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@misc{Hinton:arXiv:2015:Distilling,
 title={Distilling the knowledge in a neural network},
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@inproceedings{chen_SFDA-DPL,
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  pages={225--235},
  year={2021},
  organization={Springer}
}

@inproceedings{wang_BEAL,
  title={Boundary and entropy-driven adversarial learning for fundus image segmentation},
  author={Wang, Shujun and Yu, Lequan and Li, Kang and Yang, Xin and Fu, Chi-Wing and Heng, Pheng-Ann},
  booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13--17, 2019, Proceedings, Part I 22},
  pages={102--110},
  year={2019},
  organization={Springer}
}

@article{hao2022selfiter1,
  title={A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation},
  author={Hao, Degan and Ahsan, Maaz and Salim, Tariq and Duarte-Rojo, Andres and Esmaeel, Dadashzadeh and Zhang, Yudong and Arefan, Dooman and Wu, Shandong},
  journal={Artificial Intelligence in Medicine},
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  pages={102366},
  year={2022},
  publisher={Elsevier}
}

@article{guan2023iterative,
  title={Iterative loop method combining active and semi-supervised learning for domain adaptive semantic segmentation},
  author={Guan, Licong and Yuan, Xue},
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  year={2023}
}

@article{li_PLPB,
  title={Robust Source-Free Domain Adaptation for Fundus Image Segmentation},
  author={Li, Lingrui and Zhou, Yanfeng and Yang, Ge},
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  year={2023}
}

@article{lyu_AADG,
  title={{AADG}: automatic augmentation for domain generalization on retinal image segmentation},
  author={Lyu, Junyan and Zhang, Yiqi and Huang, Yijin and Lin, Li and Cheng, Pujin and Tang, Xiaoying},
  journal={IEEE Transactions on Medical Imaging},
  volume={41},
  number={12},
  pages={3699--3711},
  year={2022},
  publisher={IEEE}
}

@article{yang2021adversarial,
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  author={Yang, Fu-En and Cheng, Yuan-Chia and Shiau, Zu-Yun and Wang, Yu-Chiang Frank},
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  pages={19448--19460},
  year={2021}
}

@article{hu2023map,
  title={{MAP}: Domain Generalization via Meta-Learning on Anatomy-Consistent Pseudo-Modalities},
  author={Hu, Dewei and Li, Hao and Liu, Han and Yao, Xing and Wang, Jiacheng and Oguz, Ipek},
  journal={arXiv preprint arXiv:2309.01286},
  year={2023}
}

@article{wang2020dofe,
  title={Do{FE}: Domain-oriented feature embedding for generalizable fundus image segmentation on unseen datasets},
  author={Wang, Shujun and Yu, Lequan and Li, Kang and Yang, Xin and Fu, Chi-Wing and Heng, Pheng-Ann},
  journal={IEEE Transactions on Medical Imaging},
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  number={12},
  pages={4237--4248},
  year={2020},
  publisher={IEEE}
}

@inproceedings{moris2023assessing,
  title={Assessing coarse-to-fine deep learning models for optic disc and cup segmentation in fundus images},
  author={Moris, Eugenia and Dazeo, Nicol{\'a}s and de Rueda, Mar{\'\i}a Paula Albina and Filizzola, Francisco and Iannuzzo, Nicol{\'a}s and Nejamkin, Danila and Wignall, Kevin and Legu{\'\i}a, Mercedes and Larrabide, Ignacio and Orlando, Jos{\'e} Ignacio},
  booktitle={18th International Symposium on Medical Information Processing and Analysis},
  volume={12567},
  pages={232--241},
  year={2023},
  organization={SPIE}
}

@article{park2021noisy,
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  author={Park, Hyun-Jin and Zhu, Pai and Moreno, Ignacio Lopez and Subrahmanya, Niranjan},
  journal={arXiv preprint arXiv:2106.01604},
  year={2021}
}

%DATASET
@inproceedings{sivaswamy2014drishti,
  title={Drishti-{GS}: Retinal image dataset for optic nerve head ({ONH}) segmentation},
  author={Sivaswamy, Jayanthi and Krishnadas, SR and Joshi, Gopal Datt and Jain, Madhulika and Tabish, A Ujjwaft Syed},
  booktitle={2014 IEEE 11th international symposium on biomedical imaging (ISBI)},
  pages={53--56},
  year={2014},
  organization={IEEE}
}

