unknown
Tags
convolutional-neural-networks · fastmri · fastmri-challenge · fastmri-dataset · mri · mri-reconstruction · neural-network · tensorflow
Regulatory
unknown
built by · 4

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • sigmanetfastmri · fastmri-challenge · mri · mri-reconstruction

    Sigmanet: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction,

  • directfastmri-challenge · mri-reconstruction

    Deep learning framework for MRI reconstruction

  • mri-nufftmri · mri-reconstruction · tensorflow

    Doing non-Cartesian MR Imaging has never been so easy.

  • irim_fastMRIfastmri · mri

    i-RIM applied to the fastMRI challenge data.

  • DeepMRImri · mri-reconstruction

    Pytorch implementation of RAKI, k-space interpolation of MRI data

  • GIRFReco.jlmri · mri-reconstruction

    An Open-Source End-to-End Pipeline for Spiral Magnetic Resonance Image (MRI) Reconstruction in Julia

sources
  1. api.github.com/repos/zaccharieramzi/fastmri-reproducible-benchmark
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-02-24, 165 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

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/v1/entries/0.json→ .entries["fastmri-reproducible-benchmark"]

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