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Information Processing in Medical Imaging [[electronic resource] ] : 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings / / edited by Sebastien Ourselin, Daniel C. Alexander, Carl-Fredrik Westin, M. Jorge Cardoso
| Information Processing in Medical Imaging [[electronic resource] ] : 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings / / edited by Sebastien Ourselin, Daniel C. Alexander, Carl-Fredrik Westin, M. Jorge Cardoso |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XIX, 809 p. 304 illus.) |
| Disciplina | 616.07540285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Health informatics Radiology Artificial intelligence Mathematical statistics Image Processing and Computer Vision Pattern Recognition Health Informatics Imaging / Radiology Artificial Intelligence Probability and Statistics in Computer Science |
| ISBN | 3-319-19992-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNISA-996198520203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Information Processing in Medical Imaging : 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings / / edited by Sebastien Ourselin, Daniel C. Alexander, Carl-Fredrik Westin, M. Jorge Cardoso
| Information Processing in Medical Imaging : 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings / / edited by Sebastien Ourselin, Daniel C. Alexander, Carl-Fredrik Westin, M. Jorge Cardoso |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XIX, 809 p. 304 illus.) |
| Disciplina | 616.07540285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Health informatics Radiology Artificial intelligence Mathematical statistics Image Processing and Computer Vision Pattern Recognition Health Informatics Imaging / Radiology Artificial Intelligence Probability and Statistics in Computer Science |
| ISBN | 3-319-19992-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910483551303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Multimodal Brain Image Analysis [[electronic resource] ] : Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings / / edited by Li Shen, Tianming Liu, Pew-Thian Yap, Heng Huang, Dinggang Shen, Carl-Fredrik Westin
| Multimodal Brain Image Analysis [[electronic resource] ] : Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings / / edited by Li Shen, Tianming Liu, Pew-Thian Yap, Heng Huang, Dinggang Shen, Carl-Fredrik Westin |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XII, 260 p. 110 illus.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Optical data processing Computer graphics Artificial intelligence Algorithms Radiology Pattern Recognition Image Processing and Computer Vision Computer Graphics Artificial Intelligence Algorithm Analysis and Problem Complexity Imaging / Radiology |
| ISBN | 3-319-02126-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analysis -- Methodologies -- Algorithms -- Software systems -- Validation approaches -- Benchmark datasets -- Neuroscience -- Clinical applications. |
| Record Nr. | UNISA-996466014003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Multimodal Brain Image Analysis : Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings / / edited by Li Shen, Tianming Liu, Pew-Thian Yap, Heng Huang, Dinggang Shen, Carl-Fredrik Westin
| Multimodal Brain Image Analysis : Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings / / edited by Li Shen, Tianming Liu, Pew-Thian Yap, Heng Huang, Dinggang Shen, Carl-Fredrik Westin |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XII, 260 p. 110 illus.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Optical data processing Computer graphics Artificial intelligence Algorithms Radiology Pattern Recognition Image Processing and Computer Vision Computer Graphics Artificial Intelligence Algorithm Analysis and Problem Complexity Imaging / Radiology |
| ISBN | 3-319-02126-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analysis -- Methodologies -- Algorithms -- Software systems -- Validation approaches -- Benchmark datasets -- Neuroscience -- Clinical applications. |
| Record Nr. | UNINA-9910483674803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Multimodal Brain Image Analysis [[electronic resource] ] : Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1-5, 2012, Proceedings / / edited by Pew-Thian Yap, Tianming Liu, Dinggang Shen, Carl-Fredrik Westin, Li Shen
| Multimodal Brain Image Analysis [[electronic resource] ] : Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1-5, 2012, Proceedings / / edited by Pew-Thian Yap, Tianming Liu, Dinggang Shen, Carl-Fredrik Westin, Li Shen |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XII, 226 p. 77 illus.) |
| Disciplina | 616.8/04757 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Optical data processing Computer graphics Artificial intelligence Algorithms Radiology Pattern Recognition Image Processing and Computer Vision Computer Graphics Artificial Intelligence Algorithm Analysis and Problem Complexity Imaging / Radiology |
| ISBN | 3-642-33530-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning -- Combining DTI and MRI for the Automated Detection of Alzheimer’s Disease Using a Large European Multicenter Dataset -- Genetics of Path Lengths in Brain Connectivity Networks: HARDI-Based Maps in 457 Adults -- Connectivity Network Breakdown Predicts Imminent Volumetric Atrophy in Early Mild Cognitive Impairment.-Deconfounding the Effects of Resting State Activity on Task Activation Detection in fMRI -- Hyperbolic Ricci Flow and Its Application in Studying Lateral Ventricle Morphometry -- Do We Really Need Robust and Alternative Inference Methods for Brain MRI -- Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation -- How Many Templates Does It Take for a Good Segmentation?: Error Analysis in Multiatlas Segmentation as a Function of Database Size -- A Generative Model for Probabilistic Label Fusion of Multimodal Data -- Spatial Normalization of Diffusion Tensor Images with Voxel-Wise Reconstruction of the Diffusion Gradient Direction -- Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases.- Comparative Characterisation of Susceptibility Weighted MRI for Brain White Matter Lesions in MS -- Constructing Fiber Atlases for Functional ROIs via fMRI-Guided DTI Image Registration -- Structural Feature Selection for Connectivity Network-Based MCI Diagnosis.- Groupwise Segmentation Improves Neuroimaging Classification Accuracy -- DWI Denoising Using Spatial, Angular, and Radiometric Filtering.- MRI Estimation of T1 Relaxation Time Using a Constrained Optimization Algorithm -- Robust Cerebral Blood Flow Map Estimation in Arterial Spin Labeling. . |
| Record Nr. | UNISA-996465848803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy [[electronic resource] ] : 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer
| Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy [[electronic resource] ] : 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XVII, 230 p. 113 illus., 91 illus. in color.) |
| Disciplina | 006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Computers Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Information Systems and Communication Service |
| ISBN | 3-030-33226-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | MBIA -- Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm -- An Edge Enhanced SRGAN for MRI Super Resolution in Slice-selection Direction -- Exploring Functional Connectivity Biomarker in Autism Using Group-wise Sparse Representation -- Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding -- Mapping the spatio-temporal functional coherence in the resting brain -- Species-Preserved Structural Connections Revealed by Sparse Tensor CCA -- Identification of Abnormal Cortical 3-hinge Folding Patterns on Autism Spectral Brains -- Exploring Brain Hemodynamic Response Patterns Via Deep Recurrent Autoencoder -- 3D Convolutional Long-short Term Memory Network for Spatiotemporal Modeling of fMRI Data -- Biological Knowledge Guided Deep Neural Network for Genotype-Phenotype Association Study -- Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network -- CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation -- BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes -- Structural Similarity based Anatomical and Functional Brain Imaging Fusion -- Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution -- Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank -- MFCA -- Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models -- 3D mapping of serial histology sections with anomalies using a novel robust deformable registration algorithm -- Spatiotemporal Modeling for Image Time Series with Appearance Change: Application to Early Brain Development -- Surface Foliation Based Brain Morphometry Analysis -- Mixture Probabilistic Principal Geodesic Analysis -- A Geodesic Mixed Effects Model in Kendall's Shape Space -- An as-invariant-as-possible GL+(3)-based Statistical Shape Model. |
| Record Nr. | UNISA-996466177003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy : 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer
| Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy : 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XVII, 230 p. 113 illus., 91 illus. in color.) |
| Disciplina |
006.37
616.804754 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Computers Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Information Systems and Communication Service |
| ISBN | 3-030-33226-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | MBIA -- Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm -- An Edge Enhanced SRGAN for MRI Super Resolution in Slice-selection Direction -- Exploring Functional Connectivity Biomarker in Autism Using Group-wise Sparse Representation -- Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding -- Mapping the spatio-temporal functional coherence in the resting brain -- Species-Preserved Structural Connections Revealed by Sparse Tensor CCA -- Identification of Abnormal Cortical 3-hinge Folding Patterns on Autism Spectral Brains -- Exploring Brain Hemodynamic Response Patterns Via Deep Recurrent Autoencoder -- 3D Convolutional Long-short Term Memory Network for Spatiotemporal Modeling of fMRI Data -- Biological Knowledge Guided Deep Neural Network for Genotype-Phenotype Association Study -- Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network -- CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation -- BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes -- Structural Similarity based Anatomical and Functional Brain Imaging Fusion -- Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution -- Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank -- MFCA -- Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models -- 3D mapping of serial histology sections with anomalies using a novel robust deformable registration algorithm -- Spatiotemporal Modeling for Image Time Series with Appearance Change: Application to Early Brain Development -- Surface Foliation Based Brain Morphometry Analysis -- Mixture Probabilistic Principal Geodesic Analysis -- A Geodesic Mixed Effects Model in Kendall's Shape Space -- An as-invariant-as-possible GL+(3)-based Statistical Shape Model. |
| Record Nr. | UNINA-9910349273403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data / / edited by Carl-Fredrik Westin, Anna Vilanova, Bernhard Burgeth
| Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data / / edited by Carl-Fredrik Westin, Anna Vilanova, Bernhard Burgeth |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (346 p.) |
| Disciplina | 515.63 |
| Collana | Mathematics and Visualization |
| Soggetto topico |
Mathematics
Visualization Partial differential equations Differential geometry Optical data processing Computer graphics Mathematical physics Partial Differential Equations Differential Geometry Computer Imaging, Vision, Pattern Recognition and Graphics Computer Graphics Theoretical, Mathematical and Computational Physics |
| ISBN | 3-642-54301-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Tensor Data Visualization: Top Challenges in the Visualization of Engineering Tensor Fields: M Hlawitschka et al -- Tensor Invariants and Glyph Design: A. Kratz et al -- Part II: Representation and Processing of Higher-order Descriptors: Monomial Phase: A Matrix Representation of Local Phase: H. Knutsson et al -- Order Based Morphology for Colour Images via Matrix Fields: B. Burgeth et al -- Sharpening Fibers in Diffusion Weighted MRI via Erosion: T.C.J. Dela Haije et al -- Part III: Higher Order Tensors and Riemannian-Finsler Geometry: Higher-Order Tensors in Diffusion Imaging: Thomas Schultz et al -- 4th Order Symmetric Tensors and Positive ADC Modelling: A. Ghosh et al -- Riemann-Finsler Geometry for Diffusion Weighted Magnetic Resonance Imaging: L.Florack et al -- Riemann-Finsler Multi-Valued Geodesic Tractography for HARDI: N.Sepasian et al -- Part IV: Tensor Signal Processing: Kernel-based Morphometry of Diffusion Tensor Images: M. Ingalhalikar et al -- The Estimation of Free-Water Corrected Diffusion Tensors: O. Pasternak et al -- Techniques for Computing Fabric Tensors: A Review: R. Moreno et al -- Part V: Applications of tensor processing: Tensors in Geometry Processing: E. Zhang -- Preliminary findings in diagnostic prediction of schizophrenia using diffusion tensor imaging: Y.Rathi et al -- A System for Combined Visualization of EEG and Diffusion Tensor Imaging Tractography Data: A. Wiebel et al. |
| Record Nr. | UNINA-9910299992203321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||