NMRI
importedsoftware/nmri
2D Fourier Transform of Nuclear Magnetic Resonance Imaging raw data, 3D visualization with VTK
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/aromanro/NMRI
- Documentation
- unknown
- Tags
- computational-physics · fft · fftw · medical-image-computing · medical-image-processing · medical-imaging · mfc · nmri
- 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.
- Cancer-Detection-from-Microscopic-Tissue-Images-with-Deep-Learningmedical-image-computing · medical-image-processing · medical-imaging
Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels
- modelhubmedical-image-computing · medical-image-processing · medical-imaging
A collection of deep learning models with a unified API.
- AUDITmedical-image-computing · medical-image-processing
AUDIT - Analysis & Evaluation Dashboard of Artificial Intelligence
- cornerstone_widgetmedical-image-computing · medical-imaging
A jupyter widget for the cornerstone library to make showing flashy images with nice tools easier.
- MITKmedical-image-computing · medical-imaging
The Medical Imaging Interaction Toolkit.
- neuritemedical-image-computing · medical-imaging
Neural networks toolbox focused on medical image analysis
- api.github.com/repos/aromanro/NMRIretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-12-30, 20 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/33.json→ .entries["nmri"]
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