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Biomedical Image Registration [[electronic resource] ] : 5th International Workshop, WBIR 2012, Nashville, TN, USA, July 7-8, 2012, Proceedings / / edited by Benoit Dawant, Gary E Christensen, J. Michael Fitzpatrick, Daniel Rueckert
| Biomedical Image Registration [[electronic resource] ] : 5th International Workshop, WBIR 2012, Nashville, TN, USA, July 7-8, 2012, Proceedings / / edited by Benoit Dawant, Gary E Christensen, J. Michael Fitzpatrick, Daniel Rueckert |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XII, 308 p. 138 illus.) |
| Disciplina | 616.07/54 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Computer science—Mathematics Mathematical statistics Radiology Medicine Image Processing and Computer Vision Pattern Recognition Mathematics of Computing Probability and Statistics in Computer Science Imaging / Radiology Biomedicine, general |
| ISBN | 3-642-31340-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996465532603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Functional Imaging and Modeling of the Heart [[electronic resource] ] : 7th International Conference, FIMH 2013, London, UK, June 20-22,2013, Proceedings / / edited by Sebastien Ourselin, Daniel Rueckert, Nicolas Smith
| Functional Imaging and Modeling of the Heart [[electronic resource] ] : 7th International Conference, FIMH 2013, London, UK, June 20-22,2013, Proceedings / / edited by Sebastien Ourselin, Daniel Rueckert, Nicolas Smith |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XVIII, 494 p. 238 illus.) |
| Disciplina | 611.12 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Computer simulation Bioinformatics Computer graphics Cardiology Radiology Image Processing and Computer Vision Simulation and Modeling Computational Biology/Bioinformatics Computer Graphics Imaging / Radiology |
| ISBN | 3-642-38899-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image Driven Modeling -- Fusion of Local Activation Time Maps and Image Data to Personalize Anatomical Atrial Models -- Initial Experience with a Dynamic Imaging-Derived Immersed Boundary Model of Human Left Ventricle -- 2D Intracardiac Flow Estimation by Combining Speckle Tracking with Navier-Stokes Based Regularization: A Study with Dynamic Kernels -- Biophysical Modeling -- A Computational Bilayer Surface Model of Human Atria -- The Effect of Active Cross-Fiber Stress on Shear-Induced Myofiber Reorientation -- Effect of Fibre Orientation Optimisation in an Electromechanical Model of Left Ventricular Contraction in Rat -- Comparison of Changes in Effective Electrical Size with Activation Rate between Small Mammalian and Human Ventricular Models -- Image Analysis -- Detecting Rat Heart Myocardial Fiber Directions in X-ray Microtomography Using Coherence-Enhancing Diffusion Filtering -- Fast Fully Automatic Segmentation of the Myocardium in 2D Cine MR Images -- Cardiac Microstructure Estimation from Multi-photon Confocal Microscopy Images -- Atlas Construction for Cardiac Velocity Profiles Segmentation Using a Lumped Computational Model of Circulatory System -- Similarity Retrieval of Angiogram Images BASED on a Flexible Shape Model -- Biophysical Modeling -- Fast Simulation of Mitral Annuloplasty for Surgical Planning -- Effects of Anodal Cardiac Stimulation on Vm and Ca2+ i Distributions: -- A Bidomain Study -- Understanding Prenatal Brain Sparing by Flow Redistribution. Based on a Lumped Model of the Fetal Circulation -- Personalization of Cardiac Fiber Orientations from Image Data Using the Unscented Kalman Filter -- Cardiac Imaging -- High Resolution Extraction of Local Human Cardiac Fibre Orientations -- Three-Modality Registration for Guidance of Minimally Invasive Cardiac Interventions -- Noninvasive Localization of Ectopic Foci: A New Optimization Approach for Simultaneous Reconstruction of Transmembrane Voltages and Epicardial Potentials -- Image Analysis -- Multi-atlas Propagation Whole Heart Segmentation from MRI and CTA Using a Local Normalised Correlation Coefficient Criterion -- An Image-Based Catheter Segmentation Algorithm for Optimized Electrophysiology Procedure Workflow -- Fast Left Ventricle Tracking in 3D Echocardiographic Data Using Anatomical Affine Optical Flow -- Parameter Estimation -- Kalman Filter with Augmented Measurement Model: An ECG Imaging Simulation Study -- Estimation of In Vivo Myocardial Fibre Strain Using an Architectural