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sycomore

imported

software/sycomore

MRI simulation toolkit

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

sycomore project image
GitHub preview card for lamyj/sycomore. 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
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
bloch-simulation · configuration-mo · diffusion · epg · extended-phase-graphs · magnetization-transfer · mri · mri-simulation-toolkit
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.

  • abdominal_qsm_phantommri · mri-simulation-toolkit

    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…

  • erwinmagnetization-transfer · mri

    Quantitative MRI toolbox in Python

  • BlochSim.jlbloch-simulation · mri

    An implementation of the Bloch-McConnell equations for simulating MR spin dynamics.

  • torchsimbloch-simulation · mri

    A feature-rich MR simulator supporting massive parallelization on GPU and automatic differentiation.

  • feelmribloch-simulation · mri

    FEelMRI is an open-source, cross-platform library designed to generate synthetic MR images from FE simulations.

  • D2Diffdiffusion · mri

    Official Pytorch Implementation for D2Diff: A Dual-Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis [Accepted at MICCAI2025]

sources
  1. api.github.com/repos/lamyj/sycomore
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-03-22, 37 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/30.json→ .entries["sycomore"]

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