@incollection{huang2022revisiting,
  title={Revisiting nnU-net for iterative pseudo labeling and efficient sliding window inference},
  author={Huang, Ziyan and Wang, Haoyu and Ye, Jin and Niu, Jingqi and Tu, Can and Yang, Yuncheng and Du, Shiyi and Deng, Zhongying and Gu, Lixu and He, Junjun},
  booktitle={MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation},
  pages={178--189},
  year={2022},
  publisher={Springer}
}
@article{lei2023one,
  title={One-shot Weakly-Supervised Segmentation in 3D Medical Images},
  author={Lei, Wenhui and Su, Qi and Jiang, Tianyu and Gu, Ran and Wang, Na and Liu, Xinglong and Wang, Guotai and Zhang, Xiaofan and Zhang, Shaoting},
  journal={IEEE Transactions on Medical Imaging},
  year={2023},
  publisher={IEEE}
}
@article{wang2022bowelnet,
  title={BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images},
  author={Wang, Chong and Cui, Zhiming and Yang, Junwei and Han, Miaofei and Carneiro, Gustavo and Shen, Dinggang},
  journal={IEEE Transactions on Medical Imaging},
  volume={42},
  number={4},
  pages={1225--1236},
  year={2022},
  publisher={IEEE}
}
@article{lv2023robustness,
  title={On the robustness of average losses for partial-label learning},
  author={Lv, Jiaqi and Liu, Biao and Feng, Lei and Xu, Ning and Xu, Miao and An, Bo and Niu, Gang and Geng, Xin and Sugiyama, Masashi},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2023},
  publisher={IEEE}
}
@incollection{jia2022semi,
  title={Semi-supervised multi-organ segmentation with cross supervision using siamese network},
  author={Jia, Dengqiang},
  booktitle={MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation},
  pages={293--306},
  year={2022},
  publisher={Springer}
}
@inproceedings{zhang2021dodnet,
  title={DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets},
  author={Zhang, Jianpeng and Xie, Yutong and Xia, Yong and Shen, Chunhua},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={1195--1204},
  year={2021}
}
@article{fang2020multi,
  title={Multi-organ segmentation over partially labeled datasets with multi-scale feature abstraction},
  author={Fang, Xi and Yan, Pingkun},
  journal={IEEE Transactions on Medical Imaging},
  volume={39},
  number={11},
  pages={3619--3629},
  year={2020},
  publisher={IEEE}
}
@inproceedings{huang2020multi,
  title={Multi-organ segmentation via co-training weight-averaged models from few-organ datasets},
  author={Huang, Rui and Zheng, Yuanjie and Hu, Zhiqiang and Zhang, Shaoting and Li, Hongsheng},
  booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2020: 23rd International Conference, Lima, Peru, October 4--8, 2020, Proceedings, Part IV 23},
  pages={146--155},
  year={2020},
  organization={Springer}
}
@inproceedings{zhou2019prior,
  title={Prior-aware neural network for partially-supervised multi-organ segmentation},
  author={Zhou, Yuyin and Li, Zhe and Bai, Song and Wang, Chong and Chen, Xinlei and Han, Mei and Fishman, Elliot and Yuille, Alan L},
  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
  pages={10672--10681},
  year={2019}
}
@book{ma2023fast,
  title={Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation: MICCAI 2022 Challenge, FLARE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings},
  author={Ma, Jun and Wang, Bo},
  volume={13816},
  year={2023},
  publisher={Springer Nature}
}
@article{simpson2019MSD,
author = {Amber L. Simpson and Michela Antonelli and Spyridon Bakas and Michel Bilello and Keyvan Farahani and Bram van Ginneken and Annette Kopp-Schneider and Bennett A. Landman and Geert Litjens and Bjoern Menze and Olaf Ronneberger and Ronald M. Summers and Patrick Bilic and Patrick F. Christ and Richard K. G. Do and Marc Gollub and Jennifer Golia-Pernicka and Stephan H. Heckers and William R. Jarnagin and Maureen K. McHugo and Sandy Napel and Eugene Vorontsov and Lena Maier-Hein and M. Jorge Cardoso},
title = {A large annotated medical image dataset for the development and evaluation of segmentation algorithms},
year = {2019},
journal = {arXiv preprint arXiv:1902.09063},
}

