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MARC Lista (tabellare)
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 [[electronic resource] ] : 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I / / edited by Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro Frangi
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 [[electronic resource] ] : 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I / / edited by Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro Frangi
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XLVII, 740 p. 317 illus., 117 illus. in color.)
Disciplina 610.285
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Pattern recognition
Computer graphics
Artificial intelligence
Radiology
Health informatics
Image Processing and Computer Vision
Pattern Recognition
Computer Graphics
Artificial Intelligence
Imaging / Radiology
Health Informatics
ISBN 3-319-24553-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996465517003316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 [[electronic resource] ] : 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part II / / edited by Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro Frangi
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 [[electronic resource] ] : 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part II / / edited by Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro Frangi
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XXVII, 720 p. 280 illus. in color.)
Disciplina 616.0757
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Pattern recognition
Computer graphics
Artificial intelligence
Radiology
Health informatics
Image Processing and Computer Vision
Pattern Recognition
Computer Graphics
Artificial Intelligence
Imaging / Radiology
Health Informatics
ISBN 3-319-24571-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part II -- Computer Aided Diagnosis II: Automation -- Computer-Aided Detection and Quantification of Intracranial Aneurysms -- 1 Introduction -- 2 Methods -- 3 Experiments and Results -- 4 Discussion -- References -- Discriminative Feature Selection for Multiple Ocular Diseases Classification by Sparse Induced Graph Regularized Group Lasso -- 1 Introduction -- 2 Discriminative Feature Selection by Graph Regularized Group Lasso -- 3 Experiments -- 4 Conclusion -- References -- Detection of Glands and Villi by Collaboration of Domain Knowledge and Deep Learning -- 1 Introduction -- 2 Methodology -- 3 Experiments and Discussions -- References -- Minimum S-Excess Graph for Segmenting and Tracking Multiple Borders with HMM -- 1 Introduction -- 2 ProposedMethod -- 3 Application and Results -- 4 Conclusions -- References -- Automatic Artery-Vein Separation from Thoracic CT Images Using Integer Programming -- 1 Introduction -- 2 Method -- 3 Experimental Setup and Results -- 4 Discussion and Conclusion -- References -- Automatic Dual-View Mass Detection in Full-Field Digital Mammograms -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- References -- Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection -- 1 Introduction -- 2 Methods -- 3 Evaluation and Discussion -- 4 Conclusion -- References -- Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks -- 1 Introduction -- 2 Materials -- 3 Methods -- 4 Results -- 5 Discussion and Conclusion -- References -- Regenerative Random Forest with Automatic Feature Selection to Detect Mitosis in Histopathological Breast Cancer Images -- 1 Introduction -- 2 Methods -- 3 Experimental Results -- 4 Conclusions -- References.
HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection -- 1 Introduction -- 2 HoTPiG -- 3 Computer-Assisted Detection of Aneurysms -- 4 Experimental Results -- 5 Discussion and Conclusion -- References -- Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations -- 1 Introduction and Related Work -- 2 Method -- 3 Results -- 4 Conclusion and Acknowledgement -- References -- Improved Parkinson's Disease Classification from Diffusion MRI Data by Fisher Vector Descriptors -- 1 Introduction -- 2 Methods -- 3 Experiments -- 4 Discussion and Future Work -- References -- Automated Shape and Texture Analysis for Detection of Osteoarthritis from Radiographs of the Knee -- 1 Introduction -- 2 Background -- 3 Method -- 4 Results -- 5 Discussion and Conclusion -- References -- Hashing Forests for Morphological Search and Retrieval in Neuroscientific Image Databases -- 1 Introduction -- 2 Methodology -- 3 Experiments and Observations -- 4 Conclusions -- References -- Automatic Graph-Based Localization of Cochlear Implant Electrodes in CT -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Conclusions -- References -- Towards Non-invasive Image-Based Early Diagnosis of Autism -- 1 Introduction -- 2 Methods -- 3 Experimental Results and Conclusions -- References -- Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut -- 1 Introduction -- 2 Methodology -- 3 Experiments and Discussions -- 4 Conclusion and Future Work -- References -- Semantic 3-D Labeling of Ear Implants Using a Global Parametric Transition Prior -- 1 Introduction -- 2 Model -- 3 Optimization -- 4 Learning -- 5 Experiments -- 6 Conclusions and Future Work -- References -- Learning the Correlation Between Images and Disease Labels Using Ambiguous Learning.
1 Introduction -- 2 Related Work -- 3 Extracting Disease Labels from Reports -- 4 Feature Extraction from Doppler Images -- 5 Ambiguity Reduction Using Machine Learning -- 6 Results -- 7 Conclusions -- References -- Longitudinal Analysis of Brain Recovery after Mild Traumatic Brain Injury Based on Groupwise Consistent Brain Network Clusters -- 1 Introduction -- 2 Data Acquisition -- 3 Method -- 4 Results -- 5 Discussion and Conclusion -- References -- Registration: Method and Advanced Applications -- Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR -- 1 Introduction -- 2 Background -- 3 Method -- 4 Results -- 5 Discussions and Conclusion -- References -- Estimating Patient Specific Templates for Pre-operative and Follow-Up Brain Tumor Registration -- 1 Introduction -- 2 Segmentation of Pre-operative and Follow-Up Scans -- 3 Combined Registration and Inpainting Framework -- 4 Experiments -- 5 Conclusion -- References -- Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation -- 1 Introduction -- 2 Varifold-Based Surface Matching -- 3 Topography-Based Cortical Surface Matching Using Varifold Metric -- 4 Results -- 5 Discussion and Conclusion -- References -- A Liver Atlas Using the Special Euclidean Group -- 1 Introduction -- 2 The Special Euclidean Group -- 3) -- 3 Shape Encoding and Model Construction -- 4 Experiments and Results -- 5 Discussion and Conclusions -- References -- Multi-scale and Multimodal Fusion of Tract-Tracing, Myelin Stain and DTI-derived Fibers in Macaque Brains -- 1 Introduction -- 2 Materials and Preprocessing -- 3 Methods -- 4 Experimental Results -- 5 Discussion and Conclusion -- References -- Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases -- 1 Introduction -- 2 Method -- 3 Experiments -- 4 Conclusion.
