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Information Processing in Medical Imaging : 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings

フォーマット:
電子ブック
責任表示:
edited by Sebastien Ourselin, Daniel C. Alexander, Carl-Fredrik Westin, M. Jorge Cardoso
言語:
英語
出版情報:
Cham : Springer International Publishing : Imprint: Springer, 2015
形態:
XIX, 809 p. 304 illus
著者名:
シリーズ名:
Lecture Notes in Computer Science ; 9123
目次情報:
Probabilistic Graphical Models
Colocalization Estimation Using Graphical Modeling and Variational Bayesian Expectation Maximization: Towards a Parameter-Free Approach
Template-Based Multimodal Joint Generative Model of Brain Data
Generative Method to Discover Genetically Driven Image Biomarkers
MRI Reconstruction A Joint Acquisition-Estimation Framework for MR Phase Imaging
A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI
Accelerated High Spatial Resolution Diffusion-Weighted Imaging
Clustering
Joint Spectral Decomposition for the Parcellation of the Human Cerebral Cortex Using Resting-State fMRI
Joint Clustering and Component Analysis of Correspondenceless Point Sets: Application to Cardiac Statistical Modeling
Statistical Methods
Bootstrapped Permutation Test for Multiresponse Inference on Brain Behavior Associations
Controlling False Discovery Rate in Signal Space for Transformation-Invariant Thresholding of Statistical Maps
Longitudinal Analysis
Group Testing for Longitudinal Data
Spatio-Temporal Signatures to Predict Retinal Disease Recurrence
Microstructure Imaging
A Unifying Framework for Spatial and Temporal Diffusion in Diffusion MRI
Ground Truth for Diffusion MRI in Cancer: A Model-Based Investigation of a Novel Tissue-Mimetic Material
Shape Analysis
Anisotropic Distributions on Manifolds: Template Estimation and Most Probable Paths
A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Shapes
Multi-atlas Fusion Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data
Keypoint Transfer Segmentation
Fast Image Registration
Finite-Dimensional Lie Algebras for Fast Diffeomorphic Image Registration
Fast Optimal Transport Averaging of Neuroimaging Data
Deformation Models
Joint Morphometry of Fiber Tracts and Gray Matter Structures Using Double Diffeomorphisms
A Robust Probabilistic Model for Motion Layer Separation in X-ray Fluoroscopy
Poster Papers
Weighted Hashing with Multiple Cues for Cell-Level Analysis of Histopathological Images
Multiresolution Diffeomorphic Mapping for Cortical Surfaces
A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos
A Feature-Based Approach to Big Data Analysis of Medical Images
Joint Segmentation and Registration Through the Duality of Congealing and Maximum Likelihood Estimate
Self-Aligning Manifolds for Matching Disparate Medical Image Datasets
Leveraging EAP-Sparsity for Compressed Sensing of MS-HARDI in (k,q)-Space
Multi-stage Biomarker Models for Progression Estimation in Alzheimer’s Disease
Measuring Asymmetric Interactions in Resting State Brain Networks
Shape Classification Using Wasserstein Distance for Brain Morphometry Analysis
Temporal Trajectory and Progression Score Estimation from Voxelwise Longitudinal Imaging Measures: Application to Amyloid Imaging
Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks
Bodypart Recognition Using Multi-stage Deep Learning
Multi-subject Manifold Alignment of Functional Network Structures via Joint Diagonalization
Brain Transfer: Spectral Analysis of Cortical Surfaces and Functional Maps
Finding a Path for Segmentation Through Sequential Learning
Pancreatic Tumor Growth Prediction with Multiplicative Growth and Image-Derived Motion
IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI
Moving Frames for Heart Fiber Reconstruction
Detail-Preserving PET Reconstruction with Sparse Image Representation and Anatomical Priors
Automatic Detection of the Uterus and Fallopian Tube Junctions in Laparoscopic Images
A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data
Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework
Multi-scale Convolutional Neural Networks for Lung Nodule Classification
Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex
Illumination Compensation and Normalization Using Low-Rank Decomposition of Multispectral Images in Dermatology
Efficient Gaussian Process-Based Modelling and Prediction of Image Time Series
A Simulation Framework for Quantitative Validation of Artefact Correction in Diffusion MRI
Towards a Quantified Network Portrait of a Population
Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration
AxTract: Microstructure-Driven Tractography Based on the Ensemble Average Propagator
Sampling from Determinantal Point Processes for Scalable Manifold Learning
Model-Based Estimation of Microscopic Anisotropy in Macroscopically Isotropic Substrates Using Diffusion MRI
Multiple Orderings of Events in Disease Progression
Construction of An Unbiased Spatio-Temporal Atlas of the Tongue During Speech
Tree-Encoded Conditional Random Fields for Image Synthesis
Simultaneous Longitudinal Registration with Group-Wise Similarity Prior
Spatially Weighted Principal Component Regression for High-Dimensional Prediction
Coupled Stable Overlapping Replicator Dynamics for Multimodal Brain Subnetwork Identification
Joint 6D k-q Space Compressed Sensing for Accelerated High Angular Resolution Diffusion MRI
Functional Nonlinear Mixed Effects Models for Longitudinal Image Data
Probabilistic Graphical Models
Colocalization Estimation Using Graphical Modeling and Variational Bayesian Expectation Maximization: Towards a Parameter-Free Approach
Template-Based Multimodal Joint Generative Model of Brain Data
Generative Method to Discover Genetically Driven Image Biomarkers
MRI Reconstruction A Joint Acquisition-Estimation Framework for MR Phase Imaging
A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI
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書誌ID:
LB00386294
ISBN:
9783319199917 [3319199919]  CiNii Books  Webcat Plus  Google Books
9783319199924 [3319199927]  CiNii Books  Webcat Plus  Google Books
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