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Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics [[electronic resource] ] : First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings / / edited by M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang Joshi, Nematollah K. Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer
| Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics [[electronic resource] ] : First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings / / edited by M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang Joshi, Nematollah K. Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XV, 250 p. 83 illus.) |
| Disciplina | 610.285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Health informatics Data mining Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Health Informatics Data Mining and Knowledge Discovery |
| ISBN | 3-319-67675-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466240403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics : First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings / / edited by M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang Joshi, Nematollah K. Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer
| Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics : First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings / / edited by M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang Joshi, Nematollah K. Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XV, 250 p. 83 illus.) |
| Disciplina | 610.285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Health informatics Data mining Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Health Informatics Data Mining and Knowledge Discovery |
| ISBN | 3-319-67675-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484879103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| 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 [[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. | UNINA-9910484818103321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| ||