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License: GNU General Public License v3.0
The code for paper 'DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution'
License: GNU General Public License v3.0
Hi~
You said in the paper that you use 2 datasets including fastmri.
How do you preprocess fastmri dataset? Especially, how to normalized the multi-channel data to have a maximum magnitude value of 1
as said in the paper?
I would highly appreciate it if you could provide the code to preprocess fastmri dataset and generate tfrecorders like train.tfrecords
?
Hello, I am a graduate student, I would like to ask the version number of python3 and tensorflow you are using, thank you very much!
Hello,
I am trying to implement the code with our own dataset. I have a few questions regarding the training data:
Thanks!
Best,
Cornelia W.
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