openmedical/registry
← registry

clinical-super-mri

imported

protocols/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.

clinical-super-mri project image
GitHub preview card for bryanlimy/clinical-super-mri. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Protocols & Guidelines
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
frontiersin.org/articles/10.3389/fncom.2022.887633/
Repository
github.com/bryanlimy/clinical-super-mri
Documentation
unknown
Tags
attention-models · brain-mri · deep-learning · mri-super-resolution · pytorch · super-resolution
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.

  • 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).

  • DARTSbrain-mri · pytorch

    Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation

  • mindGlidebrain-mri · pytorch

    Brain MRI segmentation for multiple sclerosis — any sequence, any quality. pip install mindglide

  • niftiaibrain-mri · pytorch

    Train neural nets on 3D images (e.g. MRIs) 🧠

  • ddpm-ddrm-fmri-superrespytorch · super-resolution

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

  • SR-UNetpytorch · super-resolution

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

sources
  1. api.github.com/repos/bryanlimy/clinical-super-mri
    retrieved 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 →

machine-readable

/v1/entries/21.json→ .entries["clinical-super-mri"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.