@article{KiTS,
title = {The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge},
journal = {Medical Image Analysis},
volume = {67},
pages = {101821},
year = {2021},
author = {Nicholas Heller and Fabian Isensee and Klaus H. Maier-Hein and Xiaoshuai Hou and Chunmei Xie and Fengyi Li and Yang Nan and Guangrui Mu and Zhiyong Lin and Miofei Han and Guang Yao and Yaozong Gao and Yao Zhang and Yixin Wang and Feng Hou and Jiawei Yang and Guangwei Xiong and Jiang Tian and Cheng Zhong and Jun Ma and Jack Rickman and Joshua Dean and Bethany Stai and Resha Tejpaul and Makinna Oestreich and Paul Blake and Heather Kaluzniak and Shaneabbas Raza and Joel Rosenberg and Keenan Moore and Edward Walczak and Zachary Rengel and Zach Edgerton and Ranveer Vasdev and Matthew Peterson and Sean McSweeney and Sarah Peterson and Arveen Kalapara and Niranjan Sathianathen and Nikolaos Papanikolopoulos and Christopher Weight}
}


@article{KiTSDataset,
  title={An international challenge to use artificial intelligence to define the state-of-the-art in kidney and kidney tumor segmentation in CT imaging.},
  author={Heller, Nicholas and McSweeney, Sean and Peterson, Matthew Thomas and Peterson, Sarah and Rickman, Jack and Stai, Bethany and Tejpaul, Resha and Oestreich, Makinna and Blake, Paul and Rosenberg, Joel and others},
  volume = {38},
  number = {6},
  pages = {626-626},
  year = {2020},
  journal={American Society of Clinical Oncology}
}



@inproceedings{U-Net,
  title={U-net: Convolutional networks for biomedical image segmentation},
  author={Ronneberger, Olaf and Fischer, Philipp and Brox, Thomas},
  booktitle={International Conference on Medical image computing and computer-assisted intervention},
  pages={234--241},
  year={2015}
}

@article{AbdomenCT-1K,
  title={AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?},
  author={Ma, Jun and Zhang, Yao and Gu, Song and Zhu, Cheng and Ge, Cheng and Zhang, Yichi and An, Xingle and Wang, Congcong and Wang, Qiyuan and Liu, Xin and Cao, Shucheng and Zhang, Qi and Liu, Shangqing and Wang, Yunpeng and Li, Yuhui and He, Jian and Yang, Xiaoping},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume={44},
  number={10},
  pages={6695-6714},
  year={2022}
}


@article{MedIA-FLARE21,
title = {Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge},
author = {Jun Ma and Yao Zhang and Song Gu and Xingle An and Zhihe Wang and Cheng Ge and Congcong Wang and Fan Zhang and Yu Wang and Yinan Xu and Shuiping Gou and Franz Thaler and Christian Payer and Darko Štern and Edward G.A. Henderson and Dónal M. McSweeney and Andrew Green and Price Jackson and Lachlan McIntosh and Quoc-Cuong Nguyen and Abdul Qayyum and Pierre-Henri Conze and Ziyan Huang and Ziqi Zhou and Deng-Ping Fan and Huan Xiong and Guoqiang Dong and Qiongjie Zhu and Jian He and Xiaoping Yang},
journal = {Medical Image Analysis},
volume = {82},
pages = {102616},
year = {2022}
}

@inproceedings{FLARE22-1st-Huang,
  title={Revisiting nnU-net for iterative pseudo labeling and efficient sliding window inference},
  author={Huang, Ziyan and Wang, Haoyu and Ye, Jin and Niu, Jingqi and Tu, Can and Yang, Yuncheng and Du, Shiyi and Deng, Zhongying and Gu, Lixu and He, Junjun},
  booktitle={MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation},
  pages={178--189},
  year={2022},
  publisher={Springer}
}

@inproceedings{FLARE22-bestDSC-Wang,
  title={Cascade dual-decoders network for abdominal organs segmentation},
  author={Wang, Ershuai and Zhao, Yaliang and Wu, Yajun},
  booktitle={MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation},
  pages={202--213},
  year={2022},
  publisher={Springer},
}

@article{FLARE22,
    author = {Jun Ma and Yao Zhang and Song Gu and Cheng Ge and Shihao Ma and Adamo Young and Cheng Zhu and Kangkang Meng and Xin Yang and Ziyan Huang and Fan Zhang and Wentao Liu and YuanKe Pan and Shoujin Huang and Jiacheng Wang and Mingze Sun and Weixin Xu and Dengqiang Jia and Jae Won Choi and Natália Alves and Bram de Wilde and Gregor Koehler and Yajun Wu and Manuel Wiesenfarth and Qiongjie Zhu and Guoqiang Dong and Jian He and the FLARE Challenge Consortium and Bo Wang},
    title = {Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge},
    year = {2023},
    journal = {arXiv preprint arXiv:2308.05862},
}

