DeepMRI
importedsoftware/deepmri
The code for paper 'DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution'
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/CedricChing/DeepMRI
- Documentation
- unknown
- Tags
- deeplearning · mri · paper · pmri · reconstruction
- 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.
- All-About-the-GANpaper · reconstruction
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
- Paint4Brainsdeeplearning · mri
A brain MRI segmentation tool that provides accurate robust segmentation of problematic brain regions across the neurodegenerative spectrum. The methodology is generalisable to perform well with the…
- Co-VeGANmri · reconstruction
Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction
- ELF-Diffmri · reconstruction
The official code of ELF-Diff
- EPTImri · reconstruction
EPTI (Echo Planar Time-resolved Imaging) raw-data processing, image reconstruction and data preprocessing.
- FedGATmri · reconstruction
Official implementation of FedGAT: Generative Autoregressive Transformers for Model-Agnostic Federated MRI Reconstruction (https://arxiv.org/abs/2502.04521)
- api.github.com/repos/CedricChing/DeepMRIretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2020-01-14, 49 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 →
/v1/entries/15.json→ .entries["deepmri"]
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