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Biomedical Image Registration [[electronic resource] ] : Second International Workshop, WBIR 2003, Philadelphia, PA, USA, June 23-24, 2003, Revised Papers / / edited by James C. Gee, J.B. Antoine Maintz, Michael W. Vannier
| Biomedical Image Registration [[electronic resource] ] : Second International Workshop, WBIR 2003, Philadelphia, PA, USA, June 23-24, 2003, Revised Papers / / edited by James C. Gee, J.B. Antoine Maintz, Michael W. Vannier |
| Edizione | [1st ed. 2003.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
| Descrizione fisica | 1 online resource (XIV, 410 p.) |
| Disciplina | 616.0754 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Radiology
Optical data processing Health informatics Information storage and retrieval Pattern recognition Bioinformatics Imaging / Radiology Image Processing and Computer Vision Health Informatics Information Storage and Retrieval Pattern Recognition |
| ISBN | 3-540-39701-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Regularization -- New Vector Field Regularization Techniques for Nonrigid Image Registration -- Free-Form Registration Using Mutual Information and Curvature Regularization -- Formulation and Evaluation of Variational Curve Matching with Prior Constraints -- Novel -- Normalized Mutual Information Based PET-MR Registration Using K-Means Clustering and Shading Correction -- Computational Anatomy and Implicit Object Representation: A Level Set Approach -- Constructing Data-Driven Optimal Representations for Iterative Pairwise Non-rigid Registration -- Brain -- Non-rigid Registration of Serial Intra-operative Images for Automatic Brain Shift Estimation -- Inverse Consistent Image Registration of MR Brain Scans: Handedness in Normal Adult Males -- Simultaneous Population Based Image Alignment for Template Free Spatial Normalisation of Brain Anatomy -- Piecewise Affine -- Piecewise Affine Registration of Biological Images -- Elastic Registration with Partial Data -- Information Theoretic -- Point Similarity Measure Based on Mutual Information -- An Information Theoretic Approach for Non-rigid Image Registration Using Voxel Class Probabilities -- Spatial Information in Entropy-Based Image Registration -- Interventional -- Computerized Atlas-Guided Positioning of Deep Brain Stimulators: A Feasibility Study -- Evaluation of Intensity-Based 2D-3D Spine Image Registration Using Clinical Gold-Standard Data -- Correction of C-Arm Projection Matrices by 3D-2D Rigid Registration of CT-Images Using Mutual Information -- Applications -- Image Registration for Distortion Correction in Diffusion Tensor Imaging -- Rigid Registration of Echoplanar and Conventional Magnetic Resonance Images by Minimizing the Kullback-Leibler Distance -- Non-rigid Spatio-Temporal Alignment of 4D Cardiac MR Images -- Invited Papers -- Digital Anatomy Atlas and Its Registration to MRI, fMRI, PET: The Past Presents a Future -- 2D-3D Registration for Interventional Procedures: A Clinical Perspective -- Posters -- A Comprehensive Approach for Multi-channel Image Registration -- Free Form Deformations Guided by Gradient Vector Flow: A Surface Registration Method in Thoracic and Abdominal PET-CT Applications -- High-Dimensional Multi-modal Image Registration -- A New Technique for Multi-modal 3D Image Registration -- Multimodal Registration Using Patch Algorithm -- FLIRT: A Flexible Image Registration Toolbox -- Narrow Band to Image Registration in the Insight Toolkit -- Non-rigid Registration of Mammograms Obtained with Variable Breast Compression: A Phantom Study -- An Alternating-Constraints Algorithm for Volume-Preserving Non-rigid Registration of Contrast-Enhanced MR Breast Images -- Efficient 3D-3D Vascular Registration Based on Multiple Orthogonal 2D Projections -- Semi-automatic Image Registration of MRI to CT Data of the Prostate Using Gold Markers as Fiducials -- Image Registration for Interventional MRI Guided Procedures: Interpolation Methods, Similarity Measurements, and Applications to the Prostate -- A Protocol for Optimization-Independent Similarity Measure Evaluation -- Medial Node Correspondences towards Automated Registration -- Mouse Brain Spatial Normalization: The Challenge of Sparse Data -- Towards Physically-Sound Registration Using Object-Specific Properties for Regularization -- Characterizing Shape Differences between Phantom Image Populations via Multivariate Statistical Analysis of Inverse Consistent Transformations -- A Gradient-Informed Robust Motion Correction Method for FMRI -- Clinical Applications from Head to Toe Using a Semiautomatic 3D Inter/Intramodality Fusion Technique -- A Parallel Implementation of Non-rigid Registration Using a Volumetric Biomechanical Model. |
