A latent diffusion model pretrained on large MRI datasets generates subject-specific gray matter images from functional connectivity data, reporting improved similarity scores and schizophrenia-related regional differences.
In the future, our model will be widely applied to explore and validate biomarkers associated with various brain disorders
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GM-LDM: Latent Diffusion Model for Brain Biomarker Identification through Functional Data-Driven Gray Matter Synthesis
A latent diffusion model pretrained on large MRI datasets generates subject-specific gray matter images from functional connectivity data, reporting improved similarity scores and schizophrenia-related regional differences.