@article{MedSAM,
  title={Segment Anything in Medical Images},
  author={Ma, Jun and Wang, Bo},
  journal={arXiv preprint arXiv:2304.12306},
  year={2023}
}

@article{nnUNet,
  title={nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation},
  author={Isensee, Fabian and Jaeger, Paul F and Kohl, Simon AA and Petersen, Jens and Maier-Hein, Klaus H},
  journal={Nature Methods},
  volume={18},
  number={2},
  pages={203--211},
  year={2021}
}

@article{LossOdyssey,
title = {Loss Odyssey in Medical Image Segmentation},
journal = {Medical Image Analysis},
volume = {71},
pages = {102035},
year = {2021},
author = {Jun Ma and Jianan Chen and Matthew Ng and Rui Huang and Yu Li and Chen Li and Xiaoping Yang and Anne L. Martel}
}


@article{LiTS,
    title = {The Liver Tumor Segmentation Benchmark (LiTS)},
    journal = {Medical Image Analysis},
    volume = {84},
    pages = {102680},
    year = {2023},
    author = {Patrick Bilic and Patrick Christ and Hongwei Bran Li and Eugene Vorontsov and Avi Ben-Cohen and Georgios Kaissis and Adi Szeskin and Colin Jacobs and Gabriel Efrain Humpire Mamani and Gabriel Chartrand and Fabian Lohöfer and Julian Walter Holch and Wieland Sommer and Felix Hofmann and Alexandre Hostettler and Naama Lev-Cohain and Michal Drozdzal and Michal Marianne Amitai and Refael Vivanti and Jacob Sosna and Ivan Ezhov and Anjany Sekuboyina and Fernando Navarro and Florian Kofler and Johannes C. Paetzold and Suprosanna Shit and Xiaobin Hu and Jana Lipková and Markus Rempfler and Marie Piraud and Jan Kirschke and Benedikt Wiestler and Zhiheng Zhang and Christian Hülsemeyer and Marcel Beetz and Florian Ettlinger and Michela Antonelli and Woong Bae and Míriam Bellver and Lei Bi and Hao Chen and Grzegorz Chlebus and Erik B. Dam and Qi Dou and Chi-Wing Fu and Bogdan Georgescu and Xavier Giró-i-Nieto and Felix Gruen and Xu Han and Pheng-Ann Heng and Jürgen Hesser and Jan Hendrik Moltz and Christian Igel and Fabian Isensee and Paul Jäger and Fucang Jia and Krishna Chaitanya Kaluva and Mahendra Khened and Ildoo Kim and Jae-Hun Kim and Sungwoong Kim and Simon Kohl and Tomasz Konopczynski and Avinash Kori and Ganapathy Krishnamurthi and Fan Li and Hongchao Li and Junbo Li and Xiaomeng Li and John Lowengrub and Jun Ma and Klaus Maier-Hein and Kevis-Kokitsi Maninis and Hans Meine and Dorit Merhof and Akshay Pai and Mathias Perslev and Jens Petersen and Jordi Pont-Tuset and Jin Qi and Xiaojuan Qi and Oliver Rippel and Karsten Roth and Ignacio Sarasua and Andrea Schenk and Zengming Shen and Jordi Torres and Christian Wachinger and Chunliang Wang and Leon Weninger and Jianrong Wu and Daguang Xu and Xiaoping Yang and Simon Chun-Ho Yu and Yading Yuan and Miao Yue and Liping Zhang and Jorge Cardoso and Spyridon Bakas and Rickmer Braren and Volker Heinemann and Christopher Pal and An Tang and Samuel Kadoury and Luc Soler and Bram {van Ginneken} and Hayit Greenspan and Leo Joskowicz and Bjoern Menze},
}


@article{TotalSegmentator,
author = {Wasserthal, Jakob and Breit, Hanns-Christian and Meyer, Manfred T. and Pradella, Maurice and Hinck, Daniel and Sauter, Alexander W. and Heye, Tobias and Boll, Daniel T. and Cyriac, Joshy and Yang, Shan and Bach, Michael and Segeroth, Martin},
title = {TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images},
journal = {Radiology: Artificial Intelligence},
volume = {5},
number = {5},
pages = {e230024},
year = {2023}
}

