SVF-Net: Learning Deformable Image Registration Using Shape Matching

Marc-Michel Rohé, Manasi Datar, Tobias Heimann, Maxime Sermesant, Xavier Pennec. SVF-Net: Learning Deformable Image Registration Using Shape Matching. In Maxime Descoteaux, Lena Maier-Hein, Alfred Franz, Pierre Jannin, D. Louis Collins, Simon Duchesne, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I. Volume 10433 of Lecture Notes in Computer Science, pages 266-274, Springer, 2017. [doi]

@inproceedings{RoheDHSP17,
  title = {SVF-Net: Learning Deformable Image Registration Using Shape Matching},
  author = {Marc-Michel Rohé and Manasi Datar and Tobias Heimann and Maxime Sermesant and Xavier Pennec},
  year = {2017},
  doi = {10.1007/978-3-319-66182-7_31},
  url = {https://doi.org/10.1007/978-3-319-66182-7_31},
  researchr = {https://researchr.org/publication/RoheDHSP17},
  cites = {0},
  citedby = {0},
  pages = {266-274},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I},
  editor = {Maxime Descoteaux and Lena Maier-Hein and Alfred Franz and Pierre Jannin and D. Louis Collins and Simon Duchesne},
  volume = {10433},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-66182-7},
}