| Record Nr. | UNISA-996466162103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Biomedical Image Registration : Second International Workshop, WBIR 2003, Philadelphia, PA, USA, June 23-24, 2003, Revised Papers / / edited by James C. Gee, J.B. Antoine Maintz, Michael W. Vannier
| Biomedical Image Registration : Second International Workshop, WBIR 2003, Philadelphia, PA, USA, June 23-24, 2003, Revised Papers / / edited by James C. Gee, J.B. Antoine Maintz, Michael W. Vannier |
| Edizione | [1st ed. 2003.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
| Descrizione fisica | 1 online resource (XIV, 410 p.) |
| Disciplina | 616.0754 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Radiology
Optical data processing Health informatics Information storage and retrieval Pattern recognition Bioinformatics Imaging / Radiology Image Processing and Computer Vision Health Informatics Information Storage and Retrieval Pattern Recognition |
| ISBN | 3-540-39701-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Regularization -- New Vector Field Regularization Techniques for Nonrigid Image Registration -- Free-Form Registration Using Mutual Information and Curvature Regularization -- Formulation and Evaluation of Variational Curve Matching with Prior Constraints -- Novel -- Normalized Mutual Information Based PET-MR Registration Using K-Means Clustering and Shading Correction -- Computational Anatomy and Implicit Object Representation: A Level Set Approach -- Constructing Data-Driven Optimal Representations for Iterative Pairwise Non-rigid Registration -- Brain -- Non-rigid Registration of Serial Intra-operative Images for Automatic Brain Shift Estimation -- Inverse Consistent Image Registration of MR Brain Scans: Handedness in Normal Adult Males -- Simultaneous Population Based Image Alignment for Template Free Spatial Normalisation of Brain Anatomy -- Piecewise Affine -- Piecewise Affine Registration of Biological Images -- Elastic Registration with Partial Data -- Information Theoretic -- Point Similarity Measure Based on Mutual Information -- An Information Theoretic Approach for Non-rigid Image Registration Using Voxel Class Probabilities -- Spatial Information in Entropy-Based Image Registration -- Interventional -- Computerized Atlas-Guided Positioning of Deep Brain Stimulators: A Feasibility Study -- Evaluation of Intensity-Based 2D-3D Spine Image Registration Using Clinical Gold-Standard Data -- Correction of C-Arm Projection Matrices by 3D-2D Rigid Registration of CT-Images Using Mutual Information -- Applications -- Image Registration for Distortion Correction in Diffusion Tensor Imaging -- Rigid Registration of Echoplanar and Conventional Magnetic Resonance Images by Minimizing the Kullback-Leibler Distance -- Non-rigid Spatio-Temporal Alignment of 4D Cardiac MR Images -- Invited Papers -- Digital Anatomy Atlas and Its Registration to MRI, fMRI, PET: The Past Presents a Future -- 2D-3D Registration for Interventional Procedures: A Clinical Perspective -- Posters -- A Comprehensive Approach for Multi-channel Image Registration -- Free Form Deformations Guided by Gradient Vector Flow: A Surface Registration Method in Thoracic and Abdominal PET-CT Applications -- High-Dimensional Multi-modal Image Registration -- A New Technique for Multi-modal 3D Image Registration -- Multimodal Registration Using Patch Algorithm -- FLIRT: A Flexible Image Registration Toolbox -- Narrow Band to Image Registration in the Insight Toolkit -- Non-rigid Registration of Mammograms Obtained with Variable Breast Compression: A Phantom Study -- An Alternating-Constraints Algorithm for Volume-Preserving Non-rigid Registration of Contrast-Enhanced MR Breast Images -- Efficient 3D-3D Vascular Registration Based on Multiple Orthogonal 2D Projections -- Semi-automatic Image Registration of MRI to CT Data of the Prostate Using Gold Markers as Fiducials -- Image Registration for Interventional MRI Guided Procedures: Interpolation Methods, Similarity Measurements, and Applications to the Prostate -- A Protocol for Optimization-Independent Similarity Measure Evaluation -- Medial Node Correspondences towards Automated Registration -- Mouse Brain Spatial Normalization: The Challenge of Sparse Data -- Towards Physically-Sound Registration Using Object-Specific Properties for Regularization -- Characterizing Shape Differences between Phantom Image Populations via Multivariate Statistical Analysis of Inverse Consistent Transformations -- A Gradient-Informed Robust Motion Correction Method for FMRI -- Clinical Applications from Head to Toe Using a Semiautomatic 3D Inter/Intramodality Fusion Technique -- A Parallel Implementation of Non-rigid Registration Using a Volumetric Biomechanical Model. |
| Record Nr. | UNINA-9910768174903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Information Processing in Medical Imaging [[electronic resource] ] : 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019, Proceedings / / edited by Albert C. S. Chung, James C. Gee, Paul A. Yushkevich, Siqi Bao
| Information Processing in Medical Imaging [[electronic resource] ] : 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019, Proceedings / / edited by Albert C. S. Chung, James C. Gee, Paul A. Yushkevich, Siqi Bao |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XIX, 884 p. 517 illus., 331 illus. in color.) |
| Disciplina |
006.6
006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Artificial intelligence Computer science—Mathematics Health informatics Computers Operating systems (Computers) Image Processing and Computer Vision Artificial Intelligence Mathematics of Computing Health Informatics Models and Principles Operating Systems |
| ISBN | 3-030-20351-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Segmentation -- A Bayesian Neural Net to Segment Images with Uncertainty Estimates and Good Calibration -- Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology -- Semi-Supervised and Task-Driven Data Augmentation -- Classification and Inference -- Analyzing Brain Morphology on the Bag-of-Features Manifold -- Modeling and Inference of Spatio-Temporal Protein Dynamics Across Brain Networks -- Deep Learning -- InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction -- Adaptive Graph Convolution Pooling for Brain Surface Analysis -- On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging -- A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging -- Improved Disease Classification in Chest X-rays with Transferred Features from Report Generation -- Reconstruction -- Limited Angle Tomography Reconstruction: Synthetic Reconstruction via Unsupervised Sinogram Adaptation -- Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences -- Disease Modeling -- Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia -- Shape -- Minimizing Non-Holonomicity: Finding Sheets in Fibrous Structures -- Learning Low-Dimensional Representations of Shape Data Sets with Diffeomorphic Autoencoders -- Diffeomorphic Medial Modeling -- Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing -- Registration -- Local Optimal Transport for Functional Brain Template Estimation -- Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations -- Learning Motion -- Real-Time 2D-3D Deformable Registration with Deep Learning and Application to Lung Radiotherapy Targeting -- Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces -- Functional Imaging -- Integrating Convolutional Neural Networks and Probabilistic Graphical Modeling for Epileptic Seizure Detection in Multichannel EEG -- A Novel Sparse Overlapping Modularized Gaussian Graphical Model for Functional Connectivity Estimation -- White Matter Imaging -- Asymmetry Spectrum Imaging for Baby Diffusion Tractography -- A Fast Fiber k-Nearest-Neighbor Algorithm with Application to Group-Wise White Matter Topography Analysis -- Posters -- 3D Organ Shape Reconstruction from Topogram Images -- A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation -- A Graph Model of the Lungs with MorphologyBased Structure for Tuberculosis Type Classification -- A Longitudinal Model for Tau Aggregation in Alzheimers Disease Based on Structural Connectivity -- Accurate Nuclear Segmentation with Center Vector Encoding -- Bayesian Longitudinal Modeling of Early Stage Parkinsons Disease Using DaTscan Images -- Brain Tumor Segmentation on MRI with Missing Modalities -- Contextual Fibre Growth to Generate Realistic Axonal Packing for Diffusion MRI Simulation -- DeepCenterline: a Multi-task Fully Convolutional Network for Centerline Extraction -- ECKO: Ensemble of Clustered Knockoffs for Robust Multivariate Inference on fMRI Data -- FastReg: Fast Non-Rigid Registration via Accelerated Optimisation on the Manifold of Diffeomorphisms -- Graph Convolutional Nets for Tool Presence Detection in Surgical Videos -- High-Order Oriented Cylindrical Flux for Curvilinear Structure Detection and Vessel Segmentation -- Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network -- Learning a Conditional Generative Model for Anatomical Shape Analysis -- Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness -- Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data -- Riemannian Geometry Learning for Disease Progression Modelling -- Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model -- Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices with Applications to Neuroimaging -- Simultaneous Spatial-temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders -- Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention -- A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces -- A Geometric Framework for Feature Mappings in Multimodal Fusion of Brain Image Data -- A Hierarchical Manifold Learning Framework for High-Dimensional Neuroimaging Data -- A Model for Elastic Evolution on Foliated Shapes -- Analyzing Mild Cognitive Impairment Progression via Multi-view Structural Learning -- New Graph-Blind Convolutional Network for Brain Connectome Data Analysis -- CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation -- Data-Driven Model Order Reduction For Diffeomorphic Image Registration -- DGR-Net: Deep Groupwise Registration of Multispectral Images -- Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery -- Generalizations of Ripleys K-Function with Application to Space Curves -- Group Level MEG/EEG Source Imaging via Optimal Transport: Minimum Wasserstein Estimates -- InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-Contrast Microstructural MRI -- Joint Inference on Structural and Diffusion MRI for Sequence-Adaptive Bayesian Segmentation of Thalamic Nuclei with Probabilistic Atlases -- Learning-Based Optimization of the Under-Sampling Pattern in MRI -- Melanoma Recognition via Visual Attention -- Nonlinear Markov Random Fields Learned via Backpropagation -- Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler -- SHAMANN: Shared Memory Augmented Neural Networks -- Signet Ring Cell Detection With a Semi-supervised Learning Framework -- Spherical U-Net on Cortical Surfaces: Methods and Applications -- Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. |
| Record Nr. | UNISA-996466326903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Information Processing in Medical Imaging : 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019, Proceedings / / edited by Albert C. S. Chung, James C. Gee, Paul A. Yushkevich, Siqi Bao
| Information Processing in Medical Imaging : 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019, Proceedings / / edited by Albert C. S. Chung, James C. Gee, Paul A. Yushkevich, Siqi Bao |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XIX, 884 p. 517 illus., 331 illus. in color.) |
| Disciplina |
006.6
006.37 616.07540285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Artificial intelligence Computer science—Mathematics Health informatics Computers Operating systems (Computers) Image Processing and Computer Vision Artificial Intelligence Mathematics of Computing Health Informatics Models and Principles Operating Systems |
