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Simulation and Synthesis in Medical Imaging [[electronic resource] ] : 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Ninon Burgos, Ali Gooya, David Svoboda
| Simulation and Synthesis in Medical Imaging [[electronic resource] ] : 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Ninon Burgos, Ali Gooya, David Svoboda |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (X, 162 p. 78 illus., 60 illus. in color.) |
| Disciplina | 616.0754 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Artificial intelligence Health informatics Computer science—Mathematics Image Processing and Computer Vision Artificial Intelligence Health Informatics Mathematics of Computing |
| ISBN | 3-030-32778-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Empirical Bayesian Mixture Models for Medical Image Translation -- Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning -- Unpaired Multi-Contrast MR Image Synthesis using Generative Adversarial Networks -- Unsupervised Retina Image Synthesis via Disentangled Representation Learning -- Pseudo-normal PET Synthesis with Generative Adversarial Networks for Localising Hypometabolism in Epilepsies -- Breast Mass Detection in Mammograms via Blending Adversarial Learning -- Tunable CT lung nodule synthesis conditioned on background image and semantic features -- Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis -- Towards Annotation-Free Segmentation of Fluorescently Labeled Cell Membranes in Confocal Microscopy Images -- Intelligent image synthesis to attack a segmentation CNN using adversarial learning -- Physics-informed brain MRI segmentation -- 3D Medical Image Synthesis by Factorised Representation and Deformable Model Learning -- Cycle-consistent training for Reducing Negative Jacobian Determinant in Deep Registration Networks -- iSMORE: an iterative self super-resolution algorithm -- An Optical Model of Whole Blood for Detecting Platelets in Lens-Free Images -- Evaluation of the realism of an MRI simulator for stroke lesion prediction using convolutional neural network. |
| Record Nr. | UNISA-996466303603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Simulation and Synthesis in Medical Imaging : 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Ninon Burgos, Ali Gooya, David Svoboda
| Simulation and Synthesis in Medical Imaging : 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Ninon Burgos, Ali Gooya, David Svoboda |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (X, 162 p. 78 illus., 60 illus. in color.) |
| Disciplina |
616.0754
006.6 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Artificial intelligence Health informatics Computer science—Mathematics Image Processing and Computer Vision Artificial Intelligence Health Informatics Mathematics of Computing |
| ISBN | 3-030-32778-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Empirical Bayesian Mixture Models for Medical Image Translation -- Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning -- Unpaired Multi-Contrast MR Image Synthesis using Generative Adversarial Networks -- Unsupervised Retina Image Synthesis via Disentangled Representation Learning -- Pseudo-normal PET Synthesis with Generative Adversarial Networks for Localising Hypometabolism in Epilepsies -- Breast Mass Detection in Mammograms via Blending Adversarial Learning -- Tunable CT lung nodule synthesis conditioned on background image and semantic features -- Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis -- Towards Annotation-Free Segmentation of Fluorescently Labeled Cell Membranes in Confocal Microscopy Images -- Intelligent image synthesis to attack a segmentation CNN using adversarial learning -- Physics-informed brain MRI segmentation -- 3D Medical Image Synthesis by Factorised Representation and Deformable Model Learning -- Cycle-consistent training for Reducing Negative Jacobian Determinant in Deep Registration Networks -- iSMORE: an iterative self super-resolution algorithm -- An Optical Model of Whole Blood for Detecting Platelets in Lens-Free Images -- Evaluation of the realism of an MRI simulator for stroke lesion prediction using convolutional neural network. |
| Record Nr. | UNINA-9910349272703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Simulation and Synthesis in Medical Imaging [[electronic resource] ] : Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings / / edited by Ali Gooya, Orcun Goksel, Ipek Oguz, Ninon Burgos
| Simulation and Synthesis in Medical Imaging [[electronic resource] ] : Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings / / edited by Ali Gooya, Orcun Goksel, Ipek Oguz, Ninon Burgos |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (X, 140 p. 58 illus.) |
| Disciplina | 616.07540285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Health informatics Artificial intelligence Computer security Image Processing and Computer Vision Health Informatics Artificial Intelligence Systems and Data Security |
| ISBN | 3-030-00536-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks -- Data Augmentation Using synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI -- Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation -- Cross-modality Image Synthesis from Unpaired Data Using CycleGAN: Effects of Gradient Consistency Loss and Training Data Size -- A Machine Learning Approach to Diffusion MRI Partial Volume Estimation -- Unsupervised Learning for Cross-domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks -- Deep Boosted Regression for MR TO CT Synthesis -- Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with Filopodia -- MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net for Multi-Modal Alzheimer’s Classification -- Tubular Network Formation Process Using 3D Cellular Potts Model -- Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images -- Lung Nodule Synthesis Using CNN-based Latent Data Representation -- RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours -- Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models. . |
| Record Nr. | UNISA-996466214803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Simulation and Synthesis in Medical Imaging : Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings / / edited by Ali Gooya, Orcun Goksel, Ipek Oguz, Ninon Burgos
| Simulation and Synthesis in Medical Imaging : Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings / / edited by Ali Gooya, Orcun Goksel, Ipek Oguz, Ninon Burgos |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (X, 140 p. 58 illus.) |
| Disciplina |
616.07540285
006.6 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Health informatics Artificial intelligence Computer security Image Processing and Computer Vision Health Informatics Artificial Intelligence Systems and Data Security |