Atlas of the Human Heart -- Changes in In Vivo Myocardial Tissue Properties Due to Heart Failure -- Estimation of Conductivity Tensors from Human Ventricular Optical Mapping Recordings -- Modeling Methods -- Data-Driven Reduction of a Cardiac Myofilament Model -- An Inverse Spectral Method to Localize Discordant Alternans Regions on the Heart from Body Surface Measurements -- From Medical Images to Fast Computational Models of Heart Electromechanics: An Integrated Framework towards Clinical Use -- Dimensional Reduction of Cardiac Models for Effective Validation and Calibration -- Image Analysis -- Automatic Electrode and CT/MR Image Co-localisation for Electrocardiographic Imaging -- Detection of Vortical Structures in 4D Velocity Encoded Phase Contrast MRI Data Using Vector Template Matching -- Myocardial Deformation from Local Frequency Estimation in Tagging MRI -- Spatio-temporal Registration of 2D US and 3D MR Images for the Characterization of Hypertrophic Cardiomyopathy -- A Semi-automatic Approach for Segmentation of Three-Dimensional Microscopic Image Stacks of Cardiac Tissue -- Motion Modeling -- Influence of the Grid Topology of Free-Form Deformation Models on the Performance of 3D Strain Estimation in Echocardiography -- Cardiac Motion and Deformation Estimation from Tagged MRI Sequences Using a Temporal Coherent Image Registration Framework -- Speckle Tracking in Interpolated Echocardiography to Estimate Heart Motion -- Variational Myocardial Tracking from Cine-MRI with Non-linear Regularization: Validation of Radial Displacements vs. Tagged-MRI -- Improving Efficiency of Data Assimilation Procedure for a Biomechanical Heart Model by Representing Surfaces as Currents -- Modeling Methods -- Surface-Based Electrophysiology Modeling and Assessment of Physiological Simulations in Atria -- Flow Analysis in Cardiac Chambers Combining Phase Contrast, 3D Tagged and Cine MRI -- Modelling Parameter Role on Accuracy of Cardiac Perfusion Quantification -- Texture Mapping by Isometric Spherical Embedding for the Visualization and Assessment of Regional Myocardial Function -- Biophysical Modeling -- Evaluation of Different Mapping Techniques for the Integration of Electro-Anatomical Voltage and Imaging Data of the Left Ventricle -- Atrial Fibrosis and Atrial Fibrillation: A Computer Simulation in the Posterior Left Atrium -- Collagen Bundle Orientation Explains Aortic Valve Leaflet Coaptation -- A High-Fidelity and Micro-anatomically Accurate 3D Finite Element Model for Simulations of Functional Mitral Valve -- Image Analysis -- Determination of Atrial Myofibre Orientation Using Structure Tensor Analysis for Biophysical Modelling -- Large Scale Left Ventricular Shape Atlas Using Automated Model Fitting to Contours -- Atlases of Cardiac Fiber Differential Geometry -- Manifold Learning Characterization of Abnormal Myocardial Motion Patterns: Application to CRT-Induced Changes -- Motion Modeling -- Intraventricular Dyssynchrony Assessment Using Regional Contraction from LV Motion Models -- Applying a Level Set Method for Resolving Physiologic Motions in Free-Breathing and Non-gated Cardiac MRI -- Right Ventricular Strain Analysis from 3D Echocardiography by Using Temporally Diffeomorphic Motion Estimation -- Regional Analysis of Left Ventricle Function Using a Cardiac-Specific Polyaffine Motion Model. |
| Record Nr. | UNISA-996465835203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Functional Imaging and Modeling of the Heart [[electronic resource] ] : 7th International Conference, FIMH 2013, London, UK, June 20-22,2013, Proceedings / / edited by Sebastien Ourselin, Daniel Rueckert, Nicolas Smith
| Functional Imaging and Modeling of the Heart [[electronic resource] ] : 7th International Conference, FIMH 2013, London, UK, June 20-22,2013, Proceedings / / edited by Sebastien Ourselin, Daniel Rueckert, Nicolas Smith |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XVIII, 494 p. 238 illus.) |
| Disciplina | 611.12 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Computer simulation Bioinformatics Computer graphics Cardiology Radiology Image Processing and Computer Vision Simulation and Modeling Computational Biology/Bioinformatics Computer Graphics Imaging / Radiology |
