openmedical/registry
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MRI-education-resources

imported

software/mri-education-resources

Resources for learning the principles of magnetic resonance imaging (MRI)

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
LarsonLab
Country
unknown
Homepage
larsonlab.github.io/MRI-education-resources
Repository
github.com/LarsonLab/MRI-education-resources
Documentation
unknown
Tags
magnetic-resonance-imaging · mri
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.

  • pyCoilGenmagnetic-resonance-imaging · mri

    Magnetic Field Coil Generator for Python, ported from CoilGen

  • qMRLabmagnetic-resonance-imaging · mri

    Quantitative MRI Made Easy with qMRLab: MRI software for data Simulation, analysis and visualization

  • tensorflow-mrimagnetic-resonance-imaging · mri

    A Library of TensorFlow Operators for Computational MRI

  • OSI² MRI (Utrecht ultra-low-field build)mri · magnetic-resonance-imaging

    Build documentation for an open-source ultra-low-field MRI scanner constructed at Utrecht University, following the Open Source Imaging Initiative design.

  • react-fmrimagnetic-resonance-imaging · mri

    REACT: Receptor-Enriched Analysis of functional Connectivity by Targets

  • compressed-sensingmagnetic-resonance-imaging

    Code to reproduce the results from the thesis: "Compressed Sensing - Theoretical Foundations & Application in Magnetic Resonance Imaging"

sources
  1. api.github.com/repos/LarsonLab/MRI-education-resources
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-03-24, 181 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/62.json→ .entries["mri-education-resources"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.