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Biblioteca

MARC Lista (tabellare)
Computational Methods and Clinical Applications for Spine Imaging [[electronic resource] ] : 4th International Workshop and Challenge, CSI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers / / edited by Jianhua Yao, Tomaž Vrtovec, Guoyan Zheng, Alejandro Frangi, Ben Glocker, Shuo Li
Computational Methods and Clinical Applications for Spine Imaging [[electronic resource] ] : 4th International Workshop and Challenge, CSI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers / / edited by Jianhua Yao, Tomaž Vrtovec, Guoyan Zheng, Alejandro Frangi, Ben Glocker, Shuo Li
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (X, 147 p. 60 illus.)
Disciplina 006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Pattern recognition
Computer graphics
Artificial intelligence
Computer simulation
Algorithms
Image Processing and Computer Vision
Pattern Recognition
Computer Graphics
Artificial Intelligence
Simulation and Modeling
Algorithm Analysis and Problem Complexity
ISBN 3-319-55050-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto State-of-the-art techniques -- Novel and emerging analysis and visualization techniques -- Clinical challenges and open problems -- Major aspects of problems related to spine imaging -- Including clinical applications of spine imaging -- Computer aided diagnosis of spine conditions -- Computer aided detection of spine-related diseases -- Emerging computational imaging techniques for spinal diseases,.-Fast 3D reconstruction of spine, feature extraction, multiscale analysis, pattern recognition, image enhancement of spine imaging -- Image-guided spine intervention and treatment, multimodal image registration and fusion for spine imaging -- Novel visualization techniques, segmentation techniques for spine imaging, statistical and geometric modeling for spine and vertebra, spine and vertebra localization.
Record Nr. UNINA-9910483822503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Methods and Clinical Applications for Spine Imaging [[electronic resource] ] : Third International Workshop and Challenge, CSI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings / / edited by Tomaž Vrtovec, Jianhua Yao, Ben Glocker, Tobias Klinder, Alejandro Frangi, Guoyan Zheng, Shuo Li
Computational Methods and Clinical Applications for Spine Imaging [[electronic resource] ] : Third International Workshop and Challenge, CSI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings / / edited by Tomaž Vrtovec, Jianhua Yao, Ben Glocker, Tobias Klinder, Alejandro Frangi, Guoyan Zheng, Shuo Li
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (X, 159 p. 61 illus.)
Disciplina 616.730754
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Pattern recognition
Computer graphics
Artificial intelligence
Computer simulation
Algorithms
Image Processing and Computer Vision
Pattern Recognition
Computer Graphics
Artificial Intelligence
Simulation and Modeling
Algorithm Analysis and Problem Complexity
ISBN 3-319-41827-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Automated Pedicle Screw Size and Trajectory Planning by Maximization of Fastening Strength -- Automatic Modic Changes Classification in Spinal MRI -- Patient Registration via Topologically Encoded Depth Projection Images in Spine Surgery -- Automatic Localisation of Vertebrae in DXA Images Using Random Forest Regression Voting -- Robust CT to US 3D-3D Registration by Using Principal Component Analysis and Kalman Filtering -- Cortical Bone Thickness Estimation in CT Images: A Model-Based Approach Without Profile Fitting -- Multi-Atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT -- Statistical Shape Model Construction of Lumbar Vertebrae and Intervertebral Discs in Segmentation for Discectomy Surgery Simulation -- Automatic Intervertebral Discs Localization and Segmentation: A Vertebral Approach -- Segmentation of Intervertebral Discs in 3D MRI Data Using Multi-Atlas Based Registration -- Deformable Model-Based Segmentation of Intervertebral Discs from MR Spine Images by Using the SSC Descriptor -- 3D Intervertebral Disc Segmentation from MRI Using Supervoxel-Based CRFs -- Automatic Intervertebral Disc Localization and Segmentation in 3D MR Images Based on Regression Forests and Active Contours -- Localization and Segmentation of 3D Intervertebral Discs from MR Images via a Learning Based Method: A Validation Framework -- Automated Intervertebral Disc Segmentation Using Probabilistic Shape Estimation and Active Shape Models. .
