OAI-MRI-TKR
importedsoftware/oai-mri-tkr
Prediction of total knee replacement using deep learning analysis of knee MRI
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- AGPL-3.0(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- denizlab
- Country
- unknown
- Repository
- github.com/denizlab/OAI-MRI-TKR
- Documentation
- unknown
- Tags
- deep-learning · knee · knee-osteoarthritis-prediction · mri · osteoarthritis · tkr-outcome
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- 2019_IWOAI_Challengeknee · mri · osteoarthritis
Knee MRI cartilage segmentation model used in 2019 IWOAI segmentation challenge
- OAI_analysis_2osteoarthritis
Image analysis approaches to analyze the OAI magnetic resonance images
This GitHub repository was created for research focusing on the development of deep learning-based segmentation models for fetal brain tissue.
Code for NeuroImage: Clinical paper "Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network."
Deep CNN for performing 3D super resolution on CT/MRI scans
Abdominal QSM Phantom is a Julia toolbox for simulating and analyzing abdominal QSM. The toolbox enables creation of synthetic susceptibility maps, R2* maps, fieldmaps, and simulation of complex…
- api.github.com/repos/denizlab/OAI-MRI-TKRretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2025-03-19, 8 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 →
/v1/entries/3.json→ .entries["oai-mri-tkr"]
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