Multimodal-Conditioned Latent Diffusion Models for Spatiotemporal Brain MRI Forecasting
MC-LDM represents the first diffusion-based framework to leverage multimodal priors for MRI forecasting, and enables patient-specific trajectory generation that captures aspects of AD heterogeneity not observable from structural anatomy alone, bridging the gap between rich multimodal supervision and the strict constrai...
Antonio Scardace, Silvia Ingala, S. Battiato et al.
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