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...
| Corporate Author: | |
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| Other Authors: | , , , , |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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| Edition: | 1st ed. 2013. |
| Series: | Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
7917 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-642-38868-2 |
Table of 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.