This book constitutes the proceedings of the 24th International Conference on Information Processing in Medical Imaging, IPMI 2015, held at the Sabhal Mor Ostaig College on the Isle of Skye, Scotland, UK, in June/July 2015.The 22 full papers and 41 poster papers presented in this volume were carefully reviewed and selected from 195 submissions. They were organized in topical sections named: probabilistic graphical models; MRI reconstruction; clustering; statistical methods; longitudinal analysis; microstructure imaging; shape analysis; multi-atlas fusion; fast image registration; deformation models; and the poster session.

Produktinformation

Utgivningsdatum2015-07-06
Mått155 x 235 x 45 mm
Vikt1 235 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor809
FörlagSpringer International Publishing AG
ISBN9783319199917

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Medicinsk bildbehandling inom Medicin

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 LearningFramework.- 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.

Mer från samma författare

Del 8545

Biomedical Image Registration

Sebastien Ourselin, Marc Modat

Häftad, 2014

689 kr

Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells - Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016, Häftad

Del 9900

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016

Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells

Häftad, 2016

739 kr

Del 9901

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016

Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells

Häftad, 2016

739 kr

Del 9902

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016

Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells

Häftad, 2016

739 kr

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007

Nicholas Ayache, Sebastien Ourselin, Anthony Maeder

Häftad, 2007

2 209 kr

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007

Nicholas Ayache, Sebastien Ourselin, Anthony Maeder

Häftad, 2007

1 479 kr

Functional Imaging and Modeling of the Heart

Sebastien Ourselin, Daniel Rueckert, Nicolas Smith

Häftad, 2013

739 kr

Mer från samma serie

Del 16477

Passive and Active Measurement

Simone Ferlin-Reiter, Romain Fontugne, Johanna Ullrich

Häftad, 2026

1 409 kr

Agent Mediated Electronic Commerce II

Alexandros Moukas, Carles Sierra, Fredrik Ygge

Häftad, 2000

739 kr

Del 15427

Internet of Things – ICIOT 2024

Shunli Zhang, Liang-Jie Zhang

Häftad, 2024

819 kr

COLOG-88

Per Martin-Löf, Grigori Mints

Häftad, 1990

719 kr

Compiler Construction

Albert Cohen

Häftad, 2014

709 kr

Del 16375

Interactive Storytelling

María Cecilia Reyes, Frank Nack

Häftad, 2025

719 kr

Theory of Cryptography

Yehuda Lindell

Häftad, 2014

739 kr

Computer Science Logic

Dirk van Dalen, Marc Bezem

Häftad, 1997

739 kr

Reliable Software Technology – Ada-Europe 2005

Tullio Vardanega, Andy Wellings

Häftad, 2005

739 kr

Spyridon Bakas, Emily Dennis, Mehdi Astaraki, Ujjwal Baid, Gian Marco Conte, Martha Foltyn-Dumitru, Zhifan Jiang, Dominic Labella, Marie-Christin Metz, Udunna Anazodo, Maria Correia de Verdier, Florian Kofler, Hongwei Bran Li, Marius George Linguraru, Nazanin Maleki - Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, Häftad

Del 16376

Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries

Spyridon Bakas, Emily Dennis, Mehdi Astaraki, Ujjwal Baid, Gian Marco Conte, Martha Foltyn-Dumitru, Zhifan Jiang, Dominic Labella, Marie-Christin Metz, Udunna Anazodo, Maria Correia de Verdier, Florian Kofler, Hongwei Bran Li, Marius George Linguraru, Nazanin Maleki

Häftad, 2026

1 209 kr

Du kanske också är intresserad av

Information Processing in Medical Imaging

Attila Kuba, Attila Kuba, Martin Samal, Andrew Todd-Pokropek

Häftad, 1999

739 kr

Information Processing in Medical Imaging

Gary E. Christensen, Milan Sonka

Häftad, 2005

1 479 kr

Information Processing in Medical Imaging

Chris Taylor, J. Alison Noble

Häftad, 2003

1 429 kr

Information Processing in Medical Imaging

Frank Deconinck

Häftad, 2011

739 kr

Del 13939

Information Processing in Medical Imaging

Alejandro Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab

Häftad, 2023

1 619 kr

Del 15829

Information Processing in Medical Imaging

Ipek Oguz, Shaoting Zhang, Dimitris N. Metaxas

Häftad, 2025

1 179 kr

Information Processing in Medical Imaging

Nico Karssemeijer, Boudewijn Lelieveldt

Häftad, 2007

1 479 kr

Information Processing in Medical Imaging

Alan C.F. Colchester, David J. Hawkes

Häftad, 1991

1 479 kr

Information Processing in Medical Imaging

Yves Bizais, Christian Barillot, Robert Di Paola

Inbunden, 1995

1 479 kr

Information Processing in Medical Imaging

Yves Bizais, Christian Barillot, Robert Di Paola

Häftad, 2011

1 479 kr

Del 9123 i serien 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

Häftad, Engelska, 2015

AvSebastien Ourselin,Daniel C. Alexander,Carl-Fredrik Westin,M. Jorge Cardoso

739 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Finns i fler format (10)

Inbunden

1 479 kr

Skickas inom 10-15 vardagar

Häftad

1 429 kr

Skickas inom 10-15 vardagar

Häftad

1 619 kr

Skickas inom 10-15 vardagar

Häftad

1 619 kr

Skickas inom 10-15 vardagar

Häftad

1 099 kr

Skickas inom 5-8 vardagar

Häftad

1 179 kr

Skickas inom 5-8 vardagar

Häftad

739 kr

Skickas inom 10-15 vardagar

Häftad

1 479 kr

Skickas inom 10-15 vardagar

Häftad

1 429 kr

Skickas inom 10-15 vardagar

Häftad

739 kr

Skickas inom 10-15 vardagar

Produktinformation

Utgivningsdatum2015-07-06
Mått155 x 235 x 45 mm
Vikt1 235 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor809
FörlagSpringer International Publishing AG
ISBN9783319199917

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Medicinsk bildbehandling inom Medicin

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 LearningFramework.- 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.