Information processing in medical imaging : 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28-July 3, 2015, Proceedings /: 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28-July 3, 2015, Proceedings. (2015)

• Record Type: Book
• Other Titles: IPMI 2015
• Further Information: Note: Edited by Sebastien Ourselin, Daniel C. Alexander, Carl-Fredrik Westin, M. Jorge Cardoso.
• Editors: Ourselin, Sébastien; Alexander, Daniel C; Westin, Carl-Fredrik; Cardoso, M. Jorge
• Other Names: International Conference on Information Processing in Medical Imaging, 24th
• Contents: 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.
• Publisher Details: Cham : Springer
• Publication Date: 2015
• Extent: 1 online resource (xix, 809 pages), illustrations
• Subjects: 616.07/54; Computer science; Diagnostic imaging -- Data processing -- Congresses; Diagnostic imaging -- Data processing; Applied Physics; Engineering & Applied Sciences; Computers -- Computer Vision & Pattern Recognition; Medical -- General; Medical -- Biochemistry; Computers -- Intelligence (AI) & Semantics; Computers -- Mathematical & Statistical Software; Pattern recognition; Health & safety aspects of IT; Radiology; Artificial intelligence; Maths for computer scientists; Computer vision; Optical pattern recognition; Medical records_xData processing; Radiology, Medical; Artificial intelligence; Computers -- Computer Graphics; Image processing; Electronic books; Conference papers and proceedings; Electronic books
• Languages: English
• ISBNs: 9783319199924; 3319199927; 3319199919; 9783319199917
• Related ISBNs: 9783319199917
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed July 1, 2015).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.