openmedical/registry
← registry

phantominator

imported

software/phantominator

Generate numerical phantoms.

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

phantominator project image
GitHub preview card for mckib2/phantominator. 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
Homepage
unknown
Documentation
unknown
Tags
image-reconstruction · mri · phantom · shepp-logan
Regulatory
unknown
built by · 3

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.

  • abdominal_qsm_phantommri · phantom

    Abdominal QSM Phantom is a Julia toolbox for simulating and analyzing abdominal QSM. The toolbox enables creation of synthetic susceptibility maps, R2* maps, fieldmaps, and simulation of complex…

  • brainweb-dlmri · phantom

    Brainweb Dataset downloader

  • A Python tool for simulating and visualizing MRS data

  • 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

  • DynamicRadCineMRIimage-reconstruction · mri

    Implementation of an iterative network for image reconstruction in 2D radial cardiac cine MRI.

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

    Machine-imported from GitHub search. Last push 2023-04-16, 43 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/45.json→ .entries["phantominator"]

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