@InProceedings{Ronneberger2015,
author="Ronneberger, Olaf
and Fischer, Philipp
and Brox, Thomas",
editor="Navab, Nassir
and Hornegger, Joachim
and Wells, William M.
and Frangi, Alejandro F.",
title="U-Net: Convolutional Networks for Biomedical Image Segmentation",
booktitle="Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015",
year="2015",
publisher="Springer International Publishing",https://www.overleaf.com/project/654920d8fee1e534d61b9fad#
address="Cham",
pages="234--241",
isbn="978-3-319-24574-4"
}

@INPROCEEDINGS{Milletari2016,
  author={Milletari, Fausto and Navab, Nassir and Ahmadi, Seyed-Ahmad},
  booktitle={2016 Fourth International Conference on 3D Vision (3DV)}, 
  title={V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation}, 
  year={2016},
  volume={},
  number={},
  pages={565-571},
  doi={10.1109/3DV.2016.79}}

@InProceedings{Lin_2017_CVPR,
author = {Lin, Tsung-Yi and Dollar, Piotr and Girshick, Ross and He, Kaiming and Hariharan, Bharath and Belongie, Serge},
title = {Feature Pyramid Networks for Object Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}


@article{Kamnitsas2017,
title = {Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation},
journal = {Medical Image Analysis},
volume = {36},
pages = {61-78},
year = {2017},
issn = {1361-8415},
doi = {https://doi.org/10.1016/j.media.2016.10.004},
url = {https://www.sciencedirect.com/science/article/pii/S1361841516301839},
author = {Konstantinos Kamnitsas and Christian Ledig and Virginia F.J. Newcombe and Joanna P. Simpson and Andrew D. Kane and David K. Menon and Daniel Rueckert and Ben Glocker},
keywords = {3D convolutional neural network, Fully connected CRF, Segmentation, Brain lesions, Deep learning}
}

@article{Lee2013,
   author = {Dong-Hyun Lee},
   journal = {ICML 2013 Workshop : Challenges in Representation Learning (WREPL)},
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@InProceedings{Bai2017,
author="Bai, Wenjia
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and Sinclair, Matthew
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and King, Andrew
and Matthews, Paul M.
and Rueckert, Daniel",
editor="Descoteaux, Maxime
and Maier-Hein, Lena
and Franz, Alfred
and Jannin, Pierre
and Collins, D. Louis
and Duchesne, Simon",
title="Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation",
booktitle="Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017",
year="2017",
publisher="Springer International Publishing",
address="Cham",
pages="253--260",
isbn="978-3-319-66185-8"
}

@InProceedings{Tran2022,
author="Tran, Manuel
and Wagner, Sophia J.
and Boxberg, Melanie
and Peng, Tingying",
editor="Wang, Linwei
and Dou, Qi
and Fletcher, P. Thomas
and Speidel, Stefanie
and Li, Shuo",
title="S5CL: Unifying Fully-Supervised, Self-supervised, and Semi-supervised Learning Through Hierarchical Contrastive Learning",
booktitle="Medical Image Computing and Computer Assisted Intervention -- MICCAI 2022",
year="2022",
publisher="Springer Nature Switzerland",
address="Cham",
pages="99--108",
isbn="978-3-031-16434-7"
}

@inproceedings{Tarvainen2017,
 author = {Tarvainen, Antti and Valpola, Harri},
 booktitle = {Advances in Neural Information Processing Systems},
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 publisher = {Curran Associates, Inc.},
 title = {Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results},
 url = {https://proceedings.neurips.cc/paper_files/paper/2017/file/68053af2923e00204c3ca7c6a3150cf7-Paper.pdf},
 volume = {30},
 year = {2017}
}

@InProceedings{Yu2019,
author="Yu, Lequan
and Wang, Shujun
and Li, Xiaomeng
and Fu, Chi-Wing
and Heng, Pheng-Ann",
editor="Shen, Dinggang
and Liu, Tianming
and Peters, Terry M.
and Staib, Lawrence H.
and Essert, Caroline
and Zhou, Sean
and Yap, Pew-Thian
and Khan, Ali",
title="Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation",
booktitle="Medical Image Computing and Computer Assisted Intervention -- MICCAI 2019",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="605--613",
isbn="978-3-030-32245-8"
}

@InProceedings{Dalca2018,
author = {Dalca, Adrian V. and Guttag, John and Sabuncu, Mert R.},
title = {Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation},
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month = {June},
year = {2018}
} 

