Multimodal image fusion via deep generative models
Giovanna Maria Dimitri, Simeon Spasov, Andrea Duggento, Luca Passamonti, Píetro Lió, Nicola Toschi
This paper develops a deep learning architecture for fusing multiple 3D neuroimaging modalities into informative latent embeddings, demonstrating their ability to cluster subjects into separable phenotypic strata.
bioRxiv · Mar 8, 2021 · PreprintNeuroscience