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MRiLab

imported

software/mrilab

A Numerical Magnetic Resonance Imaging (MRI) Simulation Platform

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

MRiLab project image
GitHub preview card for leoliuf/MRiLab. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
BSD-2-Clause(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
artificial-intelligence · biomedical-engineering · data-simulation · gpu-acceleration · magnetic-resonance-imaging · medical-imaging · medical-physics
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.

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

  • pyCoilGenmagnetic-resonance-imaging · medical-physics

    Magnetic Field Coil Generator for Python, ported from CoilGen

  • Brain-IDdata-simulation

    [ECCV 2024] Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging

  • PortPyartificial-intelligence · medical-physics

    Opensource Python project for cancer radiation treatment planning [AAPM'23]

  • deep-dicommedical-imaging · medical-physics

    Preprocess and standardize DICOM data for deep learning applications in radiotherapy.

  • Gatemedical-imaging · medical-physics

    Official public repository of Gate

sources
  1. api.github.com/repos/leoliuf/MRiLab
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2021-02-10, 250 stars, license reported as BSD-2-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/4.json→ .entries["mrilab"]

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