Official implementation of WaveSep: A Flexible Wavelet-based Approach for Source Separation in Susceptibility Imaging
WaveSep: A Flexible Wavelet-based Approach for Source Separation in Susceptibility Imaging (to appear in MLCN 2023)
Create and activate a new conda environment
conda create -n wavesep python==3.10
conda activate wavesep
Install necessary python packages
pip install -r requirements.txt
python wavesep/qsm_sep.py --data <yml of input data>
The yml file contains the input data for QSM source separation. See data/yml/template_qsm.yml for more details. See data/yml/example_qsm.yml for an example.
python wavesep/sti_sep.py --data <yml of input data>
The yml file contains the input data for STI source separation. See data/yml/template_sti.yml for more details. See data/yml/example_sti.yml for an example.
If you have any questions, please contact me at
Zhenghan Fang
Email: [email protected]