| ISBN | 3-030-20351-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Segmentation -- A Bayesian Neural Net to Segment Images with Uncertainty Estimates and Good Calibration -- Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology -- Semi-Supervised and Task-Driven Data Augmentation -- Classification and Inference -- Analyzing Brain Morphology on the Bag-of-Features Manifold -- Modeling and Inference of Spatio-Temporal Protein Dynamics Across Brain Networks -- Deep Learning -- InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction -- Adaptive Graph Convolution Pooling for Brain Surface Analysis -- On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging -- A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging -- Improved Disease Classification in Chest X-rays with Transferred Features from Report Generation -- Reconstruction -- Limited Angle Tomography Reconstruction: Synthetic Reconstruction via Unsupervised Sinogram Adaptation -- Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences -- Disease Modeling -- Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia -- Shape -- Minimizing Non-Holonomicity: Finding Sheets in Fibrous Structures -- Learning Low-Dimensional Representations of Shape Data Sets with Diffeomorphic Autoencoders -- Diffeomorphic Medial Modeling -- Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing -- Registration -- Local Optimal Transport for Functional Brain Template Estimation -- Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations -- Learning Motion -- Real-Time 2D-3D Deformable Registration with Deep Learning and Application to Lung Radiotherapy Targeting -- Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces -- Functional Imaging -- Integrating Convolutional Neural Networks and Probabilistic Graphical Modeling for Epileptic Seizure Detection in Multichannel EEG -- A Novel Sparse Overlapping Modularized Gaussian Graphical Model for Functional Connectivity Estimation -- White Matter Imaging -- Asymmetry Spectrum Imaging for Baby Diffusion Tractography -- A Fast Fiber k-Nearest-Neighbor Algorithm with Application to Group-Wise White Matter Topography Analysis -- Posters -- 3D Organ Shape Reconstruction from Topogram Images -- A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation -- A Graph Model of the Lungs with MorphologyBased Structure for Tuberculosis Type Classification -- A Longitudinal Model for Tau Aggregation in Alzheimers Disease Based on Structural Connectivity -- Accurate Nuclear Segmentation with Center Vector Encoding -- Bayesian Longitudinal Modeling of Early Stage Parkinsons Disease Using DaTscan Images -- Brain Tumor Segmentation on MRI with Missing Modalities -- Contextual Fibre Growth to Generate Realistic Axonal Packing for Diffusion MRI Simulation -- DeepCenterline: a Multi-task Fully Convolutional Network for Centerline Extraction -- ECKO: Ensemble of Clustered Knockoffs for Robust Multivariate Inference on fMRI Data -- FastReg: Fast Non-Rigid Registration via Accelerated Optimisation on the Manifold of Diffeomorphisms -- Graph Convolutional Nets for Tool Presence Detection in Surgical Videos -- High-Order Oriented Cylindrical Flux for Curvilinear Structure Detection and Vessel Segmentation -- Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network -- Learning a Conditional Generative Model for Anatomical Shape Analysis -- Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness -- Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data -- Riemannian Geometry Learning for Disease Progression Modelling -- Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model -- Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices with Applications to Neuroimaging -- Simultaneous Spatial-temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders -- Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention -- A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces -- A Geometric Framework for Feature Mappings in Multimodal Fusion of Brain Image Data -- A Hierarchical Manifold Learning Framework for High-Dimensional Neuroimaging Data -- A Model for Elastic Evolution on Foliated Shapes -- Analyzing Mild Cognitive Impairment Progression via Multi-view Structural Learning -- New Graph-Blind Convolutional Network for Brain Connectome Data Analysis -- CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation -- Data-Driven Model Order Reduction For Diffeomorphic Image Registration -- DGR-Net: Deep Groupwise Registration of Multispectral Images -- Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery -- Generalizations