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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 | ||
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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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