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sa867 / multiframe_attention_3d_echo

Apache License 2.0
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Code release #2

Open MAGomes95 opened 2 years ago

MAGomes95 commented 2 years ago

Dear contributor,

I am submitting this issue in order to ask if there's an expected date or time frame for the release of the code.

Thank you!

sa867 commented 2 years ago

Hi, Thank you for your interest in the code! My apologies. I am currently in the process of polishing my code and expanding it to a full journal paper. I will update the modified code in the next few weeks. Please let me know if you have any questions in the meantime!

MAGomes95 commented 2 years ago

Many thanks for your answer :)

I would also like this chance to ask if the data you used for training is available somewhere.

If not, are you able to provide it?

Gratefully,

M.

sa867 @.***> escreveu no dia quinta, 2/06/2022 à(s) 01:11:

Hi, Thank you for your interest in the code! My apologies. I am currently in the process of polishing my code and expanding it to a full journal paper. I will update the modified code in the next few weeks. Please let me know if you have any questions in the meantime!

— Reply to this email directly, view it on GitHub https://github.com/sa867/multiframe_attention_3d_echo/issues/2#issuecomment-1144269359, or unsubscribe https://github.com/notifications/unsubscribe-auth/AHLP6S5DCUM6CZPKRLGTS7TVM733TANCNFSM5WWD3ILA . You are receiving this because you authored the thread.Message ID: @.***>

sa867 commented 2 years ago

Hi, The dataset that I used are in vivo echo images I acquired during my collaboration with another lab that does pig myocardial infarction studies. Unfortunately, the dataset is directly owned by the lab and I don't have the permission to share it. We are currently in the works to publish the dataset as well so others can have public 3D+time echocardiography datasets to work with. Unfortunately, I'm not sure when that will be at the moment.

For other public datasets in echo, I would recommend works by Alessandrini et al (2015) IEEE TMI. Although the synthetic dataset from that paper has some inherent limitations that may not work well with my proposed attention mechanism. Happy to talk more if you have more questions.

MAGomes95 commented 2 years ago

Could you mention the names of the publications that you are referring to? by Alessandrini

sa867 @.***> escreveu no dia quinta, 2/06/2022 à(s) 15:30:

Hi, The dataset that I used are in vivo echo images I acquired during my collaboration with another lab that does pig myocardial infarction studies. Unfortunately, the dataset is directly owned by the lab and I don't have the permission to share it. We are currently in the works to publish the dataset as well so others can have public 3D+time echocardiography datasets to work with. Unfortunately, I'm not sure when that will be at the moment.

For other public datasets in echo, I would recommend works by Alessandrini et al (2015) IEEE TMI. Although the synthetic dataset from that paper has some inherent limitations that may not work well with my proposed attention mechanism. Happy to talk more if you have more questions.

— Reply to this email directly, view it on GitHub https://github.com/sa867/multiframe_attention_3d_echo/issues/2#issuecomment-1144934761, or unsubscribe https://github.com/notifications/unsubscribe-auth/AHLP6S7BJBT4PU6YQYVW2YLVNDAQ5ANCNFSM5WWD3ILA . You are receiving this because you authored the thread.Message ID: @.***>