XNAT-PIC
importeddata/xnat-pic
XNAT-PIC consist of MRI2DICOM, a Magnetic Resonance Imaging (MRI) converter from ParaVision file format to DICOM standard and XNAT-PIC Uploader to import multimodal DICOM image datasets to XNAT.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/szullino/XNAT-PIC
- Documentation
- unknown
- Tags
- dicom · image-processing · preclinical-imaging · xnat · xnat-pic
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- mousemorphimage-processing · preclinical-imaging
Tools for MRI mouse brain morphometry
- Dicom-Viewerdicom · image-processing
An application displaying 2D/3D Dicom
- dicom2jpgdicom · image-processing
A simple Python function tool to convert DICOM files into jpg/png/bmp/tiff files and numpy.ndarray
- DICOMautomatondicom · image-processing
A multipurpose tool for medical physics.
- DicomToolboxMatlabdicom · image-processing
Import, visualize, and extract image features from CT and RT Dose DICOM files in MATLAB.
- ecvldicom · image-processing
European Computer Vision Library (ECVL). A general-purpose computer vision library developed to support healthcare use cases within the DeepHealth project, with the aim of facilitating the…
- api.github.com/repos/szullino/XNAT-PICretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-07-30, 6 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/47.json→ .entries["xnat-pic"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.