@inproceedings{almazroa2018retinal,
  title={Retinal fundus images for glaucoma analysis: the {RIGA} dataset},
  author={Almazroa, Ahmed and Alodhayb, Sami and Osman, Essameldin and Ramadan, Eslam and Hummadi, Mohammed and Dlaim, Mohammed and Alkatee, Muhannad and Raahemifar, Kaamran and Lakshminarayanan, Vasudevan},
  booktitle={Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications},
  volume={10579},
  pages={55--62},
  year={2018},
  organization={SPIE}
}

@inproceedings{zhang2010origa,
  title={{ORIGA}(-light): An online retinal fundus image database for glaucoma analysis and research},
  author={Zhang, Zhuo and Yin, Feng Shou and Liu, Jiang and Wong, Wing Kee and Tan, Ngan Meng and Lee, Beng Hai and Cheng, Jun and Wong, Tien Yin},
  booktitle={2010 Annual international conference of the IEEE engineering in medicine and biology},
  pages={3065--3068},
  year={2010},
  organization={IEEE}
}

@inproceedings{fumero2011rim,
  title={{RIM-ONE}: An open retinal image database for optic nerve evaluation},
  author={Fumero, Francisco and Alay{\'o}n, Silvia and Sanchez, Jos{\'e} L and Sigut, Jose and Gonzalez-Hernandez, M},
  booktitle={2011 24th international symposium on computer-based medical systems (CBMS)},
  pages={1--6},
  year={2011},
  organization={IEEE}
}

@article{orlando2020refuge,
  title={{REFUGE} challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs},
  author={Orlando, Jos{\'e} Ignacio and Fu, Huazhu and Breda, Jo{\~a}o Barbosa and Van Keer, Karel and Bathula, Deepti R and Diaz-Pinto, Andr{\'e}s and Fang, Ruogu and Heng, Pheng-Ann and Kim, Jeyoung and Lee, JoonHo and others},
  journal={Medical image analysis},
  volume={59},
  pages={101570},
  year={2020},
  publisher={Elsevier}
}

@article{porwal2018indian,
  title={Indian diabetic retinopathy image dataset ({IDRiD}): a database for diabetic retinopathy screening research},
  author={Porwal, Prasanna and Pachade, Samiksha and Kamble, Ravi and Kokare, Manesh and Deshmukh, Girish and Sahasrabuddhe, Vivek and Meriaudeau, Fabrice},
  journal={Data},
  volume={3},
  number={3},
  pages={25},
  year={2018},
  publisher={MDPI}
}

@article{kumar2023chakṣu,
  title={Ch{\'a}kṣu: A glaucoma specific fundus image database},
  author={Kumar, JR Harish and Seelamantula, Chandra Sekhar and Gagan, JH and Kamath, Yogish S and Kuzhuppilly, Neetha IR and Vivekanand, U and Gupta, Preeti and Patil, Shilpa},
  journal={Scientific data},
  volume={10},
  number={1},
  pages={70},
  year={2023},
  publisher={Nature Publishing Group UK London}
}

@article{de2023airogs,
  title={{AIROGS}: Artificial Intelligence for robust glaucoma screening challenge},
  author={De Vente, Coen and Vermeer, Koenraad A and Jaccard, Nicolas and Wang, He and Sun, Hongyi and Khader, Firas and Truhn, Daniel and Aimyshev, Temirgali and Zhanibekuly, Yerkebulan and Le, Tien-Dung and others},
  journal={IEEE Transactions on Medical Imaging},
  year={2023},
  publisher={IEEE}
}

@article{fang2023palm,
  title={Open fundus photograph dataset with pathologic myopia recognition and anatomical structure annotation},
  author={Fang, Huihui and Li, Fei and Wu, Junde and Fu, Huazhu and Sun, Xu and Orlando, Jos{\'e} Ignacio and Bogunovi{'c}, Hrvoje and Zhang, Xiulan and Xu, Yanwu},
  journal={Scientific Data},
  volume={11},
  number={1},
  pages={99},
  year={2024},
  publisher={Nature Publishing Group UK London}
}


@article{veena2020glaucoma,
  title={A Review on the optic disc and optic cup segmentation and classification approaches over retinal fundus images for detection of glaucoma},
  author={Veena, HN and Muruganandham, A and Kumaran, T Senthil},
  journal={SN Applied Sciences},
  volume={2},
  pages={1--15},
  year={2020},
  publisher={Springer}
}

