Camille Ruppli, Pietro Gori, Roberto Ardon, Isabelle Bloch. Optimizing Transformations for Contrastive Learning in a Differentiable Framework. In Ghada Zamzmi, Sameer K. Antani, Ulas Bagci, Marius George Linguraru, Sivaramakrishnan Rajaraman, Zhiyun Xue, editors, Medical Image Learning with Limited and Noisy Data - First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Volume 13559 of Lecture Notes in Computer Science, pages 96-105, Springer, 2022. [doi]
@inproceedings{RuppliGAB22,
title = {Optimizing Transformations for Contrastive Learning in a Differentiable Framework},
author = {Camille Ruppli and Pietro Gori and Roberto Ardon and Isabelle Bloch},
year = {2022},
doi = {10.1007/978-3-031-16760-7_10},
url = {https://doi.org/10.1007/978-3-031-16760-7_10},
researchr = {https://researchr.org/publication/RuppliGAB22},
cites = {0},
citedby = {0},
pages = {96-105},
booktitle = {Medical Image Learning with Limited and Noisy Data - First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings},
editor = {Ghada Zamzmi and Sameer K. Antani and Ulas Bagci and Marius George Linguraru and Sivaramakrishnan Rajaraman and Zhiyun Xue},
volume = {13559},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-16760-7},
}