@InProceedings{Doersch_2015_ICCV,
author = {Doersch, Carl and Gupta, Abhinav and Efros, Alexei A.},
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@InProceedings{Zhang2016colorful,
author="Zhang, Richard
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editor="Leibe, Bastian
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and Sebe, Nicu
and Welling, Max",
title="Colorful Image Colorization",
booktitle="Computer Vision -- ECCV 2016",
year="2016",
publisher="Springer International Publishing",
address="Cham",
pages="649--666",
isbn="978-3-319-46487-9"
}

@InProceedings{Noroozi2016,
author="Noroozi, Mehdi
and Favaro, Paolo",
editor="Leibe, Bastian
and Matas, Jiri
and Sebe, Nicu
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title="Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles",
booktitle="Computer Vision -- ECCV 2016",
year="2016",
publisher="Springer International Publishing",
address="Cham",
pages="69--84",
isbn="978-3-319-46466-4"
}

@misc{gidaris2018unsupervised,
      title={Unsupervised Representation Learning by Predicting Image Rotations}, 
      author={Spyros Gidaris and Praveer Singh and Nikos Komodakis},
      year={2018},
      eprint={1803.07728},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

@InProceedings{chen20j,  title =  {A Simple Framework for Contrastive Learning of Visual Representations},  author =       {Chen, Ting and Kornblith, Simon and Norouzi, Mohammad and Hinton, Geoffrey},  booktitle =  {Proceedings of the 37th International Conference on Machine Learning},  pages =  {1597--1607},  year =  {2020},  editor =  {III, Hal Daumé and Singh, Aarti},  volume =  {119},  series =  {Proceedings of Machine Learning Research},  month =  {13--18 Jul},  publisher =    {PMLR},  pdf =  {http://proceedings.mlr.press/v119/chen20j/chen20j.pdf},  url =  {https://proceedings.mlr.press/v119/chen20j.html}}

@InProceedings{He_2020_CVPR,
author = {He, Kaiming and Fan, Haoqi and Wu, Yuxin and Xie, Saining and Girshick, Ross},
title = {Momentum Contrast for Unsupervised Visual Representation Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
} 

@InProceedings{zbontar21a,
  title = 	 {Barlow Twins: Self-Supervised Learning via Redundancy Reduction},
  author =       {Zbontar, Jure and Jing, Li and Misra, Ishan and LeCun, Yann and Deny, Stephane},
  booktitle = 	 {Proceedings of the 38th International Conference on Machine Learning},
  pages = 	 {12310--12320},
  year = 	 {2021},
  editor = 	 {Meila, Marina and Zhang, Tong},
  volume = 	 {139},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {18--24 Jul},
  publisher =    {PMLR},
  pdf = 	 {http://proceedings.mlr.press/v139/zbontar21a/zbontar21a.pdf},
  url = 	 {https://proceedings.mlr.press/v139/zbontar21a.html}
}

@inproceedings{BYOL2020,
 author = {Grill, Jean-Bastien and Strub, Florian and Altch\'{e}, Florent and Tallec, Corentin and Richemond, Pierre and Buchatskaya, Elena and Doersch, Carl and Avila Pires, Bernardo and Guo, Zhaohan and Gheshlaghi Azar, Mohammad and Piot, Bilal and kavukcuoglu, koray and Munos, Remi and Valko, Michal},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {H. Larochelle and M. Ranzato and R. Hadsell and M.F. Balcan and H. Lin},
 pages = {21271--21284},
 publisher = {Curran Associates, Inc.},
 title = {Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning},
 url = {https://proceedings.neurips.cc/paper_files/paper/2020/file/f3ada80d5c4ee70142b17b8192b2958e-Paper.pdf},
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 year = {2020}
}

@InProceedings{Caron_2021_ICCV,
    author    = {Caron, Mathilde and Touvron, Hugo and Misra, Ishan and J\'egou, Herv\'e and Mairal, Julien and Bojanowski, Piotr and Joulin, Armand},
    title     = {Emerging Properties in Self-Supervised Vision Transformers},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2021},
    pages     = {9650-9660}
}

@InProceedings{He_2022_CVPR,
    author    = {He, Kaiming and Chen, Xinlei and Xie, Saining and Li, Yanghao and Doll\'ar, Piotr and Girshick, Ross},
    title     = {Masked Autoencoders Are Scalable Vision Learners},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2022},
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}

@InProceedings{Kalapos2022,
author="Kalapos, Andr{\'a}s
and Gyires-T{\'o}th, B{\'a}lint",
editor="Karlinsky, Leonid
and Michaeli, Tomer
and Nishino, Ko",
title="Self-supervised Pretraining for 2D Medical Image Segmentation",
booktitle="Computer Vision -- ECCV 2022 Workshops",
year="2023",
publisher="Springer Nature Switzerland",
address="Cham",
pages="472--484",
isbn="978-3-031-25082-8"
}