@inproceedings{joshua2019segmentation,
  title={Segmentation of optic cup and disc for diagnosis of glaucoma on retinal fundus images},
  author={Joshua, Afolabi O and Nelwamondo, Fulufhelo V and Mabuza-Hocquet, Gugulethu},
  booktitle={2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)},
  pages={183--187},
  year={2019},
  organization={IEEE}
}

@inproceedings{he2022joined,
  title={{JOINED}: Prior guided multi-task learning for joint optic disc/cup segmentation and fovea detection},
  author={He, Huaqing and Lin, Li and Cai, Zhiyuan and Tang, Xiaoying},
  booktitle={PMLR},
  year={2022}
}

@article{li2021applications,
  title={Applications of deep learning in fundus images: A review},
  author={Li, Tao and others},
  journal={Med. Image Anal.},
  volume={69},
  pages={101971},
  year={2021},
  publisher={Elsevier}
}

@article{liu2022cada,
  title={{CADA}: Multi-scale Collaborative Adversarial Domain Adaptation for unsupervised optic disc and cup segmentation},
  author={Liu, Peng and Tran, Charlie T and Kong, Bin and Fang, Ruogu},
  journal={Neurocomputing},
  volume={469},
  pages={209--220},
  year={2022},
  publisher={Elsevier}
}

@article{zhang2022unsupervised,
  title={Unsupervised Domain Adaptation with Shape Constraint and Triple Attention for Joint Optic Disc and Cup Segmentation},
  author={Zhang, Fengming and Li, Shuiwang and Deng, Jianzhi},
  journal={Sensors},
  volume={22},
  number={22},
  pages={8748},
  year={2022},
  publisher={MDPI}
}

@article{fredriksen2022teacher,
  title={Teacher-student approach for lung tumor segmentation from mixed-supervised datasets},
  author={Fredriksen, Vemund and Sevle, Svein Ole M and Pedersen, Andr{\'e} and Lang{\o}, Thomas and Kiss, Gabriel and Lindseth, Frank},
  journal={Plos one},
  volume={17},
  number={4},
  pages={e0266147},
  year={2022},
  publisher={Public Library of Science San Francisco, CA USA}
}

@incollection{koehler2022noisy,
  title={A Noisy nnU-Net Student for Semi-supervised Abdominal Organ Segmentation},
  author={Koehler, Gregor and Isensee, Fabian and Maier-Hein, Klaus},
  booktitle={MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation},
  pages={128--138},
  year={2022},
  publisher={Springer}
}

@inproceedings{kolesnikov2020big,
  title={Big Transfer ({BiT}): General visual representation learning},
  author={Kolesnikov, Alexander and Beyer, Lucas and Zhai, Xiaohua and Puigcerver, Joan and Yung, Jessica and Gelly, Sylvain and Houlsby, Neil},
  booktitle={Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part V 16},
  pages={491--507},
  year={2020},
  organization={Springer}
}

@article{weber2008effects,
  title={Effects of optic nerve injury, glaucoma, and neuroprotection on the survival, structure, and function of ganglion cells in the mammalian retina},
  author={Weber, AJ and Harman, CD and Viswanathan, S},
  journal={The Journal of physiology},
  volume={586},
  number={18},
  pages={4393--4400},
  year={2008},
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}

@article{yoon2023domain_generalization_review,
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  author={Yoon, Jee Seok and Oh, Kwanseok and Shin, Yooseung and Mazurowski, Maciej A and Suk, Heung-Il},
  journal={arXiv preprint arXiv:2310.08598},
  year={2023}
}

@article{lin2021semi,
  title={Semi-Supervised Domain Generalization with Evolving Intermediate Domain},
  author={Lin, Luojun and Xie, Han and Sun, Zhishu and Chen, Weijie and Liu, Wenxi and Yu, Yuanlong and Zhang, Lei},
  journal={arXiv preprint arXiv:2111.10221},
  year={2021}
}

@inproceedings{zhang2022semi,
  title={Semi-supervised domain generalization for medical image analysis},
  author={Zhang, Ruipeng and Xu, Qinwei and Huang, Chaoqin and Zhang, Ya and Wang, Yanfeng},
  booktitle={2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)},
  pages={1--5},
  year={2022},
  organization={IEEE}
}

