Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. Yang, J., Dvornek, N. C., Zhang, F., Zhuang, J., Chapiro, J., Lin, M. D., & Duncan, J. S. In ICCV Workshops, pages 323-331, 2019. IEEE.
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Paper bibtex @inproceedings{conf/iccvw/YangDZZCLD19,
added-at = {2020-11-06T00:00:00.000+0100},
author = {Yang, Junlin and Dvornek, Nicha C. and Zhang, Fan and Zhuang, Juntang and Chapiro, Julius and Lin, Ming De and Duncan, James S.},
biburl = {https://www.bibsonomy.org/bibtex/25a5f812213ed946ad86a5a9fc37e82be/dblp},
booktitle = {ICCV Workshops},
crossref = {conf/iccvw/2019},
ee = {https://doi.org/10.1109/ICCVW.2019.00043},
interhash = {01033f93007e8e3d24811b8c806a1138},
intrahash = {5a5f812213ed946ad86a5a9fc37e82be},
isbn = {978-1-7281-5023-9},
keywords = {dblp},
pages = {323-331},
publisher = {IEEE},
timestamp = {2020-11-07T11:40:21.000+0100},
title = {Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation.},
url = {http://dblp.uni-trier.de/db/conf/iccvw/iccvw2019.html#YangDZZCLD19},
year = 2019
}
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