A Bayesian method constructs credible hyperrectangles from posteriors to compare high-dimensional correlation matrices in brain connectivity analysis, with theoretical guarantees under the inverse-Wishart model.
Magnetic Resonance in Medicine34(4), 537–541 (1995)
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FM-fMRI applies event-conditioned flow matching to synthesize task-based fMRI ROI time series from rsfMRI, showing better spectral, connectivity, and distributional match than diffusion, GAN, and VAE baselines while improving downstream autism classification on augmented data.
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Credible rectangles for high-dimensional posterior comparison
A Bayesian method constructs credible hyperrectangles from posteriors to compare high-dimensional correlation matrices in brain connectivity analysis, with theoretical guarantees under the inverse-Wishart model.
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FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis
FM-fMRI applies event-conditioned flow matching to synthesize task-based fMRI ROI time series from rsfMRI, showing better spectral, connectivity, and distributional match than diffusion, GAN, and VAE baselines while improving downstream autism classification on augmented data.