References -- Mid-Space-Independent Symmetric Data Term for Pairwise Deformable Image Registration -- 1 Introduction -- 2 Methods -- 3 Experimental Results -- 4 Conclusions -- References -- A 2D-3D Registration Framework for Freehand TRUS-Guided Prostate Biopsy -- 1 Introduction -- 2 Methods -- 3 Experiments and Results -- 4 Discussion and Conclusions -- References -- Unsupervised Free-View Groupwise Segmentation for M3 Cardiac Images Using Synchronized Spectral Network -- 1 Introduction -- 2 Methodology -- 3 Experiment -- 4 Conclusions -- References -- Uncertainty Quantification for LDDMM Using a Low-Rank Hessian Approximation -- 1 Introduction -- 2 Covariance Matrix and Hessian of the Energy -- 3 Hessian Calculation and Covariance Estimation -- 4 Experiments and Discussions -- References -- A Stochastic Quasi-Newton Method for Non-Rigid Image Registration -- 1 Introduction -- 2 Methods -- 3 Experiment -- 4 Results -- 5 Conclusion -- References -- Locally Orderless Registration for Diffusion Weighted Images -- 1 Introduction -- 2 Previous Work and Background -- 3 Locally Orderless DWI -- 4 Image Registration -- 5 Experiments and Results -- 6 Discussion and Conclusion -- References -- Predicting Activation Across Individuals with Resting-State Functional Connectivity Based Multi-Atlas Label Fusion -- 1 Introduction -- 2 Method -- 3 Experiments -- 4 Conclusion -- References -- Crossing-Lines Registration for Direct Electromagnetic Navigation -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- References -- A Robust Outlier Elimination Approach for Multimodal Retina Image Registration -- 1 Introduction -- 2 Proposed Method -- 3 Results -- 4 Conclusions -- References -- Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields -- 1 Introduction -- 2 Method -- 3 Experiments and Results.
4 Conclusion -- References -- Combining Transversal and Longitudinal Registration in IVUS Studies -- 1 Introduction -- 2 Methodology -- 3 Results and Discussion -- 4 Conclusions -- References -- Interpolation and Averaging of Multi-Compartment Model Images -- 1 Introduction -- 2 Theory -- 3 Experiments and Results -- 4 Conclusion -- References -- Structured Decision Forests for Multi-modal Ultrasound Image Registration -- 1 Introduction -- 2 Methods -- 3 Experiments and Results -- 4 Conclusion -- References -- A Hierarchical Bayesian Model for Multi-Site Diffeomorphic Image Atlases -- 1 Introduction -- 2 Background -- 3 Hierarchical Bayesian Model -- 4 Results -- 5 Conclusion -- References -- Distance Networks for Morphological Profiling and Characterization of DICCCOL Landmarks -- 1 Introduction -- 2 Method -- 3 Results -- 4 Conclusion -- References -- Which Metrics Should Be Used in Non-linear Registration Evaluation? -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Modelling and Simulation for Diagnosis and Interventional Planning -- Perfusion Paths: Inference of Voxelwise Blood Flow Trajectories in CT Perfusion -- 1 Introduction -- 2 Related Work -- 3 MathematicalModel -- 4 Experiments -- 5 Discussion and Conclusion -- References -- Automatic Prostate Brachytherapy Preplanning Using Joint Sparse Analysis -- 1 Introduction -- 2 Methods -- 3 Experiments and Results -- 4 Discussion and Conclusion -- References -- Bayesian Personalization of Brain Tumor Growth Model -- 1 Introduction -- 2 Method -- 3 Experiments and Results -- 4 Conclusion -- References -- Vito - A Generic Agent for Multi-physics Model Personalization: Application to Heart Modeling -- 1 Introduction -- 2 Method -- 3 Experiments and Results -- 4 Discussion and Conclusion -- References.
Database-Based Estimation of Liver Deformation under Pneumoperitoneum for Surgical Image-Guidance and Simulation.
Record Nr. UNISA-996465511703316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 : 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I / / edited by Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro Frangi
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 : 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I / / edited by Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro Frangi
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XLVII, 740 p. 317 illus., 117 illus. in color.)
Disciplina 610.285
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Pattern recognition
Computer graphics
Artificial intelligence
Radiology
Health informatics
Image Processing and Computer Vision
Pattern Recognition
Computer Graphics
Artificial Intelligence
Imaging / Radiology
Health Informatics
ISBN 3-319-24553-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910484781903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 : 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part II / / edited by Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro Frangi
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 : 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part II / / edited by Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro Frangi
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XXVII, 720 p. 280 illus. in color.)