| ISBN | 3-642-38899-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image Driven Modeling -- Fusion of Local Activation Time Maps and Image Data to Personalize Anatomical Atrial Models -- Initial Experience with a Dynamic Imaging-Derived Immersed Boundary Model of Human Left Ventricle -- 2D Intracardiac Flow Estimation by Combining Speckle Tracking with Navier-Stokes Based Regularization: A Study with Dynamic Kernels -- Biophysical Modeling -- A Computational Bilayer Surface Model of Human Atria -- The Effect of Active Cross-Fiber Stress on Shear-Induced Myofiber Reorientation -- Effect of Fibre Orientation Optimisation in an Electromechanical Model of Left Ventricular Contraction in Rat -- Comparison of Changes in Effective Electrical Size with Activation Rate between Small Mammalian and Human Ventricular Models -- Image Analysis -- Detecting Rat Heart Myocardial Fiber Directions in X-ray Microtomography Using Coherence-Enhancing Diffusion Filtering -- Fast Fully Automatic Segmentation of the Myocardium in 2D Cine MR Images -- Cardiac Microstructure Estimation from Multi-photon Confocal Microscopy Images -- Atlas Construction for Cardiac Velocity Profiles Segmentation Using a Lumped Computational Model of Circulatory System -- Similarity Retrieval of Angiogram Images BASED on a Flexible Shape Model -- Biophysical Modeling -- Fast Simulation of Mitral Annuloplasty for Surgical Planning -- Effects of Anodal Cardiac Stimulation on Vm and Ca2+ i Distributions: -- A Bidomain Study -- Understanding Prenatal Brain Sparing by Flow Redistribution. Based on a Lumped Model of the Fetal Circulation -- Personalization of Cardiac Fiber Orientations from Image Data Using the Unscented Kalman Filter -- Cardiac Imaging -- High Resolution Extraction of Local Human Cardiac Fibre Orientations -- Three-Modality Registration for Guidance of Minimally Invasive Cardiac Interventions -- Noninvasive Localization of Ectopic Foci: A New Optimization Approach for Simultaneous Reconstruction of Transmembrane Voltages and Epicardial Potentials -- Image Analysis -- Multi-atlas Propagation Whole Heart Segmentation from MRI and CTA Using a Local Normalised Correlation Coefficient Criterion -- An Image-Based Catheter Segmentation Algorithm for Optimized Electrophysiology Procedure Workflow -- Fast Left Ventricle Tracking in 3D Echocardiographic Data Using Anatomical Affine Optical Flow -- Parameter Estimation -- Kalman Filter with Augmented Measurement Model: An ECG Imaging Simulation Study -- Estimation of In Vivo Myocardial Fibre Strain Using an Architectural Atlas of the Human Heart -- Changes in In Vivo Myocardial Tissue Properties Due to Heart Failure -- Estimation of Conductivity Tensors from Human Ventricular Optical Mapping Recordings -- Modeling Methods -- Data-Driven Reduction of a Cardiac Myofilament Model -- An Inverse Spectral Method to Localize Discordant Alternans Regions on the Heart from Body Surface Measurements -- From Medical Images to Fast Computational Models of Heart Electromechanics: An Integrated Framework towards Clinical Use -- Dimensional Reduction of Cardiac Models for Effective Validation and Calibration -- Image Analysis -- Automatic Electrode and CT/MR Image Co-localisation for Electrocardiographic Imaging -- Detection of Vortical Structures in 4D Velocity Encoded Phase Contrast MRI Data Using Vector Template Matching -- Myocardial Deformation from Local Frequency Estimation in Tagging MRI -- Spatio-temporal Registration of 2D US and 3D MR Images for the Characterization of Hypertrophic Cardiomyopathy -- A Semi-automatic Approach for Segmentation of Three-Dimensional Microscopic Image Stacks of Cardiac Tissue -- Motion Modeling -- Influence of the Grid Topology of Free-Form Deformation Models on the Performance of 3D Strain Estimation in Echocardiography -- Cardiac Motion and Deformation Estimation from Tagged MRI Sequences Using a Temporal Coherent Image Registration Framework -- Speckle Tracking in Interpolated Echocardiography to Estimate Heart Motion -- Variational Myocardial Tracking from Cine-MRI with Non-linear Regularization: Validation of Radial Displacements vs. Tagged-MRI -- Improving Efficiency of Data Assimilation Procedure for a Biomechanical Heart Model by Representing Surfaces as Currents -- Modeling Methods -- Surface-Based Electrophysiology Modeling and Assessment of Physiological Simulations in Atria -- Flow Analysis in Cardiac Chambers Combining Phase Contrast, 3D Tagged and Cine MRI -- Modelling Parameter Role on Accuracy of Cardiac Perfusion Quantification -- Texture Mapping by Isometric Spherical Embedding for the Visualization and