| ISBN | 3-030-00536-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks -- Data Augmentation Using synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI -- Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation -- Cross-modality Image Synthesis from Unpaired Data Using CycleGAN: Effects of Gradient Consistency Loss and Training Data Size -- A Machine Learning Approach to Diffusion MRI Partial Volume Estimation -- Unsupervised Learning for Cross-domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks -- Deep Boosted Regression for MR TO CT Synthesis -- Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with Filopodia -- MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net for Multi-Modal Alzheimer’s Classification -- Tubular Network Formation Process Using 3D Cellular Potts Model -- Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images -- Lung Nodule Synthesis Using CNN-based Latent Data Representation -- RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours -- Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models. . |
| Record Nr. | UNINA-9910349406303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Simulation and Synthesis in Medical Imaging [[electronic resource] ] : Second International Workshop, SASHIMI 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10, 2017, Proceedings / / edited by Sotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince
| Simulation and Synthesis in Medical Imaging [[electronic resource] ] : Second International Workshop, SASHIMI 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10, 2017, Proceedings / / edited by Sotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (X, 109 p. 41 illus.) |
| Disciplina | 651.5042610285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Health informatics Artificial intelligence Computer simulation Management information systems Computer science Algorithms Image Processing and Computer Vision Health Informatics Artificial Intelligence Simulation and Modeling Management of Computing and Information Systems Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-68127-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996465568903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Simulation and Synthesis in Medical Imaging : Second International Workshop, SASHIMI 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10, 2017, Proceedings / / edited by Sotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince
| Simulation and Synthesis in Medical Imaging : Second International Workshop, SASHIMI 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10, 2017, Proceedings / / edited by Sotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (X, 109 p. 41 illus.) |
| Disciplina | 651.5042610285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Health informatics Artificial intelligence Computer simulation Management information systems Computer science Algorithms Image Processing and Computer Vision Health Informatics Artificial Intelligence Simulation and Modeling Management of Computing and Information Systems Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-68127-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483555603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Simulation and Synthesis in Medical Imaging [[electronic resource] ] : First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings / / edited by Sotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince
| Simulation and Synthesis in Medical Imaging [[electronic resource] ] : First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings / / edited by Sotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (X, 178 p. 75 illus.) |
| Disciplina | 616.0754 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Computer simulation Pattern recognition Computer graphics Artificial intelligence Algorithms Image Processing and Computer Vision Simulation and Modeling Pattern Recognition Computer Graphics Artificial Intelligence Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-46630-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Fundamental methods for image-based biophysical modeling and image synthesis -- Biophysical and data-driven models of disease progression or organ development -- Biophysical and data-driven models of organ motion and deformation -- Biophysical and data-driven models of image formation and acquisition -- Segmentation/registration across or within modalities to aid the learning of model parameters -- Cross modality (PET/MR, PET/CT, CT/MR, etc.) image synthesis -- Simulation and synthesis from large-scale image databases -- Automated techniques for quality assessment of simulations and synthetic images -- Image registration and segmentation -- Image denoising and information fusion -- Image reconstruction from sparse data or sparse views -- Real-time simulation of biophysical properties -- Simulation based approaches for medical imaging -- Synthesis and its applications in computational medical imaging. |
| Record Nr. | UNISA-996465671003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Simulation and Synthesis in Medical Imaging : First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings / / edited by Sotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince
| Simulation and Synthesis in Medical Imaging : First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings / / edited by Sotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (X, 178 p. 75 illus.) |
| Disciplina | 616.0754 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Computer simulation Pattern recognition Computer graphics Artificial intelligence Algorithms Image Processing and Computer Vision Simulation and Modeling Pattern Recognition Computer Graphics Artificial Intelligence Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-46630-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Fundamental methods for image-based biophysical modeling and image synthesis -- Biophysical and data-driven models of disease progression or organ development -- Biophysical and data-driven models of organ motion and deformation -- Biophysical and data-driven models of image formation and acquisition -- Segmentation/registration across or within modalities to aid the learning of model parameters -- Cross modality (PET/MR, PET/CT, CT/MR, etc.) image synthesis -- Simulation and synthesis from large-scale image databases -- Automated techniques for quality assessment of simulations and synthetic images -- Image registration and segmentation -- Image denoising and information fusion -- Image reconstruction from sparse data or sparse views -- Real-time simulation of biophysical properties -- Simulation based approaches for medical imaging -- Synthesis and its applications in computational medical imaging. |
| Record Nr. | UNINA-9910485041003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||