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DCEMRI.jl

imported

software/dcemri

World's fastest DCE MRI analysis toolkit

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

DCEMRI.jl project image
GitHub preview card for davidssmith/DCEMRI.jl. 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
Repository
github.com/davidssmith/DCEMRI.jl
Documentation
unknown
Tags
analysis · cancer-imaging-research · dce-mri · julia · mat-files · medical-image-processing · medical-imaging
Regulatory
unknown
built by · 5

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.

  • ccnetdce-mri · medical-imaging

    Official repository of "Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models"

  • foundation-cancer-image-biomarkercancer-imaging-research · medical-imaging

    [Nature Machine Intelligence 2024] Code and evaluation repository for the paper

  • pyradiomicscancer-imaging-research · medical-imaging

    Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

  • PySERAcancer-imaging-research · medical-imaging

    PySERA – Open-Source Standardized Python Library for Automated, Scalable, and Reproducible Handcrafted and Deep Radiomics

  • mama-synthdce-mri

    MAMA-SYNTH Challenge @MICCAI 2026 and Deep-Breath 2026.

  • dcmqicancer-imaging-research

    dcmqi (DICOM for Quantitative Imaging) is a C++ library for conversion between imaging research formats and the standard DICOM representation for image analysis results

sources
  1. api.github.com/repos/davidssmith/DCEMRI.jl
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2021-09-07, 40 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as MIT, because GitHub's detector does not recognise open hardware licences.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/47.json→ .entries["dcemri"]

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