Sara Atito, Syed Muhammad Anwar, Muhammad Awais 0001, Josef Kittler. SB-SSL: Slice-Based Self-supervised Transformers for Knee Abnormality Classification from MRI. 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 86-95, Springer, 2022. [doi]
@inproceedings{AtitoAAK22,
title = {SB-SSL: Slice-Based Self-supervised Transformers for Knee Abnormality Classification from MRI},
author = {Sara Atito and Syed Muhammad Anwar and Muhammad Awais 0001 and Josef Kittler},
year = {2022},
doi = {10.1007/978-3-031-16760-7_9},
url = {https://doi.org/10.1007/978-3-031-16760-7_9},
researchr = {https://researchr.org/publication/AtitoAAK22},
cites = {0},
citedby = {0},
pages = {86-95},
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},
}