Minh Nguyen Nhat To, Sandeep Sankineni, Sheng Xu 0001, Baris Turkbey, Peter A. Pinto, Vanessa Moreno, María Merino 0002, Bradford J. Wood, Jin Tae Kwak. Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization. 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 572-581, Springer, 2020. [doi]
@inproceedings{ToSXTPMMWK20,
title = {Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization},
author = {Minh Nguyen Nhat To and Sandeep Sankineni and Sheng Xu 0001 and Baris Turkbey and Peter A. Pinto and Vanessa Moreno and María Merino 0002 and Bradford J. Wood and Jin Tae Kwak},
year = {2020},
doi = {10.1007/978-3-030-59710-8_56},
url = {https://doi.org/10.1007/978-3-030-59710-8_56},
researchr = {https://researchr.org/publication/ToSXTPMMWK20},
cites = {0},
citedby = {0},
pages = {572-581},
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},
}