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[Re] Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL #80

Open Bsingstad opened 10 months ago

Bsingstad commented 10 months ago

Original article: N. Strodthoff, P. Wagner, T. Schaeffter, and W. Samek, ‘Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL’, IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 5, pp. 1519–1528, May 2021, doi: 10.1109/JBHI.2020.3022989

PDF URL: https://github.com/Bsingstad/Strodthoff-2021/blob/master/paper/manuscript.pdf Metadata URL: https://github.com/Bsingstad/Strodthoff-2021/blob/master/paper/source%20files/metadata.tex Code URL: https://github.com/Bsingstad/Strodthoff-2021/

Scientific domain: Time series classification Programming language: Python Suggested editor: @ThomasA

rougier commented 10 months ago

Thanks for your submission, we'll assign an editor soon. @ThomasA Can you handle this submission?

Bsingstad commented 8 months ago

@rougier, maybe this submission needs another editor?

rougier commented 8 months ago

Definitely yes. Sorry for the delay.

rougier commented 8 months ago

@ReScience/editors Can any of you handle this submission?

Bsingstad commented 5 months ago

@ReScience/editors Can any of you handle this submission?

@rougier , any news here?

rougier commented 2 months ago

Sorry for the very long delay. @ThomasA @gdetor @benoit-girard @oliviaguest: can you handle this submission?

gdetor commented 2 months ago

@rougier I can handle it.

rougier commented 1 month ago

@Bsingstad sorry very very long delay, the year has been a bit chaotic. @gdetor Great, many thanks. There are plenty of reviewers for deep learning in the board, don't hesitate to ask them at once.

gdetor commented 1 month ago

Dear reviewers @ReScience/reviewers Would anybody be interested in reviewing this work?