Unsupervised Deep Learning for Susceptibility Distortion Correction in Connectome Imaging

Yuchuan Qiao, Yonggang Shi. Unsupervised Deep Learning for Susceptibility Distortion Correction in Connectome Imaging. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII. Volume 12267 of Lecture Notes in Computer Science, pages 302-310, Springer, 2020. [doi]

@inproceedings{QiaoS20,
  title = {Unsupervised Deep Learning for Susceptibility Distortion Correction in Connectome Imaging},
  author = {Yuchuan Qiao and Yonggang Shi},
  year = {2020},
  doi = {10.1007/978-3-030-59728-3_30},
  url = {https://doi.org/10.1007/978-3-030-59728-3_30},
  researchr = {https://researchr.org/publication/QiaoS20},
  cites = {0},
  citedby = {0},
  pages = {302-310},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII},
  editor = {Anne L. Martel and Purang Abolmaesumi and Danail Stoyanov and Diana Mateus and Maria A. Zuluaga and S. Kevin Zhou and Daniel Racoceanu and Leo Joskowicz},
  volume = {12267},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-59728-3},
}