clinical-super-mri
importedprotocols/clinical-super-mri
[Frontiers in Comp. Neuro.] Deep Attention Super-Resolution of Brain Magnetic Resonance Images Acquired Under Clinical Protocols
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Protocols & Guidelines
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/bryanlimy/clinical-super-mri
- Documentation
- unknown
- Tags
- attention-models · brain-mri · deep-learning · mri-super-resolution · pytorch · super-resolution
- 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.
- All-In-One-Medical-Image-Restoration-via-Task-Adaptive-Routingmri-super-resolution
[MICCAI 2024] All-In-One Medical Image Restoration via Task-Adaptive Routing (AMIR).
- BrainHubbrain-mri
[ECCV 2024] BrainHub: Multimodal Brain Understanding Benchmark
- CNN_design_for_ADbrain-mri
Code for "Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs"
- deepbrainbrain-mri
Deep Learning tools for brain medical images
- MOTFMbrain-mri
Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality
- nilearnbrain-mri
Machine learning for NeuroImaging in Python
- api.github.com/repos/bryanlimy/clinical-super-mriretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-08-25, 17 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
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