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3DRDN-CycleGAN

imported

software/3drdn-cyclegan

Deep CNN for performing 3D super resolution on CT/MRI scans

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
3d · ct-scans · cyclegan · deep-learning · densenet · gan · image-to-image-translation · mri
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.

  • pFLSynthimage-to-image-translation · mri

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  • DicomToMesh3d · ct-scans

    A command line tool to transform a DICOM volume into a 3d surface mesh (obj, stl or ply). Several mesh processing routines can be enabled, such as mesh reduction, smoothing or cleaning. Works on…

  • 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.

  • PCRLv2ct-scans · mri

    An official implementation of PCRLv2 (pre-training and fine-tuning code are included).

  • Atlas-GANgan · mri

    [ICCV 2021] Generative Adversarial Registration for Improved Conditional Deformable Templates

  • cs-mri-gangan · mri

    Structure preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks (CVPRW 2020)

sources
  1. api.github.com/repos/omagdy/3DRDN-CycleGAN
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-07-10, 34 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/17.json→ .entries["3drdn-cyclegan"]

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