Efficient Large Deformation Registration via Geodesics on a Learned Manifold of Images

Jihun Hamm, Christos Davatzikos, Ragini Verma. Efficient Large Deformation Registration via Geodesics on a Learned Manifold of Images. In Guang-Zhong Yang, David J. Hawkes, Daniel Rueckert, J. Alison Noble, Chris J. Taylor 0002, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part I. Volume 5761 of Lecture Notes in Computer Science, pages 680-687, Springer, 2009. [doi]

@inproceedings{HammDV09,
  title = {Efficient Large Deformation Registration via Geodesics on a Learned Manifold of Images},
  author = {Jihun Hamm and Christos Davatzikos and Ragini Verma},
  year = {2009},
  doi = {10.1007/978-3-642-04268-3_84},
  url = {http://dx.doi.org/10.1007/978-3-642-04268-3_84},
  researchr = {https://researchr.org/publication/HammDV09},
  cites = {0},
  citedby = {0},
  pages = {680-687},
  booktitle = {Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part I},
  editor = {Guang-Zhong Yang and David J. Hawkes and Daniel Rueckert and J. Alison Noble and Chris J. Taylor 0002},
  volume = {5761},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-04267-6},
}