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: Biomedical Big Data Research Institute, West China Hospital, Sichuan University
Jiang Kunyuan
Institution: West China Medical Robotics Research Institute
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
If you would like to contribute to HABIT:
Submit bug reports and feature requests
Contribute code and documentation improvements
Share usage experiences and case studies
Participate in clinical validation and algorithm optimization
GitHub repository: https://github.com/lichao312214129/HABIT
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.