A New Approach to Orthopedic Surgery Planning Using Deep Reinforcement Learning and Simulation

Joëlle Ackermann, Matthias Wieland, Armando Hoch, Reinhold Ganz, Jess Gerrit Snedeker, Martin R. Oswald, Marc Pollefeys, Patrick O. Zingg, Hooman Esfandiari, Philipp Fürnstahl. A New Approach to Orthopedic Surgery Planning Using Deep Reinforcement Learning and Simulation. In Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part IV. Volume 12904 of Lecture Notes in Computer Science, pages 540-549, Springer, 2021. [doi]

@inproceedings{AckermannWHGSOP21,
  title = {A New Approach to Orthopedic Surgery Planning Using Deep Reinforcement Learning and Simulation},
  author = {Joëlle Ackermann and Matthias Wieland and Armando Hoch and Reinhold Ganz and Jess Gerrit Snedeker and Martin R. Oswald and Marc Pollefeys and Patrick O. Zingg and Hooman Esfandiari and Philipp Fürnstahl},
  year = {2021},
  doi = {10.1007/978-3-030-87202-1_52},
  url = {https://doi.org/10.1007/978-3-030-87202-1_52},
  researchr = {https://researchr.org/publication/AckermannWHGSOP21},
  cites = {0},
  citedby = {0},
  pages = {540-549},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part IV},
  editor = {Marleen de Bruijne and Philippe C. Cattin and Stéphane Cotin and Nicolas Padoy and Stefanie Speidel and Yefeng Zheng and Caroline Essert},
  volume = {12904},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-87202-1},
}