@book{Lamport:Book:1989,
 author = {Lamport, Leslie},
 title = {Latex: A Document Preparation System},
 year = {1986},
 isbn = {0-201-15790-X},
 publisher = {Addison-Wesley Longman Publishing Co., Inc.},
 address = {Boston, MA, USA},
}

@article{van2007recent,
  title={Recent developments in optical coherence tomography for imaging the retina},
  author={van Velthoven, Mirjam EJ and Faber, Dirk J and Verbraak, Frank D and van Leeuwen, Ton G and de Smet, Marc D},
  journal={Progress in retinal and eye research},
  volume={26},
  number={1},
  pages={57--77},
  year={2007},
  publisher={Elsevier}
}

@article{lang2013retinal,
  title={Retinal layer segmentation of macular OCT images using boundary classification},
  author={Lang, Andrew and Carass, Aaron and Hauser, Matthew and Sotirchos, Elias S and Calabresi, Peter A and Ying, Howard S and Prince, Jerry L},
  journal={Biomedical optics express},
  volume={4},
  number={7},
  pages={1133--1152},
  year={2013},
  publisher={Optical Society of America}
}

@article{wang2016machine,
  title={Machine learning based detection of age-related macular degeneration (AMD) and diabetic macular edema (DME) from optical coherence tomography (OCT) images},
  author={Wang, Yu and Zhang, Yaonan and Yao, Zhaomin and Zhao, Ruixue and Zhou, Fengfeng},
  journal={Biomedical optics express},
  volume={7},
  number={12},
  pages={4928--4940},
  year={2016},
  publisher={Optical Society of America}
}

@article{shen2017wasserstein,
  title={Wasserstein distance guided representation learning for domain adaptation},
  author={Shen, Jian and Qu, Yanru and Zhang, Weinan and Yu, Yong},
  journal={arXiv preprint arXiv:1707.01217},
  year={2017}
}

@article{chen2019synergistic,
  title={Synergistic image and feature adaptation: Towards cross-modality domain adaptation for medical image segmentation},
  author={Chen, Cheng and Dou, Qi and Chen, Hao and Qin, Jing and Heng, Pheng-Ann},
  journal={arXiv preprint arXiv:1901.08211},
  year={2019}
}

@inproceedings{kamnitsas2017unsupervised,
  title={Unsupervised domain adaptation in brain lesion segmentation with adversarial networks},
  author={Kamnitsas, Konstantinos and Baumgartner, Christian and Ledig, Christian and Newcombe, Virginia and Simpson, Joanna and Kane, Andrew and Menon, David and Nori, Aditya and Criminisi, Antonio and Rueckert, Daniel and others},
  booktitle={International conference on information processing in medical imaging},
  pages={597--609},
  year={2017},
  organization={Springer}
}

@article{zhang2019noise,
  title={Noise Adaptation Generative Adversarial Network for Medical Image Analysis},
  author={Zhang, Tianyang and Cheng, Jun and Fu, Huazhu and Gu, Zaiwang and Xiao, Yuting and Zhou, Kang and Gao, Shenghua and Zheng, Rui and Liu, Jiang},
  journal={IEEE Transactions on Medical Imaging},
  year={2019},
  publisher={IEEE}
}

@inproceedings{ren2018adversarial,
  title={Adversarial domain adaptation for classification of prostate histopathology whole-slide images},
  author={Ren, Jian and Hacihaliloglu, Ilker and Singer, Eric A and Foran, David J and Qi, Xin},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={201--209},
  year={2018},
  organization={Springer}
}

@article{romo2020reducin,
  title={Reducing image variability across OCT devices with unsupervised unpaired learning for improved segmentation of retina},
  author={Romo-Bucheli, David and Seeb{\"o}ck, Philipp and Orlando, Jos{\'e} Ignacio and Gerendas, Bianca S and Waldstein, Sebastian M and Schmidt-Erfurth, Ursula and Bogunovi{\'c}, Hrvoje},
  journal={Biomedical Optics Express},
  volume={11},
  number={1},
  pages={346--363},
  year={2020},
  publisher={Optical Society of America}
}

@article{tzeng2014deep,
  title={Deep domain confusion: Maximizing for domain invariance},
  author={Tzeng, Eric and Hoffman, Judy and Zhang, Ning and Saenko, Kate and Darrell, Trevor},
  journal={arXiv preprint arXiv:1412.3474},
  year={2014}
}

