Simulation and Synthesis in Medical Imaging
4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Editors: Burgos, Ninon, Gooya, Ali, Svoboda, David (Eds.)
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- About this book
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This book constitutes the refereed proceedings of the 4th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.
The 16 full papers presented were carefully reviewed and selected from 21 submissions. The contributions span the following broad categories in alignment with the initial call-for-papers: methods based on generative models or adversarial learning for MRI/CT/PET/microscopy image synthesis, image super resolution, and several applications of image synthesis and simulation for data augmentation, segmentation or lesion detection.
- Table of contents (16 chapters)
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Empirical Bayesian Mixture Models for Medical Image Translation
Pages 1-12
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Improved MR to CT Synthesis for PET/MR Attenuation Correction Using Imitation Learning
Pages 13-21
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Unpaired Multi-contrast MR Image Synthesis Using Generative Adversarial Networks
Pages 22-31
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Unsupervised Retina Image Synthesis via Disentangled Representation Learning
Pages 32-41
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Pseudo-normal PET Synthesis with Generative Adversarial Networks for Localising Hypometabolism in Epilepsies
Pages 42-51
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Table of contents (16 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Simulation and Synthesis in Medical Imaging
- Book Subtitle
- 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
- Editors
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- Ninon Burgos
- Ali Gooya
- David Svoboda
- Series Title
- Image Processing, Computer Vision, Pattern Recognition, and Graphics
- Series Volume
- 11827
- Copyright
- 2019
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-32778-1
- DOI
- 10.1007/978-3-030-32778-1
- Softcover ISBN
- 978-3-030-32777-4
- Edition Number
- 1
- Number of Pages
- X, 162
- Number of Illustrations
- 18 b/w illustrations, 60 illustrations in colour
- Topics