Record Nr. UNINA-9910484764303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Methods and Clinical Applications for Spine Imaging [[electronic resource] ] : Third International Workshop and Challenge, CSI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings / / edited by Tomaž Vrtovec, Jianhua Yao, Ben Glocker, Tobias Klinder, Alejandro Frangi, Guoyan Zheng, Shuo Li
Computational Methods and Clinical Applications for Spine Imaging [[electronic resource] ] : Third International Workshop and Challenge, CSI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings / / edited by Tomaž Vrtovec, Jianhua Yao, Ben Glocker, Tobias Klinder, Alejandro Frangi, Guoyan Zheng, Shuo Li
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (X, 159 p. 61 illus.)
Disciplina 616.730754
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Pattern recognition
Computer graphics
Artificial intelligence
Computer simulation
Algorithms
Image Processing and Computer Vision
Pattern Recognition
Computer Graphics
Artificial Intelligence
Simulation and Modeling
Algorithm Analysis and Problem Complexity
ISBN 3-319-41827-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Automated Pedicle Screw Size and Trajectory Planning by Maximization of Fastening Strength -- Automatic Modic Changes Classification in Spinal MRI -- Patient Registration via Topologically Encoded Depth Projection Images in Spine Surgery -- Automatic Localisation of Vertebrae in DXA Images Using Random Forest Regression Voting -- Robust CT to US 3D-3D Registration by Using Principal Component Analysis and Kalman Filtering -- Cortical Bone Thickness Estimation in CT Images: A Model-Based Approach Without Profile Fitting -- Multi-Atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT -- Statistical Shape Model Construction of Lumbar Vertebrae and Intervertebral Discs in Segmentation for Discectomy Surgery Simulation -- Automatic Intervertebral Discs Localization and Segmentation: A Vertebral Approach -- Segmentation of Intervertebral Discs in 3D MRI Data Using Multi-Atlas Based Registration -- Deformable Model-Based Segmentation of Intervertebral Discs from MR Spine Images by Using the SSC Descriptor -- 3D Intervertebral Disc Segmentation from MRI Using Supervoxel-Based CRFs -- Automatic Intervertebral Disc Localization and Segmentation in 3D MR Images Based on Regression Forests and Active Contours -- Localization and Segmentation of 3D Intervertebral Discs from MR Images via a Learning Based Method: A Validation Framework -- Automated Intervertebral Disc Segmentation Using Probabilistic Shape Estimation and Active Shape Models. .
Record Nr. UNISA-996465678203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computational Methods and Clinical Applications for Spine Imaging [[electronic resource] ] : 4th International Workshop and Challenge, CSI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers / / edited by Jianhua Yao, Tomaž Vrtovec, Guoyan Zheng, Alejandro Frangi, Ben Glocker, Shuo Li
Computational Methods and Clinical Applications for Spine Imaging [[electronic resource] ] : 4th International Workshop and Challenge, CSI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers / / edited by Jianhua Yao, Tomaž Vrtovec, Guoyan Zheng, Alejandro Frangi, Ben Glocker, Shuo Li
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (X, 147 p. 60 illus.)
Disciplina 006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Pattern recognition
Computer graphics
Artificial intelligence
Computer simulation
Algorithms
Image Processing and Computer Vision
Pattern Recognition
Computer Graphics
Artificial Intelligence
Simulation and Modeling
Algorithm Analysis and Problem Complexity
ISBN 3-319-55050-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto State-of-the-art techniques -- Novel and emerging analysis and visualization techniques -- Clinical challenges and open problems -- Major aspects of problems related to spine imaging -- Including clinical applications of spine imaging -- Computer aided diagnosis of spine conditions -- Computer aided detection of spine-related diseases -- Emerging computational imaging techniques for spinal diseases,.-Fast 3D reconstruction of spine, feature extraction, multiscale analysis, pattern recognition, image enhancement of spine imaging -- Image-guided spine intervention and treatment, multimodal image registration and fusion for spine imaging -- Novel visualization techniques, segmentation techniques for spine imaging, statistical and geometric modeling for spine and vertebra, spine and vertebra localization.
