Baum, Z. M. C., Church B., Lasso A., Ungi T., Schlenger C., Borschneck D. P., et al.
(2019). Step-wise identification of ultrasound-visible anatomical landmarks for 3D visualization of scoliotic spine.
SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951, Baum2019a.pdf (496 KB) |
Wiercigroch, J., Baum Z. M. C., Ungi T., Fritz J., & Fichtinger G.
(2019). Validation of a low-cost adjustable, handheld needle guide for spine interventions.
SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951, Wiercigroch2019a.pdf (391.96 KB) |
Baum, Z. M. C., Ryan S., Rae E., Lasso A., Ungi T., Levy R., et al.
(2019). Assessment of intraoperative neurosurgical planning with the Microsoft HoloLens.
17th Annual Imaging Network Ontario Symposium (ImNO). Baum2019b.pdf (162.89 KB) |
Lia, H., Baum Z. M. C., Vaughan T., Ungi T., McGregor T., & Fichtinger G.
(2019). Usability and accuracy of an electromagnetically tracked partial nephrectomy navigation system.
17th Annual Imaging Network of Ontario Symposium (ImNO). Lia2019a.pdf (164.12 KB) |
Baum, Z. M. C., Lasso A., Ryan S., Ungi T., Rae E., Zevin B., et al.
(2019). Augmented reality training platform for neurosurgical burr hole localization.
Journal of Medical Robotics Research. 4, 1942001-1 - 1942001-13. Baum2020a.pdf (646.88 KB) |
Baum, Z. M. C.
(2019). AUGMENTED REALITY TRAINING PLATFORM FOR PLACEMENT OF NEUROSURGICAL BURR HOLES.
School of Computing. Masters, Baum2019c.pdf (2.56 MB) |