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]

Authors

Joëlle Ackermann

This author has not been identified. Look up 'Joëlle Ackermann' in Google

Matthias Wieland

This author has not been identified. Look up 'Matthias Wieland' in Google

Armando Hoch

This author has not been identified. Look up 'Armando Hoch' in Google

Reinhold Ganz

This author has not been identified. Look up 'Reinhold Ganz' in Google

Jess Gerrit Snedeker

This author has not been identified. Look up 'Jess Gerrit Snedeker' in Google

Martin R. Oswald

This author has not been identified. Look up 'Martin R. Oswald' in Google

Marc Pollefeys

This author has not been identified. Look up 'Marc Pollefeys' in Google

Patrick O. Zingg

This author has not been identified. Look up 'Patrick O. Zingg' in Google

Hooman Esfandiari

This author has not been identified. Look up 'Hooman Esfandiari' in Google

Philipp Fürnstahl

This author has not been identified. Look up 'Philipp Fürnstahl' in Google