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Information Processing in Medical Imaging 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28--July 3, 2013, Proceedings /

This book constitutes the proceedings of the 23rd International Conference on Information Processing in Medical Imaging, IPMI 2013, held in Asilomar in June/July 2013. The 26 full papers and 38 poster papers presented in this volume were carefully reviewed and selected from 199 submissions. The pape...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Gee, James C. (Editor ), Joshi, Sarang (Editor ), Pohl, Kilian M. (Editor ), Wells, William M. (Editor ), Zöllei, Lilla (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 7917
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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 Hierarchical 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 Driven Clustering
  • 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.