Challenge Rules:

1.  If using these datasets, you must cite the papers: 

[1]Zhang M, Zhang H, Yang G Z, et al. CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs[C]//Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part I. Cham: Springer Nature Switzerland, 2022: 506-516. [paper link]

[2]Zheng H, Qin Y, Gu Y, et al. Alleviating class-wise gradient imbalance for pulmonary airway segmentation[J]. IEEE Transactions on Medical Imaging, 2021, 40(9): 2452-2462. [paper link]

[3]Yu W, Zheng H, Zhang M, et al. BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding[C]//2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). IEEE, 2022: 1-5. [paper link]

[4]Qin Y, Chen M, Zheng H, et al. Airwaynet: a voxel-connectivity aware approach for accurate airway segmentation using convolutional neural networks[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2019: 212-220. [paper link]

The BibTeXs of the above papers are as follows:

@inproceedings{zhang2022cfda,
  title={CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs},
  author={Zhang, Minghui and Zhang, Hanxiao and Yang, Guang-Zhong and Gu, Yun},
  booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2022: 25th International Conference, Singapore, September 18--22, 2022, Proceedings, Part I},
  pages={506--516},
  year={2022},
  organization={Springer}
}
@article{zheng2021alleviating,
  title={Alleviating class-wise gradient imbalance for pulmonary airway segmentation},
  author={Zheng, Hao and Qin, Yulei and Gu, Yun and Xie, Fangfang and Yang, Jie and Sun, Jiayuan and Yang, Guang-Zhong},
  journal={IEEE Transactions on Medical Imaging},
  volume={40},
  number={9},
  pages={2452--2462},
  year={2021},
  publisher={IEEE}
}
@inproceedings{yu2022break,
  title={BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding},
  author={Yu, Weihao and Zheng, Hao and Zhang, Minghui and Zhang, Hanxiao and Sun, Jiayuan and Yang, Jie},
  booktitle={2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)},
  pages={1--5},
  year={2022},
  organization={IEEE}
}
@inproceedings{qin2019airwaynet,
  title={Airwaynet: a voxel-connectivity aware approach for accurate airway segmentation using convolutional neural networks},
  author={Qin, Yulei and Chen, Mingjian and Zheng, Hao and Gu, Yun and Shen, Mali and Yang, Jie and Huang, Xiaolin and Zhu, Yue-Min and Yang, Guang-Zhong},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={212--220},
  year={2019},
  organization={Springer}
}

You could cite our challenge benchmark manuscipt as well: 

Zhang M, Wu Y, Zhang H, et al. Multi-site, Multi-domain Airway Tree Modeling[J]. Medical Image Analysis, 2023, 90: 102957.. [paper link]

BibTex is here:

@article{zhang2023multi,
  title={Multi-site, Multi-domain Airway Tree Modeling},
  author={Zhang, Minghui and Wu, Yangqian and Zhang, Hanxiao and Qin, Yulei and Zheng, Hao and Tang, Wen and Arnold, Corey and Pei, Chenhao and Yu, Pengxin and Nan, Yang and others},
  journal={Medical Image Analysis},
  volume={90},
  pages={102957},
  year={2023},
  publisher={Elsevier}
}

2.  Transfer of the dataset to others is not allowed!

We schedule to publish a challenge paper, no more than three authors of the top five performing methods are qualified as authors in the final challenge paper.  The top five performing methods must release the final code (prefered to share on the github) for the reproducible research as requested by organizers and the Grand Challenge Support Team.

The challenge data and results can be free to use for personal scientific research aims after the challenge results publication has been released. The organizers promise the blackout period will not be no longer than six months after the MICCAI-2022 challenge is finished.

Please note that the data can not transfer to others who do not sign the document as the official registration required.

In addtion, use our data as a part of another dataset for new challenge creation is forbidden!!!

3.  Paper Rules

All participants should agree that the submitted short papers can be used by the organizers to present and prepare the challenge papers. We schedule to first prepare a manuscript to present on the arxiv.org for this challenge citation usage, then we will cooperate with the top-5 teams to target a journal publication. All teams are allowed to publish their full work after our manuscript has been on the arxiv.org and follow the citation rules. We choose this preprint way to shorten the block period to a large extent of the challenge paper, so participants should obey our rules.

4.  Reproducible Research Responsibility

The top-5 teams must make their code publicly available (at least the successful docker) for verification and reproducible research as required by the challenge organization team and official grand-challenge support team.  Please keep in mind that the ATM'22 organizers have the right to open your submitted files to contribute to the research community.

5.  Participation Rule Regard to Other Dataset

Participants are not allowed to use other dataset with airway annotation to training a pre-trained model or together with our ATM'22 data in our challenge.