brAIn-science/CoCoLIT
[AAAI, 2026] Official implementation of "CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis".
This project helps medical researchers and neurologists generate simulated Amyloid PET scans directly from T1-weighted MRI images. It takes an MRI scan as input and produces a synthetic Florbetapir SUVR map, which indicates amyloid plaque accumulation in the brain. This is useful for researchers studying neurodegenerative diseases like Alzheimer's who may not have access to costly PET scans for all subjects.
Use this if you need to quickly obtain estimated amyloid PET imaging data from existing MRI scans for research purposes, without needing actual PET scans.
Not ideal if you require diagnostic-grade imaging for clinical decision-making or commercial applications.
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Last pushed
Mar 10, 2026
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