Assessment of Regional Myocardial Function -- Biophysical Modeling -- Evaluation of Different Mapping Techniques for the Integration of Electro-Anatomical Voltage and Imaging Data of the Left Ventricle -- Atrial Fibrosis and Atrial Fibrillation: A Computer Simulation in the Posterior Left Atrium -- Collagen Bundle Orientation Explains Aortic Valve Leaflet Coaptation -- A High-Fidelity and Micro-anatomically Accurate 3D Finite Element Model for Simulations of Functional Mitral Valve -- Image Analysis -- Determination of Atrial Myofibre Orientation Using Structure Tensor Analysis for Biophysical Modelling -- Large Scale Left Ventricular Shape Atlas Using Automated Model Fitting to Contours -- Atlases of Cardiac Fiber Differential Geometry -- Manifold Learning Characterization of Abnormal Myocardial Motion Patterns: Application to CRT-Induced Changes -- Motion Modeling -- Intraventricular Dyssynchrony Assessment Using Regional Contraction from LV Motion Models -- Applying a Level Set Method for Resolving Physiologic Motions in Free-Breathing and Non-gated Cardiac MRI -- Right Ventricular Strain Analysis from 3D Echocardiography by Using Temporally Diffeomorphic Motion Estimation -- Regional Analysis of Left Ventricle Function Using a Cardiac-Specific Polyaffine Motion Model. |
| Record Nr. | UNINA-9910483109503321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Learning for Medical Image Reconstruction [[electronic resource] ] : Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Florian Knoll, Andreas Maier, Daniel Rueckert, Jong Chul Ye
| Machine Learning for Medical Image Reconstruction [[electronic resource] ] : Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Florian Knoll, Andreas Maier, Daniel Rueckert, Jong Chul Ye |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (ix, 266 pages) |
| Disciplina | 610.28563 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Artificial intelligence
Education—Data processing Application software Bioinformatics Optical data processing Health informatics Artificial Intelligence Computers and Education Computer Appl. in Social and Behavioral Sciences Computational Biology/Bioinformatics Image Processing and Computer Vision Health Informatics |
| ISBN | 3-030-33843-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deep Learning for Magnetic Resonance Imaging -- Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction- Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging -- Fast Dynamic Perfusion and Angiography Reconstruction using an end-to-end 3D Convolutional Neural Network -- APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network -- Accelerated MRI Reconstruction with Dual-domain Generative Adversarial Network -- Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator -- Joint Multi-Anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions -- Modeling and Analysis Brain Development via Discriminative Dictionary Learning -- Deep Learning for Computed Tomography -- Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval -- Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior -- Measuring CT Reconstruction Quality with Deep Convolutional Neural Networks -- Deep Learning based Metal Inpainting in the Projection Domain: Initial Results -- Deep Learning for General Image Reconstruction -- Flexible Conditional Image Generation of Missing Data with Learned Mental Maps -- Spatiotemporal PET reconstruction using ML-EM with learned diffeomorphic deformation -- Stain Style Transfer using Transitive Adversarial Networks -- Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer -- Deep Learning based approach to quantification of PET tracer uptake in small tumors -- Task-GAN: Improving Generative Adversarial Network for Image Reconstruction -- Gamma Source Location Learning from Synthetic Multi-Pinhole Collimator Data -- Neural Denoising of Ultra-Low Dose Mammography -- Image Reconstruction in a Manifold of Image Patches: Application to Whole-fetus Ultrasound Imaging -- Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy -- TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis -- PredictUS: A Method to Extend the Resolution-Precision Trade-off in Quantitative Ultrasound Image Reconstruction. |
| Record Nr. | UNINA-9910349269003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Learning for Medical Image Reconstruction [[electronic resource] ] : Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Florian Knoll, Andreas Maier, Daniel Rueckert, Jong Chul Ye
