arXiv cs.CV
· Papers
Latent graph encoding of multimodal neuroimaging features with generative AI architectures
arXiv:2607.07027v1 Announce Type: cross Abstract: While generative models enable encoding of complex neuroimaging data for feature generation and reconstruction, developing optimal architectural frameworks with appropriate encoding and latent space processes is crucial for studying structural and functional properties