Multimodal Data Fusion Using Source Separation: Application to Medical Imaging

The joint independent component analysis (jICA) and the transposed independent vector analysis (tIVA) models are two effective solutions based on blind source separation (BSS) that enable fusion of data from multiple modalities in a symmetric and fully multivariate manner. The previous paper in this special issue discusses the properties and the main issues in the implementation of these two model...