Multimodal and multicontrast image fusion via deep generative models

•Deep learning architecture for neuroimaging reconstruction.•Efficient convolutional neural networks based on separable convolutions.•Multimodality learning and interpretability of latent embeddings.•Clustering individuals phenotypes with structural multimodal brain features.