nissy-shota / pytorch-complex

pytorch-complex

Install it using pip:

pip install pytorch-complex

Usage: Similar to PyTorch. For using the Complex features of this library, just change the regular torch imports with torchcomplex imports. For example: import torchcomplex.nn as nn instead of import torch.nn as nn Then, simply nn.Conv2d for both torch and torchcomplex, for 2D Convolution

Credits

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If you use this package or benift from the codes of this repo, please cite the following in your publications:

Soumick Chatterjee, Chompunuch Sarasaen, Alessandro Sciarra, Mario Breitkopf, Steffen Oeltze-Jafra, Andreas Nürnberger, Oliver Speck: Going beyond the image space: undersampled MRI reconstruction directly in the k-space using a complex valued residual neural network (ISMRM, May 2021)

BibTeX entry:

@inproceedings{mickISMRM21ksp,
      author = {Chatterjee, Soumick and Sarasaen, Chompunuch and Sciarra, Alessandro and Breitkopf, Mario and Oeltze-Jafra, Steffen and Nürnberger, Andreas and                     Speck, Oliver},
      year = {2021},
      month = {05},
      pages = {1757},
      title = {Going beyond the image space: undersampled MRI reconstruction directly in the k-space using a complex valued residual neural network},
      booktitle={2021 ISMRM \& SMRT Annual Meeting \& Exhibition}
}

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