compressed-sensing
importedsoftware/compressed-sensing
Code to reproduce the results from the thesis: "Compressed Sensing - Theoretical Foundations & Application in Magnetic Resonance Imaging"
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/mgreissl/compressed-sensing
- Documentation
- unknown
- Tags
- compressed-sensing · magnetic-resonance-imaging · restricted-isometry-property · smapling-theory
- 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.
- Deep-MRI-Reconstructioncompressed-sensing
Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
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General phase regularized MRI reconstruction using phase cycling
- sigpycompressed-sensing
Python package for signal processing, with emphasis on iterative methods
- TinnitusReconstructor.jlcompressed-sensing
Reverse correlation using linear regression and compressed sensing for uncovering the psychoacoustic tinnitus spectrum
- adell-mrimagnetic-resonance-imaging
A deep learning model and training/testing/inference library in PyTorch for segmentation, classification, object detection and self-supervised learning using radiology data.
- ccnetmagnetic-resonance-imaging
Official repository of "Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models"
- api.github.com/repos/mgreissl/compressed-sensingretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-07-06, 5 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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