Disciplina 616.0757
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Pattern recognition
Computer graphics
Artificial intelligence
Radiology
Health informatics
Image Processing and Computer Vision
Pattern Recognition
Computer Graphics
Artificial Intelligence
Imaging / Radiology
Health Informatics
ISBN 3-319-24571-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part II -- Computer Aided Diagnosis II: Automation -- Computer-Aided Detection and Quantification of Intracranial Aneurysms -- 1 Introduction -- 2 Methods -- 3 Experiments and Results -- 4 Discussion -- References -- Discriminative Feature Selection for Multiple Ocular Diseases Classification by Sparse Induced Graph Regularized Group Lasso -- 1 Introduction -- 2 Discriminative Feature Selection by Graph Regularized Group Lasso -- 3 Experiments -- 4 Conclusion -- References -- Detection of Glands and Villi by Collaboration of Domain Knowledge and Deep Learning -- 1 Introduction -- 2 Methodology -- 3 Experiments and Discussions -- References -- Minimum S-Excess Graph for Segmenting and Tracking Multiple Borders with HMM -- 1 Introduction -- 2 ProposedMethod -- 3 Application and Results -- 4 Conclusions -- References -- Automatic Artery-Vein Separation from Thoracic CT Images Using Integer Programming -- 1 Introduction -- 2 Method -- 3 Experimental Setup and Results -- 4 Discussion and Conclusion -- References -- Automatic Dual-View Mass Detection in Full-Field Digital Mammograms -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- References -- Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection -- 1 Introduction -- 2 Methods -- 3 Evaluation and Discussion -- 4 Conclusion -- References -- Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks -- 1 Introduction -- 2 Materials -- 3 Methods -- 4 Results -- 5 Discussion and Conclusion -- References -- Regenerative Random Forest with Automatic Feature Selection to Detect Mitosis in Histopathological Breast Cancer Images -- 1 Introduction -- 2 Methods -- 3 Experimental Results -- 4 Conclusions -- References.
HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection -- 1 Introduction -- 2 HoTPiG -- 3 Computer-Assisted Detection of Aneurysms -- 4 Experimental Results -- 5 Discussion and Conclusion -- References -- Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations -- 1 Introduction and Related Work -- 2 Method -- 3 Results -- 4 Conclusion and Acknowledgement -- References -- Improved Parkinson's Disease Classification from Diffusion MRI Data by Fisher Vector Descriptors -- 1 Introduction -- 2 Methods -- 3 Experiments -- 4 Discussion and Future Work -- References -- Automated Shape and Texture Analysis for Detection of Osteoarthritis from Radiographs of the Knee -- 1 Introduction -- 2 Background -- 3 Method -- 4 Results -- 5 Discussion and Conclusion -- References -- Hashing Forests for Morphological Search and Retrieval in Neuroscientific Image Databases -- 1 Introduction -- 2 Methodology -- 3 Experiments and Observations -- 4 Conclusions -- References -- Automatic Graph-Based Localization of Cochlear Implant Electrodes in CT -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Conclusions -- References -- Towards Non-invasive Image-Based Early Diagnosis of Autism -- 1 Introduction -- 2 Methods -- 3 Experimental Results and Conclusions -- References -- Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut -- 1 Introduction -- 2 Methodology -- 3 Experiments and Discussions -- 4 Conclusion and Future Work -- References -- Semantic 3-D Labeling of Ear Implants Using a Global Parametric Transition Prior -- 1 Introduction -- 2 Model -- 3 Optimization -- 4 Learning -- 5 Experiments -- 6 Conclusions and Future Work -- References -- Learning the Correlation Between Images and Disease Labels Using Ambiguous Learning.
1 Introduction -- 2 Related Work -- 3 Extracting Disease Labels from Reports -- 4 Feature Extraction from Doppler Images -- 5 Ambiguity Reduction Using Machine Learning -- 6 Results -- 7 Conclusions -- References -- Longitudinal Analysis of Brain Recovery after Mild Traumatic Brain Injury Based on Groupwise Consistent Brain Network Clusters -- 1 Introduction -- 2 Data Acquisition -- 3 Method -- 4 Results -- 5 Discussion and Conclusion -- References -- Registration: Method and Advanced Applications -- Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR -- 1 Introduction -- 2 Background -- 3 Method -- 4 Results -- 5 Discussions and Conclusion -- References -- Estimating Patient Specific Templates for Pre-operative and Follow-Up Brain Tumor Registration -- 1 Introduction -- 2 Segmentation of Pre-operative and Follow-Up Scans -- 3 Combined Registration and Inpainting Framework -- 4 Experiments -- 5 Conclusion -- References -- Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation -- 1 Introduction -- 2 Varifold-Based Surface Matching -- 3 Topography-Based Cortical Surface Matching Using Varifold Metric -- 4 Results -- 5 Discussion and Conclusion -- References -- A Liver Atlas Using the Special Euclidean Group -- 1 Introduction -- 2 The Special Euclidean Group -- 3) -- 3 Shape Encoding and Model Construction -- 4 Experiments and Results -- 5 Discussion and Conclusions -- References -- Multi-scale and Multimodal Fusion of Tract-Tracing, Myelin Stain and DTI-derived Fibers in Macaque Brains -- 1 Introduction -- 2 Materials and Preprocessing -- 3 Methods -- 4 Experimental Results -- 5 Discussion and Conclusion -- References -- Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases -- 1 Introduction -- 2 Method -- 3 Experiments -- 4 Conclusion.
