DeepMRI
importedsoftware/deepmri-geopi1
Pytorch implementation of RAKI, k-space interpolation of MRI data
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/geopi1/DeepMRI
- Documentation
- unknown
- Tags
- interpolation · kspace · kspace-deep-learning · mri · mri-reconstruction · mridata · super-resolution
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- GIRFReco.jlmri · mri-reconstruction
An Open-Source End-to-End Pipeline for Spiral Magnetic Resonance Image (MRI) Reconstruction in Julia
- mri-nufftmri · mri-reconstruction
Doing non-Cartesian MR Imaging has never been so easy.
- sigmanetmri · mri-reconstruction
Sigmanet: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction,
- TRONmri · mri-reconstruction
World's fastest GPU-accelerated radial Fast Fourier Transform
- mialsuperresolutiontoolkitmri · super-resolution
The Medical Image Analysis Laboratory Super-Resolution ToolKit (MIALSRTK) consists of a set of C++ and Python processing and workflow tools necessary to perform motion-robust super-resolution fetal…
- fastmri-reproducible-benchmarkmri · mri-reconstruction
Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.
- api.github.com/repos/geopi1/DeepMRIretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-07-08, 39 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 →
/v1/entries/47.json→ .entries["deepmri-geopi1"]
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