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pygrappa

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software/pygrappa

Python implementations of GRAPPA-like algorithms.

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

pygrappa project image
GitHub preview card for mckib2/pygrappa. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
grappa · grog · image-reconstruction · mri · parallel-imaging · python · sense · sms
Regulatory
unknown
built by · 1

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.

  • sigmanetmri · parallel-imaging · sense

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

  • grappagrappa · mri

    A repository to experiment on GRAPPA, with a TF backend. It also features some experiments on deep versions of GRAPPA

  • NonCrtGRAPPAgrappa · mri

    A generalized GRAPPA algorithm that works for arbitrary (non-Cartesian) readout trajectories

  • Tepnasense

    Local-first physiological analyzers — oximetry, HRV, CGM, ECG . No network, no CDNs, no accounts.

  • Toolbox for computational magnetic resonance imaging, providing calibration and iterative reconstruction methods.

  • Deep-MRI-Reconstructionimage-reconstruction · mri

    Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

sources
  1. api.github.com/repos/mckib2/pygrappa
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-09-22, 81 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 →

machine-readable

/v1/entries/41.json→ .entries["pygrappa"]

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