Multimodal Brain Image Analysis: Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1-5, 2012, Proceedings 2012 ed. [Minkštas viršelis]

Multimodal Neuroimaging Predictors for Cognitive Performance Using
Structured Sparse Learning.- Combining DTI and MRI for the Automated
Detection of Alzheimers 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.