Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning-Reference-Cited by-同舟云学术

Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning

Published:2018 Issue: Volume: Page:3-11
ISSN:0302-9743
Container-title:Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
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Author:

Bragman Felix J. S.,Tanno Ryutaro,Eaton-Rosen Zach,Li Wenqi,Hawkes David J.,Ourselin Sebastien,Alexander Daniel C.,McClelland Jamie R.,Cardoso M. Jorge

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-00937-3_1

Reference11 articles.

1. Burgos, N., et al.: Iterative framework for the joint segmentation and CT synthesis of MR images: application to MRI-only radiotherapy treatment planning. Phys. Med. Biol. 62, 4237 (2017)

2. Nie, D., et al.: Medical image synthesis with context-aware generative adversarial networks. arXiv:1612.05362

3. Lecture Notes in Computer Science;JM Wolterink,2017

4. Lecture Notes in Computer Science;P Moeskops,2016

5. Kendall, A., et al.: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics. In: CVPR (2018)

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