Chen Chen 0042, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert. Realistic Adversarial Data Augmentation for MR Image Segmentation. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I. Volume 12261 of Lecture Notes in Computer Science, pages 667-677, Springer, 2020. [doi]
@inproceedings{ChenQQOWCTBR20,
title = {Realistic Adversarial Data Augmentation for MR Image Segmentation},
author = {Chen Chen 0042 and Chen Qin and Huaqi Qiu and Cheng Ouyang and Shuo Wang and Liang Chen and Giacomo Tarroni and Wenjia Bai and Daniel Rueckert},
year = {2020},
doi = {10.1007/978-3-030-59710-8_65},
url = {https://doi.org/10.1007/978-3-030-59710-8_65},
researchr = {https://researchr.org/publication/ChenQQOWCTBR20},
cites = {0},
citedby = {0},
pages = {667-677},
booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I},
editor = {Anne L. Martel and Purang Abolmaesumi and Danail Stoyanov and Diana Mateus and Maria A. Zuluaga and S. Kevin Zhou and Daniel Racoceanu and Leo Joskowicz},
volume = {12261},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-59710-8},
}