of Ripleys K-Function with Application to Space Curves -- Group Level MEG/EEG Source Imaging via Optimal Transport: Minimum Wasserstein Estimates -- InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-Contrast Microstructural MRI -- Joint Inference on Structural and Diffusion MRI for Sequence-Adaptive Bayesian Segmentation of Thalamic Nuclei with Probabilistic Atlases -- Learning-Based Optimization of the Under-Sampling Pattern in MRI -- Melanoma Recognition via Visual Attention -- Nonlinear Markov Random Fields Learned via Backpropagation -- Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler -- SHAMANN: Shared Memory Augmented Neural Networks -- Signet Ring Cell Detection With a Semi-supervised Learning Framework -- Spherical U-Net on Cortical Surfaces: Methods and Applications -- Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. |
| Record Nr. | UNINA-9910337849803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Information Processing in Medical Imaging [[electronic resource] ] : 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28--July 3, 2013, Proceedings / / edited by James C. Gee, Sarang Joshi, Kilian M. Pohl, William M. Wells, Lilla Zöllei
| Information Processing in Medical Imaging [[electronic resource] ] : 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28--July 3, 2013, Proceedings / / edited by James C. Gee, Sarang Joshi, Kilian M. Pohl, William M. Wells, Lilla Zöllei |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXIV, 782 p. 312 illus.) |
| Disciplina |
006.6
006.37 |
| 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 | 3-642-38868-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Matched Signal Detection on Graphs: Theory and Application to Brain Network Classification -- Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models -- Feature-Based Alignment of Volumetric Multi-modal Images -- Bayesian Estimation of Regularization and Atlas Building in Diffeomorphic Image Registration -- Gradient Competition Anisotropy for Centerline Extraction and Segmentation of Spinal Cords -- Automated Segmentation of the Cerebellar Lobules Using Boundary Specific Classification and Evolution -- Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees -- Predicting Cognitive Data from Medical Images Using Sparse Linear Regression -- A Multiple Hypothesis Based Method for Particle Tracking and Its Extension for Cell Segmentation -- A Multiple Model Probability Hypothesis Density Tracker for Time-Lapse Cell Microscopy Sequences -- Multi-layer Deformation Estimation for Fluoroscopic Imaging -- Fiber Connectivity Integrated Brain Activation Detection -- Diffeomorphic Metric Mapping of Hybrid Diffusion Imaging Based on BFOR Signal Basis -- Hyperbolic Harmonic Brain Surface Registration with Curvature-Based Landmark Matching -- Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry -- Segmenting the Papillary Muscles and the Trabeculae from High Resolution Cardiac CT through Restoration of Topological Handles -- Data-Driven Interactive 3D Medical Image Segmentation Based on Structured Patch Model -- Sparse Deformable Models with Application to Cardiac Motion Analysis -- A Longitudinal Functional Analysis Framework for Analysis of White Matter Tract Statistics -- Groupwise Simultaneous Manifold Alignment for High-Resolution Dynamic MR Imaging of Respiratory Motion -- Conformal Mapping via Metric Optimization with Application for Cortical Label Fusion -- A Novel Sparse Group Gaussian Graphical Model for Functional Connectivity Estimation -- Joint Co-Segmentation and Registration of 3D Ultrasound Images -- Deformable Modeling Using a 3D Boundary Representation with Quadratic Constraints on the Branching Structure of the Blum Skeleton -- Sparse Projections of Medical Images onto Manifolds -- Efficient 3D Multi-region Prostate MRI Segmentation Using Dual Optimization -- Locality Preserving Non-negative Basis Learning with Graph Embedding -- Hierarchical Discriminative Framework for Detecting Tubular Structures in 3D Images -- Joint Fractional Segmentation and Multi-tensor Estimation in Diffusion MRI -- Retrospective Estimation of the Susceptibility Driven Field Map for Distortion Correction in Echo Planar Imaging -- Group-Wise Cortical Correspondence via Sulcal Curve-Constrained