Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking-Reference-Cited by-同舟云学术

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Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking

Published:2020 Issue: Volume: Page:54-64
ISSN:0302-9743
Container-title:Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
language:
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Author:

Ihler Sontje,Kuhnke Felix,Laves Max-Heinrich,Ortmaier Tobias

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-59716-0_6

Reference24 articles.

1. Lecture Notes in Computer Science;MA Armin,2018

2. Buciluă, C., Caruana, R., Niculescu-Mizil, A.: Model compression. In: ACM SIGKDD, pp. 535–541 (2006)

3. Butler, D.J., Wulff, J., Stanley, G.B., Black, M.J.: A naturalistic open source movie for optical flow evaluation. In: IEEE ECCV, pp. 611–625 (2012). https://doi.org/10.1007/978-3-642-33783-3_44

4. Doersch, C., Zisserman, A.: Multi-task self-supervised visual learning. In: IEEE ICCV, pp. 2051–2060 (2017)

5. Dosovitskiy, A., et al.: FlowNet: learning optical flow with convolutional networks. In: IEEE ICCV (2015). https://doi.org/10.1109/ICCV.2015.316

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