List of deep learning-based quantitative susceptibility mapping (QSM) projects with source code and data where available

• SHARQnet
  
  Details

  - Language: Python (Tensorflow)
  - Method: Background field correction
  - Code: not yet publicly available, but available on request: steffen.bollmann@cai.uq.edu.au
  - Reference: http://www.sciencedirect.com/science/article/pii/S0939388918301673
  

• xQSM
  

  Details

  - Language: MATLAB & Python (Pytorch)
  - Method: Dipole inversion
  - Code: https://github.com/sunhongfu/deepMRI/tree/master/xQSM
  - Reference: https://arxiv.org/abs/2004.06281
  

• Deepqsm
  

  Details

  - Language: Python (Tensorflow)
  - Method: Dipole inversion
  - Code: https://colab.research.google.com/github/brainhack101/IntroDL/blob/master/notebooks/2019/Bollman/Steffen_Bollman_Deep_learning_QSM_tutorial_OHBM.ipynb
  - Tutorial: https://www.pathlms.com/ohbm/courses/12238/sections/15846/video_presentations/137444 (start: 1:16:56) - Reference: https://doi.org/10.1016/j.neuroimage.2019.03.060
  

• QSMnet+
  

  Details

  - Language: Python (Tensorflow)
  - Method: Dipole inversion
  - Code: https://github.com/SNU-LIST/QSMnet
  - Reference: https://doi.org/10.1016/j.neuroimage.2018.06.030
        https://arxiv.org/abs/1909.07716

• VaNDI
  

  Details

  - Language: Python (Tensorflow)
  - Method: Dipole inversion
  - Code: https://www.dropbox.com/s/ubabfhwfpjphpo1/NDI_Toolbox.zip?dl=0
  - Reference: http://arxiv.org/abs/1909.13692
  

• autoQSM
  
  Details

  - Language: Python
  - Method: Background field correction + Dipole inversion
  - Code: not yet available
  - Reference: http://www.sciencedirect.com/science/article/pii/S1053811919306469