@article{sharifi2020domain,
  title={Domain generalization via semi-supervised meta learning},
  author={Sharifi-Noghabi, Hossein and Asghari, Hossein and Mehrasa, Nazanin and Ester, Martin},
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  year={2020}
}

@inproceedings{xie2020noisyStudent,
  title={Self-training with noisy student improves imagenet classification},
  author={Xie, Qizhe and Luong, Minh-Thang and Hovy, Eduard and Le, Quoc V},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={10687--10698},
  year={2020}
}

@article{alawad2022machine_review,
  title={Machine learning and deep learning techniques for optic disc and cup segmentation--a review},
  author={Alawad, Mohammed and Aljouie, Abdulrhman and Alamri, Suhailah and Alghamdi, Mansour and Alabdulkader, Balsam and Alkanhal, Norah and Almazroa, Ahmed},
  journal={Clinical Ophthalmology},
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  year={2022},
  publisher={Taylor \& Francis}
}

@article{srivastava2021comparative,
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@article{wang2022generalizing_review,
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  year={2022},
  publisher={IEEE}
}
@inproceedings{fort2012cost,
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}

@article{thambawita2022singan,
  title={Sin{GAN}-Seg: Synthetic training data generation for medical image segmentation},
  author={Thambawita, Vajira and Salehi, Pegah and Sheshkal, Sajad Amouei and Hicks, Steven A and Hammer, Hugo L and Parasa, Sravanthi and Lange, Thomas de and Halvorsen, P{\aa}l and Riegler, Michael A},
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  volume={17},
  number={5},
  pages={e0267976},
  year={2022},
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}

@inproceedings{zhao2022dual,
  title={Dual Gradient Alignment for Unsupervised Domain Adaptation on Optic Disc and Cup Segmentation},
  author={Zhao, Rongchang and Wang, Yufeng},
  booktitle={2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
  pages={1405--1410},
  year={2022},
  organization={IEEE}
}

@article{jiao2023semisupervised_review,
  title={Learning with limited annotations: a survey on deep semi-supervised learning for medical image segmentation},
  author={Jiao, Rushi and Zhang, Yichi and Ding, Le and Xue, Bingsen and Zhang, Jicong and Cai, Rong and Jin, Cheng},
  journal={Computers in Biology and Medicine},
  pages={107840},
  year={2023},
  publisher={Elsevier}
}

@inproceedings{cubuk2020randaugment,
  title={Randaugment: Practical automated data augmentation with a reduced search space},
  author={Cubuk, Ekin D and Zoph, Barret and Shlens, Jonathon and Le, Quoc V},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops},
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  year={2020}
}

@article{maier2022metrics,
  title={Metrics reloaded: Pitfalls and recommendations for image analysis validation},
  author={Maier-Hein, Lena and Menze, Bjoern and others},
  journal={arXiv. org},
  number={2206.01653},
  year={2022},
  publisher={University of Zurich}
}

@inproceedings{chen2022tvconv,
  title={{TVC}onv: Efficient translation variant convolution for layout-aware visual processing},
  author={Chen, Jierun and He, Tianlang and Zhuo, Weipeng and Ma, Li and Ha, Sangtae and Chan, S-H Gary},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={12548--12558},
  year={2022}
}

@inproceedings{zhou2022ram_dsir,
  title={Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain Specific Image Restoration},
  author={Zhou, Ziqi and Qi, Lei and Shi, Yinghuan},
  booktitle={ECCV},
  year={2022}
}

@inproceedings{liu2021feddg,
  title={Fed{DG}: Federated domain generalization on medical image segmentation via episodic learning in continuous frequency space},
  author={Liu, Quande and Chen, Cheng and Qin, Jing and Dou, Qi and Heng, Pheng-Ann},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={1013--1023},
  year={2021}
}

@article{yang2021hcdg,
  title={{HCDG}: A hierarchical consistency framework for domain generalization on medical image segmentation},
  author={Yang, Yijun and Wang, Shujun and Zhu, Lei and Yu, Lequan},
  year={2021},
  publisher={AIIM-D-22-01172}
}