References -- Mid-Space-Independent Symmetric Data Term for Pairwise Deformable Image Registration -- 1 Introduction -- 2 Methods -- 3 Experimental Results -- 4 Conclusions -- References -- A 2D-3D Registration Framework for Freehand TRUS-Guided Prostate Biopsy -- 1 Introduction -- 2 Methods -- 3 Experiments and Results -- 4 Discussion and Conclusions -- References -- Unsupervised Free-View Groupwise Segmentation for M3 Cardiac Images Using Synchronized Spectral Network -- 1 Introduction -- 2 Methodology -- 3 Experiment -- 4 Conclusions -- References -- Uncertainty Quantification for LDDMM Using a Low-Rank Hessian Approximation -- 1 Introduction -- 2 Covariance Matrix and Hessian of the Energy -- 3 Hessian Calculation and Covariance Estimation -- 4 Experiments and Discussions -- References -- A Stochastic Quasi-Newton Method for Non-Rigid Image Registration -- 1 Introduction -- 2 Methods -- 3 Experiment -- 4 Results -- 5 Conclusion -- References -- Locally Orderless Registration for Diffusion Weighted Images -- 1 Introduction -- 2 Previous Work and Background -- 3 Locally Orderless DWI -- 4 Image Registration -- 5 Experiments and Results -- 6 Discussion and Conclusion -- References -- Predicting Activation Across Individuals with Resting-State Functional Connectivity Based Multi-Atlas Label Fusion -- 1 Introduction -- 2 Method -- 3 Experiments -- 4 Conclusion -- References -- Crossing-Lines Registration for Direct Electromagnetic Navigation -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- References -- A Robust Outlier Elimination Approach for Multimodal Retina Image Registration -- 1 Introduction -- 2 Proposed Method -- 3 Results -- 4 Conclusions -- References -- Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields -- 1 Introduction -- 2 Method -- 3 Experiments and Results.
4 Conclusion -- References -- Combining Transversal and Longitudinal Registration in IVUS Studies -- 1 Introduction -- 2 Methodology -- 3 Results and Discussion -- 4 Conclusions -- References -- Interpolation and Averaging of Multi-Compartment Model Images -- 1 Introduction -- 2 Theory -- 3 Experiments and Results -- 4 Conclusion -- References -- Structured Decision Forests for Multi-modal Ultrasound Image Registration -- 1 Introduction -- 2 Methods -- 3 Experiments and Results -- 4 Conclusion -- References -- A Hierarchical Bayesian Model for Multi-Site Diffeomorphic Image Atlases -- 1 Introduction -- 2 Background -- 3 Hierarchical Bayesian Model -- 4 Results -- 5 Conclusion -- References -- Distance Networks for Morphological Profiling and Characterization of DICCCOL Landmarks -- 1 Introduction -- 2 Method -- 3 Results -- 4 Conclusion -- References -- Which Metrics Should Be Used in Non-linear Registration Evaluation? -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Modelling and Simulation for Diagnosis and Interventional Planning -- Perfusion Paths: Inference of Voxelwise Blood Flow Trajectories in CT Perfusion -- 1 Introduction -- 2 Related Work -- 3 MathematicalModel -- 4 Experiments -- 5 Discussion and Conclusion -- References -- Automatic Prostate Brachytherapy Preplanning Using Joint Sparse Analysis -- 1 Introduction -- 2 Methods -- 3 Experiments and Results -- 4 Discussion and Conclusion -- References -- Bayesian Personalization of Brain Tumor Growth Model -- 1 Introduction -- 2 Method -- 3 Experiments and Results -- 4 Conclusion -- References -- Vito - A Generic Agent for Multi-physics Model Personalization: Application to Heart Modeling -- 1 Introduction -- 2 Method -- 3 Experiments and Results -- 4 Discussion and Conclusion -- References.
Database-Based Estimation of Liver Deformation under Pneumoperitoneum for Surgical Image-Guidance and Simulation.
Record Nr. UNINA-9910484376603321
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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 [[electronic resource] ] : 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III / / edited by Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro Frangi
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 [[electronic resource] ] : 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III / / edited by Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro Frangi
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XXVII, 780 p. 323 illus., 123 illus. in color.)