Entropy Minimization -- Diffeomorphic Spectral Matching of Cortical Surfaces -- The Non-Local Bootstrap – Estimation of Uncertainty in Diffusion MRI -- Beyond Crossing Fibers: Tractography Exploiting Sub-voxel Fibre Dispersion and Neighbourhood Structure -- Learning from M/EEG Data with Variable Brain Activation Delays -- Unsupervised Learning of Functional Network Dynamics in Resting State fMRI -- Cohort-Level Brain Mapping: Learning Cognitive Atoms to Single Out Specialized Regions -- Torso Image Analysis Rapid Multi-organ Segmentation Using Context Integration and Discriminative Models -- Edge- and Detail-Preserving Sparse Image Representations for Deformable Registration of Chest MRI and CT Volumes -- Multimodal Surface Matching: Fast and Generalisable Cortical Registration Using Discrete Optimisation -- Globally Optimal Cortical Surface Matching with Exact Landmark Correspondence -- Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration -- Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization -- Moving Frames for Heart Fiber Geometry -- Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions -- Multi-atlas Segmentation with Robust Label Transfer and Label Fusion -- A Hierarchical Geodesic Model for Diffeomorphic Longitudinal Shape Analysis -- Active Testing Search for Point Cloud Matching -- Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT -- Adaptive Multi-modal Particle Filtering for Probabilistic White Matter Tractography -- Can T2 -Spectroscopy Resolve Submicrometer Axon Diameters? -- Dictionary Learning on the Manifold of Square Root Densities and Application to Reconstruction of Diffusion Propagator Fields -- Diseased Region Detection of Longitudinal Knee MRI Data -- Model Selection and Estimation of Multi-compartment Models in Diffusion MRI with a Rician Noise Model -- Bayesian Segmentation of Atrium Wall Using Globally-Optimal Graph Cuts on 3D Meshes -- Using Region Trajectories to Construct an Accurate and Efficient Polyaffine Transform Model -- Extracting Evolving Pathologies via Spectral Clustering -- Construction of Multi-scale Common Brain Networks Based on DICCCOL -- Rotation Invariant Features for HARDI -- Geodesic Shape Regression in the Framework of Currents -- Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering -- Reliable Selection of the Number of Fascicles in Diffusion Images by Estimation of the Generalization Error -- IDiff: Irrotational Diffeomorphisms for Computational Anatomy -- Joint Generative Modeling of Imaging and Genetics. |
| Record Nr. | UNISA-996465835903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Information Processing in Medical Imaging : 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28--July 3, 2013, Proceedings / / edited by James C. Gee, Sarang Joshi, Kilian M. Pohl, William M. Wells, Lilla Zöllei
| Information Processing in Medical Imaging : 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28--July 3, 2013, Proceedings / / edited by James C. Gee, Sarang Joshi, Kilian M. Pohl, William M. Wells, Lilla Zöllei |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXIV, 782 p. 312 illus.) |
| Disciplina |
006.6
006.37 |
| 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 | 3-642-38868-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Matched Signal Detection on Graphs: Theory and Application to Brain Network Classification -- Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models -- Feature-Based Alignment of Volumetric Multi-modal Images -- Bayesian Estimation of Regularization and Atlas Building in Diffeomorphic Image Registration -- Gradient Competition Anisotropy for Centerline Extraction and Segmentation of Spinal Cords -- Automated Segmentation of the Cerebellar Lobules Using Boundary Specific Classification and Evolution -- Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees -- Predicting Cognitive Data from Medical Images Using Sparse Linear Regression -- A Multiple Hypothesis Based Method for Particle Tracking and Its Extension for Cell Segmentation -- A Multiple Model Probability Hypothesis Density Tracker for Time-Lapse Cell Microscopy Sequences -- Multi-layer Deformation Estimation for Fluoroscopic Imaging -- Fiber Connectivity Integrated Brain Activation Detection -- Diffeomorphic Metric Mapping of