@article{Punn2022,
   author = {Narinder Singh Punn and Sonali Agarwal},
   doi = {10.1007/s10994-022-06219-3},
   issn = {1573-0565},
   issue = {12},
   journal = {Machine Learning},
   pages = {4585-4600},
   title = {BT-Unet: A self-supervised learning framework for biomedical image segmentation using barlow twins with U-net models},
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   year = {2022},
}

@InProceedings{Tang_2022_CVPR,
    author    = {Tang, Yucheng and Yang, Dong and Li, Wenqi and Roth, Holger R. and Landman, Bennett and Xu, Daguang and Nath, Vishwesh and Hatamizadeh, Ali},
    title     = {Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2022},
    pages     = {20730-20740}
}

@InProceedings{Zeng2021,
author="Zeng, Dewen
and Wu, Yawen
and Hu, Xinrong
and Xu, Xiaowei
and Yuan, Haiyun
and Huang, Meiping
and Zhuang, Jian
and Hu, Jingtong
and Shi, Yiyu",
editor="de Bruijne, Marleen
and Cattin, Philippe C.
and Cotin, St{\'e}phane
and Padoy, Nicolas
and Speidel, Stefanie
and Zheng, Yefeng
and Essert, Caroline",
title="Positional Contrastive Learning for Volumetric Medical Image Segmentation",
booktitle="Medical Image Computing and Computer Assisted Intervention -- MICCAI 2021",
year="2021",
publisher="Springer International Publishing",
address="Cham",
pages="221--230",
isbn="978-3-030-87196-3"
}

@inproceedings{NEURIPS2020_949686ec,
 author = {Chaitanya, Krishna and Erdil, Ertunc and Karani, Neerav and Konukoglu, Ender},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {H. Larochelle and M. Ranzato and R. Hadsell and M.F. Balcan and H. Lin},
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 url = {https://proceedings.neurips.cc/paper_files/paper/2020/file/949686ecef4ee20a62d16b4a2d7ccca3-Paper.pdf},
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 year = {2020}
}

@InProceedings{Xie_2021_CVPR,
    author    = {Xie, Zhenda and Lin, Yutong and Zhang, Zheng and Cao, Yue and Lin, Stephen and Hu, Han},
    title     = {Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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}

@InProceedings{Zhong_2021_ICCV,
    author    = {Zhong, Yuanyi and Yuan, Bodi and Wu, Hong and Yuan, Zhiqiang and Peng, Jian and Wang, Yu-Xiong},
    title     = {Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation},
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@InProceedings{Hu2021,
author="Hu, Xinrong
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and Shi, Yiyu",
editor="de Bruijne, Marleen
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and Cotin, St{\'e}phane
and Padoy, Nicolas
and Speidel, Stefanie
and Zheng, Yefeng
and Essert, Caroline",
title="Semi-supervised Contrastive Learning for Label-Efficient Medical Image Segmentation",
booktitle="Medical Image Computing and Computer Assisted Intervention -- MICCAI 2021",
year="2021",
publisher="Springer International Publishing",
address="Cham",
pages="481--490",
isbn="978-3-030-87196-3"
}

@InProceedings{Zhao_2021_ICCV,
    author    = {Zhao, Xiangyun and Vemulapalli, Raviteja and Mansfield, Philip Andrew and Gong, Boqing and Green, Bradley and Shapira, Lior and Wu, Ying},
    title     = {Contrastive Learning for Label Efficient Semantic Segmentation},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2021},
    pages     = {10623-10633}
}

@InProceedings{Wang_2021_CVPR,
    author    = {Wang, Xinlong and Zhang, Rufeng and Shen, Chunhua and Kong, Tao and Li, Lei},
    title     = {Dense Contrastive Learning for Self-Supervised Visual Pre-Training},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2021},
    pages     = {3024-3033}
}

