@INPROCEEDINGS{Chheang_2019_Demo_AVIR,
  author={V. {Chheang} and P. {Saalfeld} and T. {Huber} and F. {Huettl} and W. {Kneist} and B. {Preim} and C. {Hansen}},
  booktitle={2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)}, 
  title={An Interactive Demonstration of Collaborative VR for Laparoscopic Liver Surgery Training}, 
  year={2019},
  volume={},
  number={},
  pages={247-2471},
  abstract={We introduce a collaborative virtual reality (VR) system for planning and simulation in laparoscopic liver surgery training. Patient image data is used for surgical model visualization and simulation. We developed two modes for training in laparoscopic procedures: exploration and surgery mode. Surgical joysticks are used in surgery mode to provide training for psychomotor skills and cooperation between a camera assistant and an experienced surgeon. Continuous feedback from our clinical partner comprised an important part of the development. Our evaluation showed that surgeons were positive about the usability and usefulness of the developed system. For further details, please refer to our full article and additional materials.},
  keywords={biomedical education;computer based training;data visualisation;groupware;interactive devices;liver;medical image processing;surgery;virtual reality;planning;laparoscopic liver surgery training;patient image data;surgical model visualization;laparoscopic procedures;surgery mode;interactive demonstration;collaborative VR;collaborative virtual reality system;surgical joysticks;psychomotor skills;Laparoscopic surgery;collaborative VR;surgical training;immersive virtual reality},
  doi={10.1109/AIVR46125.2019.00055},
  ISSN={},
  month={Dec},}