Hybrid Diffusion Imaging Based on BFOR Signal Basis -- Hyperbolic Harmonic Brain Surface Registration with Curvature-Based Landmark Matching -- Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry -- Segmenting the Papillary Muscles and the Trabeculae from High Resolution Cardiac CT through Restoration of Topological Handles -- Data-Driven Interactive 3D Medical Image Segmentation Based on Structured Patch Model -- Sparse Deformable Models with Application to Cardiac Motion Analysis -- A Longitudinal Functional Analysis Framework for Analysis of White Matter Tract Statistics -- Groupwise Simultaneous Manifold Alignment for High-Resolution Dynamic MR Imaging of Respiratory Motion -- Conformal Mapping via Metric Optimization with Application for Cortical Label Fusion -- A Novel Sparse Group Gaussian Graphical Model for Functional Connectivity Estimation -- Joint Co-Segmentation and Registration of 3D Ultrasound Images -- Deformable Modeling Using a 3D Boundary Representation with Quadratic Constraints on the Branching Structure of the Blum Skeleton -- Sparse Projections of Medical Images onto Manifolds -- Efficient 3D Multi-region Prostate MRI Segmentation Using Dual Optimization -- Locality Preserving Non-negative Basis Learning with Graph Embedding -- Hierarchical Discriminative Framework for Detecting Tubular Structures in 3D Images -- Joint Fractional Segmentation and Multi-tensor Estimation in Diffusion MRI -- Retrospective Estimation of the Susceptibility Driven Field Map for Distortion Correction in Echo Planar Imaging -- Group-Wise Cortical Correspondence via Sulcal Curve-Constrained Entropy Minimization -- Diffeomorphic Spectral Matching of Cortical Surfaces -- The Non-Local Bootstrap – Estimation of Uncertainty in Diffusion MRI -- Beyond Crossing Fibers: Tractography Exploiting Sub-voxel Fibre Dispersion and Neighbourhood Structure -- Learning from M/EEG Data with Variable Brain Activation Delays -- Unsupervised Learning of Functional Network Dynamics in Resting State fMRI -- Cohort-Level Brain Mapping: Learning Cognitive Atoms to Single Out Specialized Regions -- Torso Image Analysis Rapid Multi-organ Segmentation Using Context Integration and Discriminative Models -- Edge- and Detail-Preserving Sparse Image Representations for Deformable Registration of Chest MRI and CT Volumes -- Multimodal Surface Matching: Fast and Generalisable Cortical Registration Using Discrete Optimisation -- Globally Optimal Cortical Surface Matching with Exact Landmark Correspondence -- Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration -- Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization -- Moving Frames for Heart Fiber Geometry -- Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions -- Multi-atlas Segmentation with Robust Label Transfer and Label Fusion -- A Hierarchical Geodesic Model for Diffeomorphic Longitudinal Shape Analysis -- Active Testing Search for Point Cloud Matching -- Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT -- Adaptive Multi-modal Particle Filtering for Probabilistic White Matter Tractography -- Can T2 -Spectroscopy Resolve Submicrometer Axon Diameters? -- Dictionary Learning on the Manifold of Square Root Densities and Application to Reconstruction of Diffusion Propagator Fields -- Diseased Region Detection of Longitudinal Knee MRI Data -- Model Selection and Estimation of Multi-compartment Models in Diffusion MRI with a Rician Noise Model -- Bayesian Segmentation of Atrium Wall Using Globally-Optimal Graph Cuts on 3D Meshes -- Using Region Trajectories to Construct an Accurate and Efficient Polyaffine Transform Model -- Extracting Evolving Pathologies via Spectral Clustering -- Construction of Multi-scale Common Brain Networks Based on DICCCOL -- Rotation Invariant Features for HARDI -- Geodesic Shape Regression in the Framework of Currents -- Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering -- Reliable Selection of the Number of Fascicles in Diffusion Images by Estimation of the Generalization Error -- IDiff: Irrotational Diffeomorphisms for Computational Anatomy -- Joint Generative Modeling of Imaging and Genetics. |
| Record Nr. | UNINA-9910484818103321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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