openmedical/registry
← registry

mri-preprocessing-pipeline

imported

software/mri-preprocessing-pipeline

MRI preprocessing pipeline

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

mri-preprocessing-pipeline project image
GitHub preview card for LREN-CHUV/mri-preprocessing-pipeline. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
AGPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
LREN-CHUV
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
data-factory · mri · neuroimaging · neuroscience · spm
Regulatory
unknown
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.

  • airflow-imaging-pluginsdata-factory · mri · neuroimaging · neuroscience · spm

    Set of plugins helping to work with imaging data in Airflow.

  • SPM.jlmri · neuroimaging · neuroscience · spm

    SPM in Julia

  • clinicaneuroimaging · neuroscience · spm

    Software platform for clinical neuroimaging studies

  • spm-docsneuroimaging · neuroscience · spm

    SPM Documentation

  • spm-hospital-preprocneuroimaging · neuroscience · spm

    A MATLAB toolbox for various preprocessing operations (registration, reslicing, denoising, segmentation, etc.) of neuroimaging data. Builds on the SPM12 software.

  • data-trackingdata-factory

    This project contains scripts to extract metadata from DICOM files, NIFTI files and spreadsheets, and import them into a database.

sources
  1. api.github.com/repos/LREN-CHUV/mri-preprocessing-pipeline
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2018-05-04, 4 stars, license reported as AGPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/43.json→ .entries["mri-preprocessing-pipeline"]

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