Disciplina 610.285
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Pattern recognition
Computer graphics
Artificial intelligence
Radiology
Health informatics
Image Processing and Computer Vision
Pattern Recognition
Computer Graphics
Artificial Intelligence
Imaging / Radiology
Health Informatics
ISBN 3-319-24574-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part III -- Quantitative Image Analysis I: Segmentation and Measurement -- Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation -- 1 Introduction -- 2 Methods -- 3 Experiments and Results -- 4 Conclusions -- References -- Unsupervised Myocardial Segmentation for Cardiac MRI -- 1 Introduction -- 2 Related Work -- 3 Method -- 4 Results -- 5 Discussions and Conclusion -- References -- Multimodal Cortical Parcellation Based on Anatomical and Functional Brain Connectivity -- 1 Introduction -- 2 Materials -- 2.1 RS-fMRI Data -- 2.2 dMRI Data -- 3 Methods -- 3.1 Estimating Brain Connectivity -- 3.2 Adaptively Weighted Multimodal Connectivity Model -- 3.3 Affinity Matrix Estimation -- 4 Results and Discussion -- 4.1 Quantitative Results -- 4.2 Qualitative Results -- 5 Conclusions -- References -- Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning -- 1 Introduction -- 2 Methods -- 3 Experiments and Results -- 4 Conclusion -- References -- GPSSI: Gaussian Process for Sampling Segmentations of Images -- 1 Introduction -- 2 Existing Generative Models of Segmentations -- 3 GPSSI -- 3.1 Definition -- 3.2 Efficient Sampling -- 4 Results -- 4.1 Parameter Setting -- 4.2 Segmentation Sampling -- 5 Tumor Delineation Uncertainty in Radiotherapy -- 6 Conclusion -- References -- Multi-Level Parcellation of the Cerebral Cortex Using Resting-State fMRI -- 1 Introduction -- 2 Methodology -- 2.1 Data Acquisition and Preprocessing -- 2.2 Initial Parcellation via Supervertex Clustering -- 2.3 Single-Level Parcellation via Hierarchical Clustering -- 2.4 Groupwise Parcellation via Spectral Clustering -- 3 Results -- 4 Conclusions -- References -- Interactive Multi-organ Segmentation Based on Multiple Template Deformation.
1 Medical Motivation and Overview -- 2 Methodology -- 2.1 Multiple Implicit Template Deformation with User Constraints -- 2.2 Numerical Optimization -- 2.3 Enhancing the Framework for Local Contours Editing -- 2.4 Flexibility of the Framework -- 3 A Study for the Evaluation of the User Interactions -- 4 Conclusion -- References -- Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data -- 1 Introduction -- 2 Method -- 2.1 Hierarchical Learn ning of Common Feature Representations -- 2.2 Patch-Based Label Fusion for Hippocampus Segmentation -- 3 Experimental Results -- 4 Conclusion -- References -- Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI -- 1 Introduction -- 2 Methods -- 3 Results -- 3.1 Comparison of DWI with and without Additional T2 Imaging -- 3.2 Comparison of Quantitative Neuroimaging Parameters -- 3.3 Correlation of Diffusion MRI and Cerebral Blood Flow -- 4 Discussion -- References -- Interactive Whole-Heart Segmentation in Congenital Heart Disease -- 1 Introduction -- 2 Patch-Based Interactive Segmentation -- 3 Empirical Study: Active Learning for Reference Selection -- 4 Results -- 5 Conclusions -- References -- Automatic 3D US Brain Ventricle Segmentation in Pre-Term Neonates Using Multi-phase Geodesic Level-Sets with Shape Prior -- 1 Introduction -- 2 Method -- 3 Experiments and Results -- 4 Discussion and Conclusion -- References -- Multiple Surface Segmentation Using Truncated Convex Priors -- 1 Introduction -- 2 Method -- 3 Experimental Methods -- 4 Results -- 5 Discussion and Conclusion -- References -- Statistical Power in Image Segmentation: Relating Sample Size to Reference Standard Quality -- 1 Introduction -- 2 Derivation of the Sample Size Formula -- 2.1 Sample Size for Segmentation Accuracy.
2.2 Sample Size in Terms of the High Quality Reference Standard -- 3 Simulations -- 4 Results -- 5 Case Study -- 6 Discussion -- References -- Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs -- 1 Introduction -- 2 Method -- 2.1 Joint Learning of Image Regressor and Classifier -- 2.2 Deformable Segmentation with Regressor and Classifier -- 3 Experimental Results -- 4 Conclusion -- References -- Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues -- 1 Introduction -- 2 Methods -- 3 Evaluation Results -- 4 Conclusions -- References -- Brain Tissue Segmentation Based on Diffusion MRI Using l 0 Sparse-Group Representation Classification -- 1 Introduction -- 2 Approach -- 3 Experiments -- 3.1 Data -- 3.2 Diffusion Parameters -- 3.3 Comparison Methods -- 3.4 Results -- 4 Conclusion -- References -- A Latent Source Model for Patch-Based Image Segmentation -- 1 Introduction -- 2 Pointwise Segmentation and a Theoretical Guarantee -- 3 Multipoint Segmentation -- 4 Conclusions -- References -- Multi-organ Segmentation Using Shape Model Guided Local Phase Analysis -- 1 Introduction -- 2 Method -- 2.1 Quadrature Filters and Model Guided Local Phase Analysis -- 2.2 Integrating Region-Based and Edge-Based Energy in the Level-Set Method -- 2.3 Hierarchical Segmentation Pipeline and Multi-scale Phase Analysis -- 3 Experiments and Results -- 4 Discussion and Conclusion -- References -- Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information -- 1 Introduction -- 2 Methodology -- 2.1 Method Overview -- 2.2 Gap Filling -- 2.3 Generating the Second-Order Tensor Field T -- 2.4 Deriving a Saliency Map S and Preferential Directions D from T -- 2.5 Generating the Enhancement Map E -- 3 Results.
