… toward the integration and correlation of several modalities to … Correlated Multimodal Imaging
(CMI) gathers information … in preclinical imaging (Hybrid Imaging) and Correlated Light and …

… diagnostics, and slowly but surely the overarching field of Correlative Multimodality Imaging
(CMI) is taking its place as an established technique and a research area in its own right. …

… In this section, we modify the standard CDL problem to learn the correlated features in
multimodal image pairs. The standard CDL provides a pair of dictionaries D 1 and D 2 , used to …

… for multimodal chemical imaging in characterization of a rich sample spectrum in a correlated
… of multimodal imaging for the case in which one of the imaging modes has zero resolution. …

… Correlation Analysis (RCCA) model that extracts latent, correlated multimodal features while
enhancing correlation … We applied RCCA to gray matter and white matter images from 7874 …

… Our experiments tend to show that assuming a functional correlation between certain
multimodal images is not critical. Even if this is an approximation, notably in the CT-MR case (see […

… Specifically, we found negative correlations between positive symptoms and the multimodal,
cortical thickness, and task-related brain activation variates. The neuroimaging literature to …

… In this study, we aimed at evaluating the use of multimodal imaging to define tumor
components in heterogeneous intrinsic brain tumors. 1H-MRS, PWI and 18 F-FET-PET in …

… Several techniques have been proposed for modelling non-overlapping signal correlations
… , or imaging data 5,6,7 . In the context of correlation modelling in multimodal imaging analysis…

… We investigated neural correlates of consciousness in these patients compared with
patients with disorders of consciousness and healthy controls, by multimodal imaging. …