@inproceedings{NEURIPS2022_39cee562,
 author = {Bardes, Adrien and Ponce, Jean and LeCun, Yann},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
 pages = {8799--8810},
 publisher = {Curran Associates, Inc.},
 title = {VICRegL: Self-Supervised Learning of Local Visual Features},
 url = {https://proceedings.neurips.cc/paper_files/paper/2022/file/39cee562b91611c16ac0b100f0bc1ea1-Paper-Conference.pdf},
 volume = {35},
 year = {2022}
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@inproceedings{NEURIPS2020_3000311c,
 author = {O. Pinheiro, Pedro O and Almahairi, Amjad and Benmalek, Ryan and Golemo, Florian and Courville, Aaron C},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {H. Larochelle and M. Ranzato and R. Hadsell and M.F. Balcan and H. Lin},
 pages = {4489--4500},
 publisher = {Curran Associates, Inc.},
 title = {Unsupervised Learning of Dense Visual Representations},
 url = {https://proceedings.neurips.cc/paper_files/paper/2020/file/3000311ca56a1cb93397bc676c0b7fff-Paper.pdf},
 volume = {33},
 year = {2020}
}

@ARTICLE{Ke2022,
  author={Yan, Ke and Cai, Jinzheng and Jin, Dakai and Miao, Shun and Guo, Dazhou and Harrison, Adam P. and Tang, Youbao and Xiao, Jing and Lu, Jingjing and Lu, Le},
  journal={IEEE Transactions on Medical Imaging}, 
  title={SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images}, 
  year={2022},
  volume={41},
  number={10},
  pages={2658-2669},
  keywords={Task analysis;Three-dimensional displays;Computed tomography;X-rays;Training;Lesions;Prediction algorithms;Contrastive learning;follow-up lesion matching;landmark detection;pixel-wise embedding;self-supervised learning},
  doi={10.1109/TMI.2022.3169003}
}

@InProceedings{Goncharov2023,
author="Goncharov, Mikhail
and Soboleva, Vera
and Kurmukov, Anvar
and Pisov, Maxim
and Belyaev, Mikhail",
editor="Greenspan, Hayit
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and Syeda-Mahmood, Tanveer
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title="vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-Level Representations in Medical Images",
booktitle="Medical Image Computing and Computer Assisted Intervention -- MICCAI 2023",
year="2023",
publisher="Springer Nature Switzerland",
address="Cham",
pages="605--614",
isbn="978-3-031-43907-0"
}

@ARTICLE{8360453,

  author={Bernard, Olivier and Lalande, Alain and Zotti, Clement and Cervenansky, Frederick and Yang, Xin and Heng, Pheng-Ann and Cetin, Irem and Lekadir, Karim and Camara, Oscar and Gonzalez Ballester, Miguel Angel and Sanroma, Gerard and Napel, Sandy and Petersen, Steffen and Tziritas, Georgios and Grinias, Elias and Khened, Mahendra and Kollerathu, Varghese Alex and Krishnamurthi, Ganapathy and Rohé, Marc-Michel and Pennec, Xavier and Sermesant, Maxime and Isensee, Fabian and Jäger, Paul and Maier-Hein, Klaus H. and Full, Peter M. and Wolf, Ivo and Engelhardt, Sandy and Baumgartner, Christian F. and Koch, Lisa M. and Wolterink, Jelmer M. and Išgum, Ivana and Jang, Yeonggul and Hong, Yoonmi and Patravali, Jay and Jain, Shubham and Humbert, Olivier and Jodoin, Pierre-Marc},

  journal={IEEE Transactions on Medical Imaging}, 

  title={Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?}, 

  year={2018},

  volume={37},

  number={11},

  pages={2514-2525},

  doi={10.1109/TMI.2018.2837502}}

@ARTICLE{Bernard2018, author={Bernard, Olivier and Lalande, Alain and Zotti, Clement and Cervenansky, Frederick and Yang, Xin and Heng, Pheng-Ann and Cetin, Irem and Lekadir, Karim and Camara, Oscar and Gonzalez Ballester, Miguel Angel and Sanroma, Gerard and Napel, Sandy and Petersen, Steffen and Tziritas, Georgios and Grinias, Elias and Khened, Mahendra and Kollerathu, Varghese Alex and Krishnamurthi, Ganapathy and Rohé, Marc-Michel and Pennec, Xavier and Sermesant, Maxime and Isensee, Fabian and Jäger, Paul and Maier-Hein, Klaus H. and Full, Peter M. and Wolf, Ivo and Engelhardt, Sandy and Baumgartner, Christian F. and Koch, Lisa M. and Wolterink, Jelmer M. and Išgum, Ivana and Jang, Yeonggul and Hong, Yoonmi and Patravali, Jay and Jain, Shubham and Humbert, Olivier and Jodoin, Pierre-Marc}, journal={IEEE Transactions on Medical Imaging}, title={Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?}, year={2018}, volume={37}, number={11}, pages={2514-2525}, doi={10.1109/TMI.2018.2837502}} 

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}