OCMDemo
importeddevices/ocmdemo
This is demo code for the paper “Hybrid MRI-ultrasound acquisitions, and scannerless real-time imaging”.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Devices & Hardware
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/fpreiswerk/OCMDemo
- Documentation
- unknown
- Tags
- kernel-density · machine-learning · medical-image-computing · medical-imaging · mri · ultrasound
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- FractMorphmedical-image-computing · mri
A 3D Fractional Fourier-Based Multi-Domain Transformer for Deformable Image Registration
- Cancer-Detection-from-Microscopic-Tissue-Images-with-Deep-Learningmedical-image-computing · medical-imaging
Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels
- 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.
- modelhubmedical-image-computing · medical-imaging
A collection of deep learning models with a unified API.
- neuritemedical-image-computing · medical-imaging
Neural networks toolbox focused on medical image analysis
- api.github.com/repos/fpreiswerk/OCMDemoretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2018-03-03, 9 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 Apache-2.0, because GitHub's detector does not recognise open hardware licences.
Not yet verified by a human. Correct this record →
/v1/entries/33.json→ .entries["ocmdemo"]
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