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SR-UNet

imported

software/sr-unet

Customized implementation of the U-Net in PyTorch for super-resolving hyper-low-field MRI images.

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

SR-UNet project image
GitHub preview card for ExtremeViscent/SR-UNet. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
deep-learning · mri · pytorch · super-resolution · unet
Regulatory
unknown
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.

  • ddpm-ddrm-fmri-superresmri · pytorch · super-resolution

    Diffusion-based super-resolution for 7T fMRI-EPI, with an MR-realistic k-space degradation operator for DDRM

  • STRESSmri · pytorch · super-resolution

    Implementation of 'Stress: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning'

  • BTSC-UNet-ViTmri · pytorch · unet

    🧠 BTSC-UNet-ViT— a🚀brain tumor segmentation & classification system combining 🧩Vision Transformers (ViT) for tumor detection and 🎯 UNet for precise pixel-level segmentation from MRI scans.…

  • skull_strippingmri · pytorch · unet

    Skull stripping - Image processing project (PUTvision @ Poznan University of Technology, Institute of Robotics and Machine Intelligence)

  • truenetmri · pytorch · unet

    DL tool for white matter hyperintensities segmentation

  • UNet-for-Ultrasound-Super-Resolutionsuper-resolution · unet

    UNet Architecture for Medical Ultrasound Image Super-Resolution (SISR)

sources
  1. api.github.com/repos/ExtremeViscent/SR-UNet
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2023-04-05, 20 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/25.json→ .entries["sr-unet"]

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