Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis
Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
Editors: Sudre, C.H., Fehri, H., Arbel, T., Baumgartner, C.F., Dalca, A., Tanno, R., Van Leemput, K., Wells, W.M., Sotiras, A., Papiez, B., Ferrante, E., Parisot, S. (Eds.)
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- About this book
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This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2020, and the Third International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic.
For UNSURE 2020, 10 papers from 18 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world.
GRAIL 2020 accepted 10 papers from the 12 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.
- Table of contents (21 chapters)
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Image Registration via Stochastic Gradient Markov Chain Monte Carlo
Pages 3-12
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RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation
Pages 13-22
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Hierarchical Brain Parcellation with Uncertainty
Pages 23-31
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Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation
Pages 32-41
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Uncertainty Estimation in Landmark Localization Based on Gaussian Heatmaps
Pages 42-51
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Table of contents (21 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis
- Book Subtitle
- Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
- Editors
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- Carole H. Sudre
- Hamid Fehri
- Tal Arbel
- Christian F. Baumgartner
- Adrian Dalca
- Ryutaro Tanno
- Koen Van Leemput
- William M. Wells
- Aristeidis Sotiras
- Bartlomiej Papiez
- Enzo Ferrante
- Sarah Parisot
- Series Title
- Image Processing, Computer Vision, Pattern Recognition, and Graphics
- Series Volume
- 12443
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-60365-6
- DOI
- 10.1007/978-3-030-60365-6
- Softcover ISBN
- 978-3-030-60364-9
- Edition Number
- 1
- Number of Pages
- XVII, 222
- Number of Illustrations
- 9 b/w illustrations, 76 illustrations in colour
- Topics
