StanfordMIMI/DDM2
[ICLR2023] Official repository of DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
DDM2 helps researchers and clinicians enhance the quality of Diffusion MRI (dMRI) scans by removing noise. It takes raw, noisy dMRI image data as input and outputs a cleaner, denoised version, improving the clarity for subsequent analysis or diagnosis. This tool is ideal for neuroimaging specialists, radiologists, and researchers working with diffusion-weighted imaging data.
190 stars. No commits in the last 6 months.
Use this if you need to improve the signal-to-noise ratio in your Diffusion MRI scans without relying on external clean reference data.
Not ideal if you are looking for a plug-and-play solution that does not require command-line execution or familiarity with Python scripts for setup and training.
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190
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26
Language
Python
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Last pushed
Jan 21, 2024
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