icon-lab/SelfRDB
Official PyTorch implementation of SelfRDB, a diffusion bridge model for multi-modal medical image synthesis
This project helps medical professionals generate realistic synthetic images of one MRI modality (like T1-weighted) from another (like T2-weighted). You provide existing MRI scans, and it produces new images as if they were captured with a different modality, which is useful for research, training, or when certain scan types are unavailable. This tool is for medical researchers and imaging specialists working with MRI data.
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Use this if you need to create synthetic medical images to supplement existing datasets or to explore how a patient's anatomy would appear under different MRI scanning sequences.
Not ideal if you require direct clinical diagnostic tools or validated software for patient care, as this is a research implementation for image synthesis.
Stars
75
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5
Language
Python
License
MIT
Category
Last pushed
Oct 05, 2025
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0
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