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

EAN (ISBN-13): 9783319199917
ISBN (ISBN-10): 3319199919
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2015
Herausgeber: Springer International Publishing

Buch in der Datenbank seit 2015-07-29T23:06:01+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-01-29T13:45:41+01:00 (Berlin)
ISBN/EAN: 9783319199917

ISBN - alternative Schreibweisen:
3-319-19991-9, 978-3-319-19991-7
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: jörg alexander, cardoso, carl springer, oursel
Titel des Buches: information processing, isle skye, information graphics, drei

---

Daten vom Verlag:

Autor/in: Sebastien Ourselin; Daniel C. Alexander; Carl-Fredrik Westin; M. Jorge Cardoso
Titel: Image Processing, Computer Vision, Pattern Recognition, and Graphics; Lecture Notes in Computer Science; Information Processing in Medical Imaging - 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings
Verlag: Springer; Springer International Publishing
809 Seiten
Erscheinungsjahr: 2015-07-06
Cham; CH
Gedruckt / Hergestellt in Niederlande.
Gewicht: 12,336 kg
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XIX, 809 p. 304 illus.

BC; Image Processing and Computer Vision; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Maschinelles Sehen, Bildverstehen; Verstehen; 3D images; bayesian analysis; computational biology; continuous optimization; differential equations; discrete optimization; graph theory; image registration; image segmentation; imaging; kernel methods; machine learning; magnetic resonance imaging; population genetics; probabilistic algorithms; probabilistic inference problems; probabilistic representations; semi-supervised learning; ultrasound images; unsupervised learning; Pattern Recognition; Health Informatics; Imaging / Radiology; Artificial Intelligence; Probability and Statistics in Computer Science; Computer Vision; Automated Pattern Recognition; Health Informatics; Radiology; Artificial Intelligence; Probability and Statistics in Computer Science; Mustererkennung; Computeranwendungen in Industrie und Technologie; Bildgebende Verfahren; Künstliche Intelligenz; Mathematik für Informatiker; Wahrscheinlichkeitsrechnung und Statistik; EA

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.