Record Nr. UNISA-996466086603316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computational Methods and Clinical Applications in Musculoskeletal Imaging [[electronic resource] ] : 5th International Workshop, MSKI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised Selected Papers / / edited by Ben Glocker, Jianhua Yao, Tomaž Vrtovec, Alejandro Frangi, Guoyan Zheng
Computational Methods and Clinical Applications in Musculoskeletal Imaging [[electronic resource] ] : 5th International Workshop, MSKI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised Selected Papers / / edited by Ben Glocker, Jianhua Yao, Tomaž Vrtovec, Alejandro Frangi, Guoyan Zheng
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XII, 161 p. 71 illus.)
Disciplina 616.70754
Collana Computer Communication Networks and Telecommunications
Soggetto topico Optical data processing
Artificial intelligence
Computer communication systems
Image Processing and Computer Vision
Artificial Intelligence
Computer Communication Networks
ISBN 3-319-74113-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Localization of Bone Surfaces from Ultrasound Data Using Local Phase Information and Signal Transmission Maps -- Shape-aware Deep Convolutional Neural Network for Vertebrae Segmentation -- Automated Characterization of Body Composition and Frailty with Clinically Acquired CT -- Unfolded cylindrical projection for rib fracture diagnosis -- 3D Cobb Angle Measurements from Scoliotic Mesh Models with Varying Face-Vertex Density -- Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context Features -- Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients -- Reconstruction of 3D muscle fiber structure using high resolution cryosectioned volume -- Segmentation of Pathological Spines in CT Images Using a Two-Way CNN and a Collision-Based Model -- Attention-driven deep learning for pathological spine segmentation -- Automatic Full Femur Segmentation from Computed Tomography Datasets using an Atlas-Based Approach -- Classification of Osteoporotic Vertebral Fractures using Shape and Appearance Modelling -- DSMS-FCN: A Deeply Supervised Multi-Scale Fully Convolutional Network for Automatic Segmentation of Intervertebral Disc in 3D MR Images.
Record Nr. UNISA-996465480803316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computational Methods and Clinical Applications in Musculoskeletal Imaging [[electronic resource] ] : 5th International Workshop, MSKI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised Selected Papers / / edited by Ben Glocker, Jianhua Yao, Tomaž Vrtovec, Alejandro Frangi, Guoyan Zheng
Computational Methods and Clinical Applications in Musculoskeletal Imaging [[electronic resource] ] : 5th International Workshop, MSKI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised Selected Papers / / edited by Ben Glocker, Jianhua Yao, Tomaž Vrtovec, Alejandro Frangi, Guoyan Zheng
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XII, 161 p. 71 illus.)
Disciplina 616.70754
Collana Computer Communication Networks and Telecommunications
Soggetto topico Optical data processing
Artificial intelligence
Computer communication systems
Image Processing and Computer Vision
Artificial Intelligence
Computer Communication Networks
ISBN 3-319-74113-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Localization of Bone Surfaces from Ultrasound Data Using Local Phase Information and Signal Transmission Maps -- Shape-aware Deep Convolutional Neural Network for Vertebrae Segmentation -- Automated Characterization of Body Composition and Frailty with Clinically Acquired CT -- Unfolded cylindrical projection for rib fracture diagnosis -- 3D Cobb Angle Measurements from Scoliotic Mesh Models with Varying Face-Vertex Density -- Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context Features -- Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients -- Reconstruction of 3D muscle fiber structure using high resolution cryosectioned volume -- Segmentation of Pathological Spines in CT Images Using a Two-Way CNN and a Collision-Based Model -- Attention-driven deep learning for pathological spine segmentation -- Automatic Full Femur Segmentation from Computed Tomography Datasets using an Atlas-Based Approach -- Classification of Osteoporotic Vertebral Fractures using Shape and Appearance Modelling -- DSMS-FCN: A Deeply Supervised Multi-Scale Fully Convolutional Network for Automatic Segmentation of Intervertebral Disc in 3D MR Images.
Record Nr. UNINA-9910349261903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
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. 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 [[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. UNINA-9910484376603321
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 [[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
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