3.1 Synthetic Data -- 3.2 3D Images of Tumour Vasculature -- 4 Discussion -- References -- A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation -- 1 Introduction -- 2 Methodology -- 2.1 Iterative Markov Random Field Formulation -- 2.2 Continuous Max-Flow Optimisation -- 3 Results -- 4 Discussion -- References -- A 3D Fractal-Based Approach towards Understanding Changes in the Infarcted Heart Microvasculature -- 1 Introduction -- 2 Methods -- 2.1 Data Acquisition and Pre-processing -- 2.2 Segmentation -- 2.3 Fractal-Based Methods -- 3 Results -- 4 Conclusions -- References -- Segmenting the Uterus in Monocular Laparoscopic Images without Manual Input -- 1 Introduction and Background -- 2 Methodology -- 3 Experimental Results -- 4 Conclusion -- References -- Progressive Label Fusion Framework for Multi-atlas Segmentation by Dictionary Evolution -- 1 Introduction -- 2 Proposed Method -- 2.1 Dictionary Construction -- 2.2 Multi-layer Label Fusion -- 3 Experiments -- 3.1 Dataset and Parameters -- 3.2 Hippocampus Segmentation Results -- 4 Conclusion -- References -- Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints -- 1 Introduction -- 2 Multi-atlas Based Editing Method -- 2.1 Extraction of Local Interaction Combinations -- 2.2 Selection of Training Labels with respect to User Interactions -- 2.3 Label Fusion Based on User Interactions -- 3 Experimental Result -- 4 Conclusion -- References -- Quantitative Image Analysis II: Microscopy, Fluorescence and Histological Imagery -- Improving Convenience and Reliability of 5-ALA-Induced Fluorescent Imaging for Brain Tumor Surgery -- 1 Introduction -- 2 Concept of the Image Acquisition System -- 3 Imaging Formula -- 4 Experiment -- 4.1 Prototype System Building -- 4.2 Real Time Image Processing and Display -- 4.3 Quantitative Imaging Technique.
5 Discussion and Conclusions -- References -- Analysis of High-throughput Microscopy Videos: Catching Up with Cell Dynamics -- 1 Introduction -- 2 Methods -- 2.1 Problem Formulation -- 2.2 Time Series Analysis -- 2.3 Dynamic Shape Model -- 2.4 MAP Segmentation and Association -- 3 Experimental Results -- 4 Summary and Conclusions -- References -- Neutrophils Identification by Deep Learning and Voronoi Diagram of Clusters -- 1 Introduction -- 2 Modeling Individual Cell Appearances by CNN -- 3 Modeling Cell Context by VDC -- 4 Experiments and Evaluation -- 5 Conclusions -- References -- U-Net: Convolutional Networks for Biomedical Image Segmentation -- 1 Introduction -- 2 Network Architecture -- 3 Training -- 3.1 Data Augmentation -- 4 Experiments -- 5 Conclusion -- References -- Co-restoring Multimodal Microscopy Images -- 1 Introduction -- 2 Data Acquisition -- 3 Methodology -- 3.1 Theoretical Foundation of Microscopy Image Restoration -- 3.2 Multimodal Microscopy Image Restoration Algorithm -- 3.3 Build a Look-Up Table for Better Initialization -- 3.4 Cell Segmentation and Classification Based on Co-restoration -- 4 Experimental Results -- 4.1 Qualitative Evaluation -- 4.2 Quantitative Evaluation -- 5 Conclusion -- References -- A 3D Primary Vessel Reconstruction Framework with Serial Microscopy Images -- 1 Introduction -- 2 Methods for 3D Vessel Reconstruction -- 2.1 Automated 2D Vessel Segmentation -- 2.2 Two-Stage Vessel Association with Vessel Cross-Sections -- 3 Experimental Results and Validation -- 4 Conclusion -- References -- Adaptive Co-occurrence Differential Texton Space for HEp-2 Cells Classification -- 1 Introduction -- 2 Method -- 2.1 Co-occurrence Differential Texton -- 2.2 HEp-2 Cell Image Representation in the Adaptive CoDT Feature Space -- 3 Experiments and Comparisons -- 3.1 Datasets -- 3.2 Experimental Results -- 4 Conclusion.
References.
Record Nr. UNISA-996465511003316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 : 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III / / edited by Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro Frangi
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 : 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III / / edited by Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro Frangi
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XXVII, 780 p. 323 illus., 123 illus. in color.)
Disciplina 610.285
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Pattern recognition
Computer graphics
Artificial intelligence
Radiology
Health informatics
Image Processing and Computer Vision
Pattern Recognition
Computer Graphics
Artificial Intelligence
Imaging / Radiology
Health Informatics
ISBN 3-319-24574-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part III -- Quantitative Image Analysis I: Segmentation and Measurement -- Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation -- 1 Introduction -- 2 Methods -- 3 Experiments and Results -- 4 Conclusions -- References -- Unsupervised Myocardial Segmentation for Cardiac MRI -- 1 Introduction -- 2 Related Work -- 3 Method -- 4 Results -- 5 Discussions and Conclusion -- References -- Multimodal Cortical Parcellation Based on Anatomical and Functional Brain Connectivity -- 1 Introduction -- 2 Materials -- 2.1 RS-fMRI Data -- 2.2 dMRI Data -- 3 Methods -- 3.1 Estimating Brain Connectivity -- 3.2 Adaptively Weighted Multimodal Connectivity Model -- 3.3 Affinity Matrix Estimation -- 4 Results and Discussion -- 4.1 Quantitative Results -- 4.2 Qualitative Results -- 5 Conclusions -- References -- Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning -- 1 Introduction -- 2 Methods -- 3 Experiments and Results -- 4 Conclusion -- References -- GPSSI: Gaussian Process for Sampling Segmentations of Images -- 1 Introduction -- 2 Existing Generative Models of Segmentations -- 3 GPSSI -- 3.1 Definition -- 3.2 Efficient Sampling -- 4 Results -- 4.1 Parameter Setting -- 4.2 Segmentation Sampling -- 5 Tumor Delineation Uncertainty in Radiotherapy -- 6 Conclusion -- References -- Multi-Level Parcellation of the Cerebral Cortex Using Resting-State fMRI -- 1 Introduction -- 2 Methodology -- 2.1 Data Acquisition and Preprocessing -- 2.2 Initial Parcellation via Supervertex Clustering -- 2.3 Single-Level Parcellation via Hierarchical Clustering -- 2.4 Groupwise Parcellation via Spectral Clustering -- 3 Results -- 4 Conclusions -- References -- Interactive Multi-organ Segmentation Based on Multiple Template Deformation.
