Non-Invasive to Invasive: Enhancing FFA Synthesis from CFP with a Benchmark Dataset and a Novel Network

ACM MM 2024 Multimedia Computing for Health and Medicine Workshop

Excited for the Best Paper Award! 🏆 🏆 🏆

Thanks to all the collaborators！

Dataset 📊

We mentioned our efforts to construct a relevant dataset. We are pleased to offer access to this Multi-disease Paired Ocular Synthesis (MPOS) dataset. We invite researchers working on Image synthesis, Retinal Disease Diagnosis, and Medical Imaging and Analysis to make use of this valuable resource. Busy recently, the code will be organized.

Please contact Hongqiu ([email protected]) for the dataset. One step is needed to download the dataset: **1) Use your google email to apply for the download permission (OneDrive BaiduPan). We just handle the real-name email and your email suffix must match your affiliation. The email should contain the following information:

Name/Homepage/Google Scholar: (Tell us who you are.)
Primary Affiliation: (The name of your institution or university, etc.)
Job Title: (E.g., Professor, Associate Professor, Ph.D., etc.)
Affiliation Email: (the password will be sent to this email, we just reply to the email which is the end of "edu".)
How to use: (Only for academic research, not for commercial use or second-development.)

The data provided cannot be forwarded to others, and only individuals with approved applications are authorized to use them.

Thanks for understanding and cooperation!

Citation 📖

If you find our work useful or relevant to your research, please consider citing:

@inproceedings{wang2024non,
  title={Non-Invasive to Invasive: Enhancing FFA Synthesis from CFP with a Benchmark Dataset and a Novel Network},
  author={Wang, Hongqiu and Xing, Zhaohu and Wu, Weitong and Yang, Yijun and Tang, Qingqing and Zhang, Meixia and Xu, Yanwu and Zhu, Lei},
  booktitle={Proceedings of the 1st International Workshop on Multimedia Computing for Health and Medicine},
  pages={7--15},
  year={2024}
}