@article{gretton2012kernel,
  title={A kernel two-sample test},
  author={Gretton, Arthur and Borgwardt, Karsten M and Rasch, Malte J and Sch{\"o}lkopf, Bernhard and Smola, Alexander},
  journal={Journal of Machine Learning Research},
  volume={13},
  number={Mar},
  pages={723--773},
  year={2012}
}

@inproceedings{sun2016return,
  title={Return of frustratingly easy domain adaptation},
  author={Sun, Baochen and Feng, Jiashi and Saenko, Kate},
  booktitle={Thirtieth AAAI Conference on Artificial Intelligence},
  year={2016}
}

@inproceedings{tzeng2017adversarial,
  title={Adversarial discriminative domain adaptation},
  author={Tzeng, Eric and Hoffman, Judy and Saenko, Kate and Darrell, Trevor},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={7167--7176},
  year={2017}
}

@inproceedings{long2018conditional,
  title={Conditional adversarial domain adaptation},
  author={Long, Mingsheng and Cao, Zhangjie and Wang, Jianmin and Jordan, Michael I},
  booktitle={Advances in Neural Information Processing Systems},
  pages={1640--1650},
  year={2018}
}

@article{Ganin2015Domain,
  title={Domain-Adversarial Training of Neural Networks},
  author={Ganin, Yaroslav and Ustinova, Evgeniya and Ajakan, Hana and Germain, Pascal and Larochelle, Hugo and Laviolette, Franois and Marchand, Mario and Lempitsky, Victor},
  journal={Journal of Machine Learning Research},
  volume={17},
  number={1},
  pages={2096-2030},
  year={2015},
}

@inproceedings{chen2019joint,
  title={Joint domain alignment and discriminative feature learning for unsupervised deep domain adaptation},
  author={Chen, Chao and Chen, Zhihong and Jiang, Boyuan and Jin, Xinyu},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={33},
  pages={3296--3303},
  year={2019}
}

@article{wang2019deep,
  title={Deep learning for quality assessment of retinal OCT images},
  author={Wang, Jing and Deng, Guohua and Li, Wanyue and Chen, Yiwei and Gao, Feng and Liu, Hu and He, Yi and Shi, Guohua},
  journal={Biomedical Optics Express},
  volume={10},
  number={12},
  pages={6057--6072},
  year={2019},
  publisher={Optical Society of America}
}

@inproceedings{gulrajani2017improved,
  title={Improved training of wasserstein gans},
  author={Gulrajani, Ishaan and Ahmed, Faruk and Arjovsky, Martin and Dumoulin, Vincent and Courville, Aaron C},
  booktitle={Advances in neural information processing systems},
  pages={5767--5777},
  year={2017}
}

@article{arjovsky2017wasserstein,
  title={Wasserstein gan},
  author={Arjovsky, Martin and Chintala, Soumith and Bottou, L{\'e}on},
  journal={arXiv preprint arXiv:1701.07875},
  year={2017}
}

@inproceedings{bousmalis2017unsupervised,
  title={Unsupervised pixel-level domain adaptation with generative adversarial networks},
  author={Bousmalis, Konstantinos and Silberman, Nathan and Dohan, David and Erhan, Dumitru and Krishnan, Dilip},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={3722--3731},
  year={2017}
}

@inproceedings{hu2018duplex,
  title={Duplex generative adversarial network for unsupervised domain adaptation},
  author={Hu, Lanqing and Kan, Meina and Shan, Shiguang and Chen, Xilin},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={1498--1507},
  year={2018}
}

@inproceedings{long2013transfer,
  title={Transfer feature learning with joint distribution adaptation},
  author={Long, Mingsheng and Wang, Jianmin and Ding, Guiguang and Sun, Jiaguang and Yu, Philip S},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={2200--2207},
  year={2013}
}

@inproceedings{hou2019unsupervised,
  title={Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks},
  author={Hou, Jinyong and Ding, Xuejie and Deng, Jeremiah D and Cranefield, Stephen},
  booktitle={Proceedings of the IEEE International Conference on Computer Vision Workshops},
  pages={0--0},
  year={2019}
}