@inproceedings{kang2022invariant,
  title={Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation},
  author={Kang, Yuxin and Li, Hansheng and Zhao, Xuan and Shi, Xiaoshuang and Liu, Feihong and Yan, Qingguo and Guo, Ying and Cui, Lei and Feng, Jun and Yang, Lin},
  booktitle={2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
  pages={450--456},
  year={2022},
  organization={IEEE}
}

@article{gu2023cddsa,
  title={{CDDSA}: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation},
  author={Gu, Ran and Wang, Guotai and Lu, Jiangshan and Zhang, Jingyang and Lei, Wenhui and Chen, Yinan and Liao, Wenjun and Zhang, Shichuan and Li, Kang and Metaxas, Dimitris N and others},
  journal={Medical Image Analysis},
  volume={89},
  pages={102904},
  year={2023},
  publisher={Elsevier}
}

@article{yi2023c2ftfnet_tranformer,
  title={{C2FTFNet}: Coarse-to-fine transformer network for joint optic disc and cup segmentation},
  author={Yi, Yugen and Jiang, Yan and Zhou, Bin and Zhang, Ningyi and Dai, Jiangyan and Huang, Xin and Zeng, Qinqin and Zhou, Wei},
  journal={Computers in Biology and Medicine},
  volume={164},
  pages={107215},
  year={2023},
  publisher={Elsevier}
}

@article{hu2022domain,
  title={Domain and content adaptive convolution based multi-source domain generalization for medical image segmentation},
  author={Hu, Shishuai and Liao, Zehui and Zhang, Jianpeng and Xia, Yong},
  journal={IEEE Transactions on Medical Imaging},
  volume={42},
  number={1},
  pages={233--244},
  year={2022},
  publisher={IEEE}
}

@article{nan2022data,
  title={Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions},
  author={Nan, Yang and Del Ser, Javier and Walsh, Simon and Sch{\"o}nlieb, Carola and Roberts, Michael and Selby, Ian and Howard, Kit and Owen, John and Neville, Jon and Guiot, Julien and others},
  journal={Information Fusion},
  volume={82},
  pages={99--122},
  year={2022},
  publisher={Elsevier}
}

@inproceedings{albert2023your,
  title={Is your noise correction noisy? {PLS:} Robustness to label noise with two stage detection},
  author={Albert, Paul and Arazo, Eric and Krishna, Tarun and O’Connor, Noel E and McGuinness, Kevin},
  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  pages={118--127},
  year={2023}
}

@article{lu2019weakly,
  title={Weakly supervised semantic segmentation for optic disc of fundus image},
  author={Lu, Zheng and Chen, Dali and Xue, Dingyu and Zhang, Shibo},
  journal={Journal of Electronic Imaging},
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  number={3},
  pages={033012--033012},
  year={2019},
  publisher={Society of Photo-Optical Instrumentation Engineers}
}

@article{yin2023dual,
  title={Dual-branch U-Net architecture for retinal lesions segmentation on fundus image},
  author={Yin, Ming and Soomro, Toufique Ahmed and Jandan, Fayyaz Ali and Fatihi, Ayoub and Ubaid, Faisal Bin and Irfan, Muhammad and Afifi, Ahmed J and Rahman, Saifur and Telenyk, Sergii and Nowakowski, Grzegorz},
  journal={IEEE Access},
  volume={11},
  pages={130451--130465},
  year={2023},
  publisher={IEEE}
}

@inproceedings{huai2023context,
  title={Context-Aware Pseudo-label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation},
  author={Huai, Zheang and Ding, Xinpeng and Li, Yi and Li, Xiaomeng},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={618--628},
  year={2023},
  organization={Springer}
}

@article{wang2022segmentation_vcdr,
  title={Segmentation-based Information Extraction and Amalgamation in Fundus Images for Glaucoma Detection},
  author={Wang, Yanni and Yang, Gang and Ding, Dayong and Zao, Jianchun},
  journal={arXiv preprint arXiv:2209.11456},
  year={2022}
}

@article{khan2024improving,
  title={Improving Pseudo-labelling and Enhancing Robustness for Semi-Supervised Domain Generalization},
  author={Khan, Adnan and Shaaban, Mai A and Khan, Muhammad Haris},
  journal={arXiv preprint arXiv:2401.13965},
  year={2024}
}

@inproceedings{kwon2022semi,
  title={Semi-supervised semantic segmentation with error localization network},
  author={Kwon, Donghyeon and Kwak, Suha},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={9957--9967},
  year={2022}
}