Flexible Bayesian Modelling for Nonlinear Image Registration

Mikael Brudfors, Yaël Balbastre, Guillaume Flandin, Parashkev Nachev, John Ashburner. Flexible Bayesian Modelling for Nonlinear Image Registration. 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 III. Volume 12263 of Lecture Notes in Computer Science, pages 253-263, Springer, 2020. [doi]

@inproceedings{BrudforsBFNA20,
  title = {Flexible Bayesian Modelling for Nonlinear Image Registration},
  author = {Mikael Brudfors and Yaël Balbastre and Guillaume Flandin and Parashkev Nachev and John Ashburner},
  year = {2020},
  doi = {10.1007/978-3-030-59716-0_25},
  url = {https://doi.org/10.1007/978-3-030-59716-0_25},
  researchr = {https://researchr.org/publication/BrudforsBFNA20},
  cites = {0},
  citedby = {0},
  pages = {253-263},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part III},
  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 = {12263},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-59716-0},
}