Bo Zhou 0009, Chi Liu, James S. Duncan. Anatomy-Constrained Contrastive Learning for Synthetic Segmentation Without Ground-Truth. In Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part I. Volume 12901 of Lecture Notes in Computer Science, pages 47-56, Springer, 2021. [doi]
@inproceedings{ZhouLD21-2,
title = {Anatomy-Constrained Contrastive Learning for Synthetic Segmentation Without Ground-Truth},
author = {Bo Zhou 0009 and Chi Liu and James S. Duncan},
year = {2021},
doi = {10.1007/978-3-030-87193-2_5},
url = {https://doi.org/10.1007/978-3-030-87193-2_5},
researchr = {https://researchr.org/publication/ZhouLD21-2},
cites = {0},
citedby = {0},
pages = {47-56},
booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part I},
editor = {Marleen de Bruijne and Philippe C. Cattin and Stéphane Cotin and Nicolas Padoy and Stefanie Speidel and Yefeng Zheng and Caroline Essert},
volume = {12901},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-87193-2},
}