Brain-MRI-Autoencoder
importedsoftware/brain-mri-autoencoder
Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- hdl.handle.net/10609/127059
- Documentation
- unknown
- Tags
- autoencoder · deep-convolutional-autoencoders · deep-learning · mri-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.
- aestetikautoencoder
AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data
- Brain-Tumor-Image-Segmentation-For-Magnetic-Resonance-Imagingmri-reconstruction
Magnetic resonance imaging (MRI) is an advanced imaging technique that is used to observe a variety of diseases and parts of the body..neural networks can analyze these images individually (as a…
- cytoselfautoencoder
Self-supervised models for encoding protein localization patterns from microscopy images
- DeepMRImri-reconstruction
Pytorch implementation of RAKI, k-space interpolation of MRI data
- directmri-reconstruction
Deep learning framework for MRI reconstruction
- GIRFReco.jlmri-reconstruction
An Open-Source End-to-End Pipeline for Spiral Magnetic Resonance Image (MRI) Reconstruction in Julia
- api.github.com/repos/AdrianArnaiz/Brain-MRI-Autoencoderretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-06-01, 39 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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