Articles liés à Information Processing in Medical Imaging: 23rd Internationa...
Information Processing in Medical Imaging: 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28--July 3, 2013, Proceedings - Couverture souple
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Synopsis
Matched Signal Detection on Graphs: Theory and Application to Brain Network Classification.- Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models.- Feature-Based Alignment of Volumetric Multi-modal Images.- Bayesian Estimation of Regularization and Atlas Building in Diffeomorphic Image Registration.- Gradient Competition Anisotropy for Centerline Extraction and Segmentation of Spinal Cords.- Automated Segmentation of the Cerebellar Lobules Using Boundary Specific Classification and Evolution.- Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees.- Predicting Cognitive Data from Medical Images Using Sparse Linear Regression.- A Multiple Hypothesis Based Method for Particle Tracking and Its Extension for Cell Segmentation.- A Multiple Model Probability Hypothesis Density Tracker for Time-Lapse Cell Microscopy Sequences.- Multi-layer Deformation Estimation for Fluoroscopic Imaging.- Fiber Connectivity Integrated Brain Activation Detection.- Diffeomorphic Metric Mapping of Hybrid Diffusion Imaging Based on BFOR Signal Basis.- Hyperbolic Harmonic Brain Surface Registration with Curvature-Based Landmark Matching.- Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry.- Segmenting the Papillary Muscles and the Trabeculae from High Resolution Cardiac CT through Restoration of Topological Handles.- Data-Driven Interactive 3D Medical Image Segmentation Based on Structured Patch Model.- Sparse Deformable Models with Application to Cardiac Motion Analysis.- A Longitudinal Functional Analysis Framework for Analysis of White Matter Tract Statistics.- Groupwise Simultaneous Manifold Alignment for High-Resolution Dynamic MR Imaging of Respiratory Motion.- Conformal Mapping via Metric Optimization with Application for Cortical Label Fusion.- A Novel Sparse Group Gaussian Graphical Model for Functional Connectivity Estimation.- Joint Co-Segmentation and Registration of 3D Ultrasound Images.- Deformable Modeling 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 Dual Optimization.- Locality Preserving Non-negative Basis Learning with Graph Embedding.- Hierarchical Discriminative Framework for Detecting Tubular Structures 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 Analysis Rapid Multi-organ Segmentation Using Context Integration and Discriminative Models.- Edge- and Detail-Preserving Sparse Image Representations for Deformable Registration of Chest MRI and CT Volumes.- Multimodal Surface Matching: Fast and Generalisable Cortical Registration 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 Label Fusion.- A Hierarchic
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