fMRI-Diffusion generates synthetic ROI-level fMRI time series via a temporal transformer diffusion model with supervised pretraining, improving MDD diagnostic accuracy by up to 3.7 percentage points over prior FC-matrix synthesis methods on the REST-meta-MDD dataset.
Dsam: A deep learning framework for analyzing temporal and spatial dynamics in brain networks.Medical Image Analysis, page 103462, 2025
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fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis
fMRI-Diffusion generates synthetic ROI-level fMRI time series via a temporal transformer diffusion model with supervised pretraining, improving MDD diagnostic accuracy by up to 3.7 percentage points over prior FC-matrix synthesis methods on the REST-meta-MDD dataset.