1 Medical Motivation and Overview -- 2 Methodology -- 2.1 Multiple Implicit Template Deformation with User Constraints -- 2.2 Numerical Optimization -- 2.3 Enhancing the Framework for Local Contours Editing -- 2.4 Flexibility of the Framework -- 3 A Study for the Evaluation of the User Interactions -- 4 Conclusion -- References -- Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data -- 1 Introduction -- 2 Method -- 2.1 Hierarchical Learn ning of Common Feature Representations -- 2.2 Patch-Based Label Fusion for Hippocampus Segmentation -- 3 Experimental Results -- 4 Conclusion -- References -- Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI -- 1 Introduction -- 2 Methods -- 3 Results -- 3.1 Comparison of DWI with and without Additional T2 Imaging -- 3.2 Comparison of Quantitative Neuroimaging Parameters -- 3.3 Correlation of Diffusion MRI and Cerebral Blood Flow -- 4 Discussion -- References -- Interactive Whole-Heart Segmentation in Congenital Heart Disease -- 1 Introduction -- 2 Patch-Based Interactive Segmentation -- 3 Empirical Study: Active Learning for Reference Selection -- 4 Results -- 5 Conclusions -- References -- Automatic 3D US Brain Ventricle Segmentation in Pre-Term Neonates Using Multi-phase Geodesic Level-Sets with Shape Prior -- 1 Introduction -- 2 Method -- 3 Experiments and Results -- 4 Discussion and Conclusion -- References -- Multiple Surface Segmentation Using Truncated Convex Priors -- 1 Introduction -- 2 Method -- 3 Experimental Methods -- 4 Results -- 5 Discussion and Conclusion -- References -- Statistical Power in Image Segmentation: Relating Sample Size to Reference Standard Quality -- 1 Introduction -- 2 Derivation of the Sample Size Formula -- 2.1 Sample Size for Segmentation Accuracy.
2.2 Sample Size in Terms of the High Quality Reference Standard -- 3 Simulations -- 4 Results -- 5 Case Study -- 6 Discussion -- References -- Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs -- 1 Introduction -- 2 Method -- 2.1 Joint Learning of Image Regressor and Classifier -- 2.2 Deformable Segmentation with Regressor and Classifier -- 3 Experimental Results -- 4 Conclusion -- References -- Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues -- 1 Introduction -- 2 Methods -- 3 Evaluation Results -- 4 Conclusions -- References -- Brain Tissue Segmentation Based on Diffusion MRI Using l 0 Sparse-Group Representation Classification -- 1 Introduction -- 2 Approach -- 3 Experiments -- 3.1 Data -- 3.2 Diffusion Parameters -- 3.3 Comparison Methods -- 3.4 Results -- 4 Conclusion -- References -- A Latent Source Model for Patch-Based Image Segmentation -- 1 Introduction -- 2 Pointwise Segmentation and a Theoretical Guarantee -- 3 Multipoint Segmentation -- 4 Conclusions -- References -- Multi-organ Segmentation Using Shape Model Guided Local Phase Analysis -- 1 Introduction -- 2 Method -- 2.1 Quadrature Filters and Model Guided Local Phase Analysis -- 2.2 Integrating Region-Based and Edge-Based Energy in the Level-Set Method -- 2.3 Hierarchical Segmentation Pipeline and Multi-scale Phase Analysis -- 3 Experiments and Results -- 4 Discussion and Conclusion -- References -- Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information -- 1 Introduction -- 2 Methodology -- 2.1 Method Overview -- 2.2 Gap Filling -- 2.3 Generating the Second-Order Tensor Field T -- 2.4 Deriving a Saliency Map S and Preferential Directions D from T -- 2.5 Generating the Enhancement Map E -- 3 Results.