| Machine Learning for Medical Image Reconstruction [[electronic resource] ] : Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Florian Knoll, Andreas Maier, Daniel Rueckert, Jong Chul Ye |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (ix, 266 pages) |
| Disciplina | 610.28563 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Artificial intelligence
Education—Data processing Application software Bioinformatics Optical data processing Health informatics Artificial Intelligence Computers and Education Computer Appl. in Social and Behavioral Sciences Computational Biology/Bioinformatics Image Processing and Computer Vision Health Informatics |
| ISBN | 3-030-33843-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deep Learning for Magnetic Resonance Imaging -- Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction- Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging -- Fast Dynamic Perfusion and Angiography Reconstruction using an end-to-end 3D Convolutional Neural Network -- APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network -- Accelerated MRI Reconstruction with Dual-domain Generative Adversarial Network -- Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator -- Joint Multi-Anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions -- Modeling and Analysis Brain Development via Discriminative Dictionary Learning -- Deep Learning for Computed Tomography -- Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval -- Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior -- Measuring CT Reconstruction Quality with Deep Convolutional Neural Networks -- Deep Learning based Metal Inpainting in the Projection Domain: Initial Results -- Deep Learning for General Image Reconstruction -- Flexible Conditional Image Generation of Missing Data with Learned Mental Maps -- Spatiotemporal PET reconstruction using ML-EM with learned diffeomorphic deformation -- Stain Style Transfer using Transitive Adversarial Networks -- Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer -- Deep Learning based approach to quantification of PET tracer uptake in small tumors -- Task-GAN: Improving Generative Adversarial Network for Image Reconstruction -- Gamma Source Location Learning from Synthetic Multi-Pinhole Collimator Data -- Neural Denoising of Ultra-Low Dose Mammography -- Image Reconstruction in a Manifold of Image Patches: Application to Whole-fetus Ultrasound Imaging -- Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy -- TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis -- PredictUS: A Method to Extend the Resolution-Precision Trade-off in Quantitative Ultrasound Image Reconstruction. |
| Record Nr. | UNISA-996466288703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning for Medical Image Reconstruction [[electronic resource] ] : First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings / / edited by Florian Knoll, Andreas Maier, Daniel Rueckert
| Machine Learning for Medical Image Reconstruction [[electronic resource] ] : First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings / / edited by Florian Knoll, Andreas Maier, Daniel Rueckert |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (X, 158 p. 67 illus.) |
| Disciplina | 616.07540285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Artificial intelligence
Optical data processing Computer communication systems Logic design Health informatics Artificial Intelligence Image Processing and Computer Vision Computer Communication Networks Logic Design Health Informatics |
| ISBN | 3-030-00129-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deep learning for magnetic resonance imaging -- Deep learning for computed tomography -- Deep learning for general image reconstruction. |
| Record Nr. | UNINA-9910349407103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Learning for Medical Image Reconstruction [[electronic resource] ] : First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings / / edited by Florian Knoll, Andreas Maier, Daniel Rueckert
| Machine Learning for Medical Image Reconstruction [[electronic resource] ] : First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings / / edited by Florian Knoll, Andreas Maier, Daniel Rueckert |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (X, 158 p. 67 illus.) |
| Disciplina | 616.07540285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Artificial intelligence
