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pFLSynth

imported

software/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.

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
icon-lab
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
deep-learning · federated-learning · image-synthesis · image-to-image-translation · mri · personalization · pytorch
Regulatory
unknown
built by · 2

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.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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  • FL-MRCMfederated-learning · pytorch

    Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning

  • 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.

sources
  1. api.github.com/repos/icon-lab/pFLSynth
    retrieved 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.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/25.json→ .entries["pflsynth"]

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