Retrospective motion artifact correction of structural MRI images using deep learning improves the quality of cortical surface reconstructions

Ben A. Duffy, Lu Zhao, Farshid Sepehrband, Joyce Min, Danny J. J. Wang, Yonggang Shi, Arthur W. Toga, Hosung Kim. Retrospective motion artifact correction of structural MRI images using deep learning improves the quality of cortical surface reconstructions. NeuroImage, 230:117756, 2021. [doi]

@article{DuffyZSMWSTK21,
  title = {Retrospective motion artifact correction of structural MRI images using deep learning improves the quality of cortical surface reconstructions},
  author = {Ben A. Duffy and Lu Zhao and Farshid Sepehrband and Joyce Min and Danny J. J. Wang and Yonggang Shi and Arthur W. Toga and Hosung Kim},
  year = {2021},
  doi = {10.1016/j.neuroimage.2021.117756},
  url = {https://doi.org/10.1016/j.neuroimage.2021.117756},
  researchr = {https://researchr.org/publication/DuffyZSMWSTK21},
  cites = {0},
  citedby = {0},
  journal = {NeuroImage},
  volume = {230},
  pages = {117756},
}