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Simulation and Synthesis in Medical Imaging [[electronic resource] ] : 8th International Workshop, SASHIMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / / edited by Jelmer M. Wolterink, David Svoboda, Can Zhao, Virginia Fernandez
| Simulation and Synthesis in Medical Imaging [[electronic resource] ] : 8th International Workshop, SASHIMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / / edited by Jelmer M. Wolterink, David Svoboda, Can Zhao, Virginia Fernandez |
| Autore | Wolterink Jelmer M |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (151 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
SvobodaDavid
ZhaoCan FernandezVirginia |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Artificial intelligence Education - Data processing Application software Computer Vision Artificial Intelligence Computers and Education Computer and Information Systems Applications |
| ISBN | 3-031-44689-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs Super-resolution Segmentation network for inner-ear tissue segmentation -- Multi-Phase Liver-Specific DCE-MRI Translation via a Registration-Guided GAN -- Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI Physics-Aware Motion Simulation for T2*-Weighted Brain MRI -- Unsupervised heteromodal physics-informed representation of MRI data: tackling data harmonisation, imputation and domain shift -- TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction -- How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound Unsupervised Liver Tumor Segmentation with Pseudo Anomaly Synthesis -- Improving style transfer in dynamic contrast enhanced MRI using a spatio-temporal approach Synthetic Singleplex-Image Generation in Multiplex-Brightfield Immunohistochemistry -- Digital Pathology using Deep Generative Models Self-Supervised Super-Resolution for Anisotropic MR Images with and without Slice Gap DIFF·3: A latent diffusion model for the generation of synthetic 3D echocardiographic images and corresponding labels. |
| Record Nr. | UNISA-996558469903316 |
Wolterink Jelmer M
|
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Simulation and Synthesis in Medical Imaging : 8th International Workshop, SASHIMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / / edited by Jelmer M. Wolterink, David Svoboda, Can Zhao, Virginia Fernandez
| Simulation and Synthesis in Medical Imaging : 8th International Workshop, SASHIMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / / edited by Jelmer M. Wolterink, David Svoboda, Can Zhao, Virginia Fernandez |
| Autore | Wolterink Jelmer M |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (151 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
SvobodaDavid
ZhaoCan FernandezVirginia |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Artificial intelligence Education - Data processing Application software Computer Vision Artificial Intelligence Computers and Education Computer and Information Systems Applications |
| ISBN | 3-031-44689-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs Super-resolution Segmentation network for inner-ear tissue segmentation -- Multi-Phase Liver-Specific DCE-MRI Translation via a Registration-Guided GAN -- Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI Physics-Aware Motion Simulation for T2*-Weighted Brain MRI -- Unsupervised heteromodal physics-informed representation of MRI data: tackling data harmonisation, imputation and domain shift -- TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction -- How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound Unsupervised Liver Tumor Segmentation with Pseudo Anomaly Synthesis -- Improving style transfer in dynamic contrast enhanced MRI using a spatio-temporal approach Synthetic Singleplex-Image Generation in Multiplex-Brightfield Immunohistochemistry -- Digital Pathology using Deep Generative Models Self-Supervised Super-Resolution for Anisotropic MR Images with and without Slice Gap DIFF·3: A latent diffusion model for the generation of synthetic 3D echocardiographic images and corresponding labels. |
| Record Nr. | UNINA-9910747597003321 |
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Wolterink Jelmer M
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Simulation and synthesis in medical imaging : 6th international workshop, SASHIMI 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, proceedings / / edited by David Svoboda [and three others]
| Simulation and synthesis in medical imaging : 6th international workshop, SASHIMI 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, proceedings / / edited by David Svoboda [and three others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (162 pages) |
| Disciplina | 616.0754 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Diagnostic imaging - Digital techniques
Diagnostic imaging - Data processing |
| ISBN | 3-030-87592-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464431803316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Simulation and synthesis in medical imaging : 6th international workshop, SASHIMI 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, proceedings / / edited by David Svoboda [and three others]
| Simulation and synthesis in medical imaging : 6th international workshop, SASHIMI 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, proceedings / / edited by David Svoboda [and three others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (162 pages) |
| Disciplina | 616.0754 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Diagnostic imaging - Digital techniques
Diagnostic imaging - Data processing |
| ISBN | 3-030-87592-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910502631703321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
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