Optical data processing Computer communication systems Logic design Health informatics Artificial Intelligence Image Processing and Computer Vision Computer Communication Networks Logic Design Health Informatics |
| ISBN | 3-030-00129-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deep learning for magnetic resonance imaging -- Deep learning for computed tomography -- Deep learning for general image reconstruction. |
| Record Nr. | UNISA-996466192303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009 [[electronic resource] ] : 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II / / edited by Guang-Zhong Yang, David J. Hawkes, Daniel Rueckert, Alison Noble, Chris Taylor
| Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009 [[electronic resource] ] : 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II / / edited by Guang-Zhong Yang, David J. Hawkes, Daniel Rueckert, Alison Noble, Chris Taylor |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XLIII, 1127 p.) |
| Disciplina |
006.6
006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Computer simulation User interfaces (Computer systems) Artificial intelligence Radiology Image Processing and Computer Vision Simulation and Modeling User Interfaces and Human Computer Interaction Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Imaging / Radiology |
| ISBN | 3-642-04271-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Shape Modelling and Analysis -- Motion Analysis, Physical Based Modelling and Image Reconstruction -- Neuro, Cell and Multiscale Image Analysis -- Image Analysis and Computer Aided Diagnosis -- Image Segmentation and Analysis. |
| Record Nr. | UNINA-9910484680003321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009 [[electronic resource] ] : 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part I / / edited by Guang-Zhong Yang, David J. Hawkes, Daniel Rueckert, Alison Noble, Chris Taylor
| Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009 [[electronic resource] ] : 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part I / / edited by Guang-Zhong Yang, David J. Hawkes, Daniel Rueckert, Alison Noble, Chris Taylor |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XLIII, 1037 p.) |
| Disciplina | 004 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Computer simulation User interfaces (Computer systems) Artificial intelligence Radiology Image Processing and Computer Vision Simulation and Modeling User Interfaces and Human Computer Interaction Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Imaging / Radiology |
| ISBN | 3-642-04268-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cardiovascular Image Guided Intervention and Robotics -- Surgical Navigation and Tissue Interaction -- Intra-operative Optical Imaging and Endoscopic Navigation -- Motion Modelling and Image Formation -- Image Registration -- Modelling and Segmentation -- Image Segmentation and Classification -- Segmentation and Atlas Based Techniques -- Neuroimage Analysis -- Surgical Navigation and Robotics -- Image Registration -- Neuroimage Analysis: Structure and Function. |
| Record Nr. | UNINA-9910483448803321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009 [[electronic resource] ] : 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II / / edited by Guang-Zhong Yang, David J. Hawkes, Daniel Rueckert, Alison Noble, Chris Taylor
| Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009 [[electronic resource] ] : 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II / / edited by Guang-Zhong Yang, David J. Hawkes, Daniel Rueckert, Alison Noble, Chris Taylor |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XLIII, 1127 p.) |
| Disciplina |
006.6
006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Computer simulation User interfaces (Computer systems) Artificial intelligence Radiology Image Processing and Computer Vision Simulation and Modeling User Interfaces and Human Computer Interaction Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Imaging / Radiology |
| ISBN | 3-642-04271-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Shape Modelling and Analysis -- Motion Analysis, Physical Based Modelling and Image Reconstruction -- Neuro, Cell and Multiscale Image Analysis -- Image Analysis and Computer Aided Diagnosis -- Image Segmentation and Analysis. |
| Record Nr. | UNISA-996465326803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
