Acknowledgments

We sincerely thank the following experts and institutions for their support and contributions to the HABIT project.

Core developers

Li Chao

  • Institution: Yongchuan Hospital, Chongqing Medical University

Dong Mengshi

  • Institution: The Third Affiliated Hospital of Sun Yat-sen University

Jiang Zekun

  • Institution: West China Biomedical Big Data Center, West China Hospital, Sichuan University

Jiang Kunyuan

  • Institution: West China Medical Robotics Center

Future developers

The following members are expected to join HABIT development.

Clinical collaborators

Dr. Huang Teng

  • Institution: Ganzhou People’s Hospital

Dr. Wang Yaqi

  • Institution: Anhui Medical University Third Affiliated Hospital

Dr. Li Mengsi

  • Institution: Central South University Xiangya Hospital

Dr. Tang Junjie

  • Institution: Southern Medical University Zhujiang Hospital

  • Special contributions: Image registration algorithm design, implementation, and validation (including collaborative test code).

Special thanks

We thank all experts, scholars, and users who have provided valuable feedback in clinical applications, algorithm improvements, and project optimization. Your support drives HABIT’s continued development.

Open source community

HABIT relies on many excellent open-source projects, including but not limited to:

SimpleITK — Medical image processing PyRadiomics — Radiomics feature extraction scikit-learn — Machine learning algorithms pandas & numpy — Data processing matplotlib & seaborn — Visualization

We extend our sincere respect and gratitude to the developers and maintainers of these projects.

How to contribute

To contribute code, docs, or extensions, start with Architecture, then Contributing (environment, tests, and pull-request conventions), then Extending HABIT. Bug reports and feature requests belong on GitHub Issues: GitHub Issues.

Contact

For collaboration or other inquiries:

Email: lichao19870617@163.com GitHub Issues: GitHub Issues

Note

If you have used HABIT in your research and would like to be acknowledged, please contact us via GitHub Issue or email.