3.1 Synthetic Data -- 3.2 3D Images of Tumour Vasculature -- 4 Discussion -- References -- A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation -- 1 Introduction -- 2 Methodology -- 2.1 Iterative Markov Random Field Formulation -- 2.2 Continuous Max-Flow Optimisation -- 3 Results -- 4 Discussion -- References -- A 3D Fractal-Based Approach towards Understanding Changes in the Infarcted Heart Microvasculature -- 1 Introduction -- 2 Methods -- 2.1 Data Acquisition and Pre-processing -- 2.2 Segmentation -- 2.3 Fractal-Based Methods -- 3 Results -- 4 Conclusions -- References -- Segmenting the Uterus in Monocular Laparoscopic Images without Manual Input -- 1 Introduction and Background -- 2 Methodology -- 3 Experimental Results -- 4 Conclusion -- References -- Progressive Label Fusion Framework for Multi-atlas Segmentation by Dictionary Evolution -- 1 Introduction -- 2 Proposed Method -- 2.1 Dictionary Construction -- 2.2 Multi-layer Label Fusion -- 3 Experiments -- 3.1 Dataset and Parameters -- 3.2 Hippocampus Segmentation Results -- 4 Conclusion -- References -- Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints -- 1 Introduction -- 2 Multi-atlas Based Editing Method -- 2.1 Extraction of Local Interaction Combinations -- 2.2 Selection of Training Labels with respect to User Interactions -- 2.3 Label Fusion Based on User Interactions -- 3 Experimental Result -- 4 Conclusion -- References -- Quantitative Image Analysis II: Microscopy, Fluorescence and Histological Imagery -- Improving Convenience and Reliability of 5-ALA-Induced Fluorescent Imaging for Brain Tumor Surgery -- 1 Introduction -- 2 Concept of the Image Acquisition System -- 3 Imaging Formula -- 4 Experiment -- 4.1 Prototype System Building -- 4.2 Real Time Image Processing and Display -- 4.3 Quantitative Imaging Technique.
5 Discussion and Conclusions -- References -- Analysis of High-throughput Microscopy Videos: Catching Up with Cell Dynamics -- 1 Introduction -- 2 Methods -- 2.1 Problem Formulation -- 2.2 Time Series Analysis -- 2.3 Dynamic Shape Model -- 2.4 MAP Segmentation and Association -- 3 Experimental Results -- 4 Summary and Conclusions -- References -- Neutrophils Identification by Deep Learning and Voronoi Diagram of Clusters -- 1 Introduction -- 2 Modeling Individual Cell Appearances by CNN -- 3 Modeling Cell Context by VDC -- 4 Experiments and Evaluation -- 5 Conclusions -- References -- U-Net: Convolutional Networks for Biomedical Image Segmentation -- 1 Introduction -- 2 Network Architecture -- 3 Training -- 3.1 Data Augmentation -- 4 Experiments -- 5 Conclusion -- References -- Co-restoring Multimodal Microscopy Images -- 1 Introduction -- 2 Data Acquisition -- 3 Methodology -- 3.1 Theoretical Foundation of Microscopy Image Restoration -- 3.2 Multimodal Microscopy Image Restoration Algorithm -- 3.3 Build a Look-Up Table for Better Initialization -- 3.4 Cell Segmentation and Classification Based on Co-restoration -- 4 Experimental Results -- 4.1 Qualitative Evaluation -- 4.2 Quantitative Evaluation -- 5 Conclusion -- References -- A 3D Primary Vessel Reconstruction Framework with Serial Microscopy Images -- 1 Introduction -- 2 Methods for 3D Vessel Reconstruction -- 2.1 Automated 2D Vessel Segmentation -- 2.2 Two-Stage Vessel Association with Vessel Cross-Sections -- 3 Experimental Results and Validation -- 4 Conclusion -- References -- Adaptive Co-occurrence Differential Texton Space for HEp-2 Cells Classification -- 1 Introduction -- 2 Method -- 2.1 Co-occurrence Differential Texton -- 2.2 HEp-2 Cell Image Representation in the Adaptive CoDT Feature Space -- 3 Experiments and Comparisons -- 3.1 Datasets -- 3.2 Experimental Results -- 4 Conclusion.
References.
Record Nr. UNINA-9910484376703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging [[electronic resource] ] : 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings / / edited by Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Raghav Mehta, Chen Qin, William M. Wells
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging [[electronic resource] ] : 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings / / edited by Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Raghav Mehta, Chen Qin, William M. Wells
Autore Sudre Carole H
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (232 pages)
Disciplina 006.3
Altri autori (Persone) BaumgartnerChristian F
DalcaAdrian
MehtaRaghav
QinChen
WellsWilliam M
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Image processing - Digital techniques
Computer vision
Computers
Application software
Artificial Intelligence
Computer Imaging, Vision, Pattern Recognition and Graphics
Computing Milieux
Computer and Information Systems Applications
ISBN 3-031-44336-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Uncertainty estimation and modelling -- Out of Distribution management and domain shift robustness -- Bayesian deep learning and uncertainty calibration.
Record Nr. UNISA-996558469603316
Sudre Carole H  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging [[electronic resource] ] : 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings / / edited by Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Raghav Mehta, Chen Qin, William M. Wells
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging [[electronic resource] ] : 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings / / edited by Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Raghav Mehta, Chen Qin, William M. Wells
Autore Sudre Carole H
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (232 pages)
Disciplina 006.3
Altri autori (Persone) BaumgartnerChristian F
DalcaAdrian
MehtaRaghav
QinChen
WellsWilliam M
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Image processing - Digital techniques
Computer vision
Computers
Application software
Artificial Intelligence
Computer Imaging, Vision, Pattern Recognition and Graphics
Computing Milieux
Computer and Information Systems Applications
ISBN 3-031-44336-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Uncertainty estimation and modelling -- Out of Distribution management and domain shift robustness -- Bayesian deep learning and uncertainty calibration.
Record Nr. UNINA-9910747592003321
Sudre Carole H  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui