Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning -- Combining DTI and MRI for the Automated Detection of Alzheimer's Disease Using a Large European Multicenter Dataset -- Genetics of Path Lengths in Brain Connectivity Networks: HARDI-Based Maps in 457 Adults -- Connectivity Network Breakdown Predicts Imminent Volumetric Atrophy in Early Mild Cognitive Impairment.-Deconfounding the Effects of Resting State Activity on Task Activation Detection in fMRI -- Hyperbolic Ricci Flow and Its Application in Studying Lateral Ventricle Morphometry -- Do We Really Need Robust and Alternative Inference Methods for Brain MRI -- Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation -- How Many Templates Does It Take for a Good Segmentation?: Error Analysis in Multiatlas Segmentation as a Function of Database Size -- A Generative Model for Probabilistic Label Fusion of Multimodal Data -- Spatial Normalization of Diffusion Tensor Images with Voxel-Wise Reconstruction of the Diffusion Gradient Direction -- Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases.-  Comparative Characterisation of Susceptibility Weighted MRI for Brain White Matter Lesions in MS -- Constructing Fiber Atlases for Functional ROIs via fMRI-Guided DTI Image Registration -- Structural Feature Selection for Connectivity Network-Based MCI Diagnosis.-  Groupwise Segmentation Improves Neuroimaging Classification Accuracy -- DWI Denoising Using Spatial, Angular, and Radiometric Filtering.-  MRI Estimation of T1 Relaxation Time Using a Constrained Optimization Algorithm -- Robust Cerebral Blood Flow Map Estimation in Arterial Spin Labeling. .