Information Processing in Medical Imaging

DeformableModeling Using a 3D Boundary Representation with Quadratic Constraints on the Branching Structure of the Blum Skeleton.- Sparse Projections of Medical Images onto Manifolds.- Efficient 3D Multi-region Prostate MRI Segmentation Using DualOptimization.- Locality Preserving Non-negative Basis Learning with GraphEmbedding.- Hierarchical Discriminative Framework for Detecting TubularStructures in 3D Images.- Joint Fractional Segmentation and Multi-tensor Estimation in Diffusion MRI.- Retrospective Estimation of the Susceptibility Driven Field Map for Distortion Correction in Echo Planar Imaging.- Group-Wise Cortical Correspondence via Sulcal Curve-Constrained Entropy Minimization.- Diffeomorphic Spectral Matching of Cortical Surfaces.- The Non-Local Bootstrap - Estimation of Uncertainty in Diffusion MRI.- Beyond Crossing Fibers: Tractography Exploiting Sub-voxel Fibre Dispersion and Neighbourhood Structure.- Learning from M/EEG Data with Variable Brain Activation Delays.- Unsupervised Learning of Functional Network Dynamics in Resting State fMRI.- Cohort-Level Brain Mapping: Learning Cognitive Atoms to Single Out Specialized Regions.- Torso Image AnalysisRapid Multi-organ Segmentation Using Context Integration andDiscriminative Models.- Edge- and Detail-Preserving Sparse Image Representations for Deformable Registration of Chest MRI and CT Volumes.- Multimodal Surface Matching: Fast and Generalisable CorticalRegistration Using Discrete Optimisation.- Globally Optimal Cortical Surface Matching with Exact Landmark Correspondence.- Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration.- Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization.- Moving Frames for Heart Fiber Geometry.- Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions.- Multi-atlas Segmentation with Robust Label Transfer and LabelFusion.- AHierarchical Geodesic Model for Diffeomorphic Longitudinal Shape Analysis.- Active Testing Search for Point Cloud Matching.- Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT.- Adaptive Multi-modal Particle Filtering for Probabilistic White Matter Tractography.- Can T2 -Spectroscopy Resolve Submicrometer Axon Diameters?.- Dictionary Learning on the Manifold of Square Root Densities and Application to Reconstruction of Diffusion Propagator Fields.- Diseased Region Detection of Longitudinal Knee MRI Data.- Model Selection and Estimation of Multi-compartment Models in Diffusion MRI with a Rician Noise Model.- Bayesian Segmentation of Atrium Wall Using Globally-Optimal Graph Cuts on 3D Meshes.- Using Region Trajectories to Construct an Accurate and Efficient Polyaffine Transform Model.- Extracting Evolving Pathologies via Spectral Clustering.- Construction of Multi-scale Common Brain Networks Based on DICCCOL.- Rotation Invariant Features for HARDI.- Geodesic Shape Regression in the Framework of Currents.- Multinomial Probabilistic Fiber Representation for Connectivity DrivenClustering.- Reliable Selection of the Number of Fascicles in Diffusion Images by Estimation of the Generalization Error.- IDiff: Irrotational Diffeomorphisms for Computational Anatomy.- Joint Generative Modeling of Imaging and Genetics.