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yiqian-wang / retinal_reg_papers

Personal paper list in retinal image registration
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I hope to get the dataset used in the paper #1

Open Y-joker opened 2 years ago

Y-joker commented 2 years ago

I am a graduate student at Nanjing University of Science and Technology. I am working on multimodal retinal image registration and have read your related paper. I am wondering if you could kindly send me the source program, dataset and the necessary information used in"Robust Content-Adaptive Global Registration for Multimodal Retinal Images Using Weakly Supervised Deep-Learning Framework". I promise they will be used only for research purposes. Thank you very much for your kind consideration and I am looking forward to your early reply. My email: 1054180994@qq.com

yiqian-wang commented 2 years ago

Thanks for your interest in our work. I'll need to confirm with my advisor if there's any plan on releasing the dataset and code.

Y-joker commented 2 years ago

Thanks for your interest in our work. I'll need to confirm with my advisor if there's any plan on releasing the dataset and code.

Thank you for your reply. I would be very grateful if I could get ground-truth and vascular segmentation results from the public dataset of "Diabetic retinopathy by digital curvelet Transform".

yiqian-wang commented 2 years ago

If you're refering to the FFAP dataset, the manually labeled ground-truth transformation is provided in this repo: https://github.com/JunkangZhang/RetinalSegReg Please cite our paper if you're using it in your work, thanks.

Y-joker commented 2 years ago

OK! Thanks for your reply.

Y-joker commented 2 years ago

Hello, I'm hoping to compare with URSIFT-PIIFD-AGMM and Phase-HOG -RANSAC, but I can't find their executable code. I wonder if you could send me a copy of their code. Thank you.

JachyLikeCoding commented 1 year ago

Hi, yiqian. I am a Ph.D. student at Zhejiang University. I recently came across your paper "Robust Content-Adaptive Global Registration for Multimodal Retinal Images Using Weakly Supervised Deep-Learning Framework" and found the research work fascinating. I am particularly interested in the implementation details and would like to explore the source code associated with your study. I have made an effort to search for the source code online, but have not been able to locate it. Therefore, I am reaching out to kindly inquire whether the source code for your proposed method is publicly available now. I look forward to your response.

My email: 1098587201@qq.com