@article {Baum2019b,
	title = {Assessment of intraoperative neurosurgical planning with the Microsoft HoloLens},
	year = {2019},
	publisher = {Imaging Network Ontario (ImNO)},
	address = {London, Ontario},
	author = {Zachary M C Baum and Sarah Ryan and Emily Rae and Andras Lasso and Tamas Ungi and Ron Levy and Gabor Fichtinger}
}
@article {Baum2020,
	title = {Augmented reality training platform for neurosurgical burr hole localization},
	journal = {Journal of Medical Robotics Research},
	volume = {4},
	number = {3-4},
	year = {2019},
	month = {01/2020},
	pages = {1942001-1 - 1942001-13},
	type = {Special Issue},
	abstract = {<p>Augmented reality (AR) is used in neurosurgery to visualize lesions and plan procedures pre-operatively and intra-operatively, though its use has not been widely adopted in simulation-based neurosurgical training for the same tasks. This work defines metrics to determine performance in drill position and angle identification for neurosurgical training. The metrics were validated intra-operatively and in a simulated training environment, demonstrating that trainees identify drill position and angle faster and more accurately with AR compared to standard techniques. Training using AR and the proposed metrics stands to add value to neurosurgical curricula development.</p>
},
	keywords = {augmented reality, competency-based medical education, holography, neurosurgery, surgical planning, visualization},
	doi = {https://doi.org/10.1142/S2424905X19420017},
	author = {Zachary M C Baum and Andras Lasso and Sarah Ryan and Tamas Ungi and Emily Rae and Boris Zevin and Ron Levy and Gabor Fichtinger}
}
