pFLSynth
importedsoftware/pflsynth
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis (pFLSynth)
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- icon-lab
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/icon-lab/pFLSynth
- Documentation
- unknown
- Tags
- deep-learning · federated-learning · image-synthesis · image-to-image-translation · mri · personalization · pytorch
- 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.
- 3DRDN-CycleGANimage-to-image-translation · mri
Deep CNN for performing 3D super resolution on CT/MRI scans
- FL-MRCMfederated-learning · pytorch
Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning
- Multichannel-input-pixelwise-regression-u-netsimage-synthesis · pytorch
Pytorch implementation of Multichannel input pixelwise regression u-nets for medical image estimation with 3 applications in magnetic resonance imaging
- Brain-IDimage-synthesis · mri
[ECCV 2024] Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
- crossmoda2023image-synthesis · mri
🏆1st place in the MICCAI challenge CrossMoDA 2023
- im2im-uqimage-to-image-translation · mri
Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.
- api.github.com/repos/icon-lab/pFLSynthretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-01-23, 28 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/25.json→ .entries["pflsynth"]
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