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

Title
Information Processing in Medical Imaging [electronic resource] : 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28–July 3, 2013. Proceedings / edited by James C. Gee, Sarang Joshi, Kilian M. Pohl, William M. Wells, Lilla Zöllei.
ISBN
9783642388682
Published
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Physical Description
XXIV, 782 p. 312 illus. digital.
Local Notes
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Summary
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 papers are organized in topical sections on connectivity, groupwise registration, neuro segmentation, statistical analysis, dynamic imaging, cortical surface registration, diffusion MRI, functional imaging, torso image analysis, and tract analysis.
Variant and related titles
Springer ebooks.
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Format
Books / Online
Language
English
Added to Catalog
July 01, 2013
Series
Lecture notes in computer science ; 7917.
Lecture Notes in Computer Science, 7917
Contents
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.
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