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

EAN (ISBN-13): 9783642388682
Date de parution: 2013
Editeur: Springer Berlin Heidelberg

Livre dans la base de données depuis 2017-01-27T17:58:02+01:00 (Paris)
Page de détail modifiée en dernier sur 2023-10-30T10:54:15+01:00 (Paris)
ISBN/EAN: 9783642388682

ISBN - Autres types d'écriture:
978-3-642-38868-2
Autres types d'écriture et termes associés:
Auteur du livre: lilla, william james, wells, joshi

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Données de l'éditeur

Auteur: James C. Gee; Sarang Joshi; Kilian M. Pohl; William M. Wells; Lilla Zöllei
Titre: Image Processing, Computer Vision, Pattern Recognition, and Graphics; Lecture Notes in Computer Science; Information Processing in Medical Imaging - 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28--July 3, 2013, Proceedings
Editeur: Springer; Springer Berlin
782 Pages
Date de parution: 2013-06-25
Berlin; Heidelberg; DE
Langue: Anglais
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XXIV, 782 p. 312 illus.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Anwendungs-Software; Maschinelles Sehen, Bildverstehen; Verstehen; 3D images; image registration; image segmentation; magnetic resonance imaging; ultrasound images; C; Computer Vision; Automated Pattern Recognition; Health Informatics; Radiology; Artificial Intelligence; Probability and Statistics in Computer Science; Computer Science; Mustererkennung; Computeranwendungen in Industrie und Technologie; Bildgebende Verfahren; Künstliche Intelligenz; Mathematik für Informatiker; Wahrscheinlichkeitsrechnung und Statistik; BC

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.- 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 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.- 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 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.
Conference proceedings of the International Conference on Information Processing in Medical Imaging, IPMI 2013