@article{autoPET-Data,
  title={A whole-body FDG-PET/CT Dataset with manually annotated Tumor Lesions},
  author={Gatidis, Sergios and Hepp, Tobias and Fr{\"u}h, Marcel and La Foug{\`e}re, Christian and Nikolaou, Konstantin and Pfannenberg, Christina and Sch{\"o}lkopf, Bernhard and K{\"u}stner, Thomas and Cyran, Clemens and Rubin, Daniel},
  journal={Scientific Data},
  volume={9},
  number={1},
  pages={601},
  year={2022}
}

@article{autoPET-MICCAI22,
  title={The autoPET challenge: Towards fully automated lesion segmentation in oncologic PET/CT imaging},
  author={Gatidis, Sergios and Fr{\"u}h, Marcel and Fabritius, Matthias and Gu, Sijing and Nikolaou, Konstantin and La Foug{\`e}re, Christian and Ye, Jin and He, Junjun and Peng, Yige and Bi, Lei and others},
  journal={preprint at Research Square (Nature Portfolio )},
  doi={https://doi.org/10.21203/rs.3.rs-2572595/v1},
  year={2023}
}


@article{TCIA,
  title={The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository},
  author={Clark, Ken and Vendt, Bruce and Smith, Kirk and Freymann, John and Kirby, Justin and Koppel, Paul and Moore, Stephen and Phillips, Stephen and Maffitt, Derek and Pringle, Michael and Tarbox, Lawrence and Prior, Fred},
  journal={Journal of Digital Imaging},
  volume={26},
  number={6},
  pages={1045--1057},
  year={2013}
}

@inproceedings{ITKSNAP,
  title={ITK-SNAP: An interactive tool for semi-automatic segmentation of multi-modality biomedical images},
  author={Yushkevich, Paul A and Gao, Yang and Gerig, Guido},
  booktitle={Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  pages={3342--3345},
  year={2016}
}


@article{codalab,
  author  = {Adrien Pavao and Isabelle Guyon and Anne-Catherine Letournel and Dinh-Tuan Tran and Xavier Baro and Hugo Jair Escalante and Sergio Escalera and Tyler Thomas and Zhen Xu},
  title   = {CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges},
  journal = {Journal of Machine Learning Research},
  year    = {2023},
  volume  = {24},
  number  = {198},
  pages   = {1--6}
}

@inproceedings{yang2022st++,
  title={St++: Make self-training work better for semi-supervised semantic segmentation},
  author={Yang, Lihe and Zhuo, Wei and Qi, Lei and Shi, Yinghuan and Gao, Yang},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={4268--4277},
  year={2022}
}
@ARTICLE{Chen2022,
  author={Chen, Yanbei and Mancini, Massimiliano and Zhu, Xiatian and Akata, Zeynep},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
  title={Semi-Supervised and Unsupervised Deep Visual Learning: A Survey}, 
  year={2022},
  volume={},
  number={},
  pages={1-23},
  doi={10.1109/TPAMI.2022.3201576}}
  @inproceedings{blum1998combining,
  title={Combining labeled and unlabeled data with co-training},
  author={Blum, Avrim and Mitchell, Tom},
  booktitle={Proceedings of the eleventh annual conference on Computational learning theory},
  pages={92--100},
  year={1998}
}
@article{zhang2021efficient,
  title={Efficient context-aware network for abdominal multi-organ segmentation},
  author={Zhang, Fan and Wang, Yu and Yang, Hua},
  journal={arXiv preprint arXiv:2109.10601},
  year={2021}
}
@inproceedings{cordts2016cityscapes,
  title={The cityscapes dataset for semantic urban scene understanding},
  author={Cordts, Marius and Omran, Mohamed and Ramos, Sebastian and Rehfeld, Timo and Enzweiler, Markus and Benenson, Rodrigo and Franke, Uwe and Roth, Stefan and Schiele, Bernt},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={3213--3223},
  year={2016}
}
@article{everingham2015pascal,
  title={The pascal visual object classes challenge: A retrospective},
  author={Everingham, Mark and Eslami, SM and Van Gool, Luc and Williams, Christopher KI and Winn, John and Zisserman, Andrew},
  journal={International journal of computer vision},
  volume={111},
  number={1},
  pages={98--136},
  year={2015},
  publisher={Springer}
}
@inproceedings{chen2021semi,
  title={Semi-supervised semantic segmentation with cross pseudo supervision},
  author={Chen, Xiaokang and Yuan, Yuhui and Zeng, Gang and Wang, Jingdong},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={2613--2622},
  year={2021}
}
@article{mittal2019semi,
  title={Semi-supervised semantic segmentation with high-and low-level consistency},
  author={Mittal, Sudhanshu and Tatarchenko, Maxim and Brox, Thomas},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  volume={43},
  number={4},
  pages={1369--1379},
  year={2019},
  publisher={IEEE}
}
@inproceedings{chen2020naive,
  title={Naive-student: Leveraging semi-supervised learning in video sequences for urban scene segmentation},
  author={Chen, Liang-Chieh and Lopes, Raphael Gontijo and Cheng, Bowen and Collins, Maxwell D and Cubuk, Ekin D and Zoph, Barret and Adam, Hartwig and Shlens, Jonathon},
  booktitle={European Conference on Computer Vision},
  pages={695--714},
  year={2020},
  organization={Springer}
}
@article{scudder1965probability,
  title={Probability of error of some adaptive pattern-recognition machines},
  author={Scudder, Henry},
  journal={IEEE Transactions on Information Theory},
  volume={11},
  number={3},
  pages={363--371},
  year={1965},
  publisher={IEEE}
}
@article{fralick1967learning,
  title={Learning to recognize patterns without a teacher},
  author={Fralick, S},
  journal={IEEE Transactions on Information Theory},
  volume={13},
  number={1},
  pages={57--64},
  year={1967},
  publisher={IEEE}
}


@misc{NIHPancreas,
  title = {{NIH Pancreas}},
  howpublished = "\url{https://wiki.cancerimagingarchive.net/display/Public/Pancreas-CT}",
  year = {2020},
  note = "[Online; Accessed: Aug. 2020]"
}

@inproceedings{ronneberger2015u,
  title={U-net: Convolutional networks for biomedical image segmentation},
  author={Ronneberger, Olaf and Fischer, Philipp and Brox, Thomas},
  booktitle={International Conference on Medical image computing and computer-assisted intervention},
  pages={234--241},
  year={2015}
}



@article{isensee2021nnu,
  title={nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation},
  author={Isensee, Fabian and Jaeger, Paul F and Kohl, Simon AA and Petersen, Jens and Maier-Hein, Klaus H},
  journal={Nature Methods},
  volume={18},
  number={2},
  pages={203--211},
  year={2021}
}

@article{LossOdyssey,
title = {Loss Odyssey in Medical Image Segmentation},
journal = {Medical Image Analysis},
volume = {71},
pages = {102035},
year = {2021},
author = {Jun Ma and Jianan Chen and Matthew Ng and Rui Huang and Yu Li and Chen Li and Xiaoping Yang and Anne L. Martel}
}

@article{bilic2019lits,
  title={The liver tumor segmentation benchmark (lits)},
  author={Bilic, Patrick and Christ, Patrick Ferdinand and Vorontsov, Eugene and Chlebus, Grzegorz and Chen, Hao and Dou, Qi and Fu, Chi-Wing and Han, Xiao and Heng, Pheng-Ann and Hesser, J{\"u}rgen and others},
  journal={arXiv preprint arXiv:1901.04056},
  year={2019}
}


@misc{roth9data,
  title={Data from Pancreas-CT. The Cancer Imaging Archive (2016)},
  author={Roth, H and Farag, A and Turkbey, EB and Lu, L and Liu, J and Summers, RM}
}
@inproceedings{roth2015deeporgan,
  title={Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation},
  author={Roth, Holger R and Lu, Le and Farag, Amal and Shin, Hoo-Chang and Liu, Jiamin and Turkbey, Evrim B and Summers, Ronald M},
  booktitle={International conference on medical image computing and computer-assisted intervention},
  pages={556--564},
  year={2015},
  organization={Springer}
}
@article{clark2013TCIA,
  title={The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository},
  author={Clark, Kenneth and Vendt, Bruce and Smith, Kirk and Freymann, John and Kirby, Justin and Koppel, Paul and Moore, Stephen and Phillips, Stanley and Maffitt, David and Pringle, Michael and others},
  journal={Journal of Digital Imaging},
  volume={26},
  number={6},
  pages={1045--1057},
  year={2013}
}