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Baum, Z. M. C., Lasso A., Ungi T., & Fichtinger G. (2016).  Real-time self-calibration of a tracked augmented reality display. SPIE Medical Imaging 2016. 9786, PDF icon Baum2016a.pdf (1.85 MB)
Baum, Z. M. C., Lasso A., Ungi T., & Fichtinger G. (2016).  Real-time self-calibration of a handheld augmented reality overlay system. 14th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Baum2016b.pdf (679.99 KB)
Baum, Z. M. C., Ungi T., Lasso A., & Fichtinger G. (2017).  Usability of a real-time tracked augmented reality display system in musculoskeletal injections. SPIE Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling. PDF icon Baum2017a.pdf (889.77 KB)
Baum, Z. M. C., Ungi T., Lasso A., & Fichtinger G. (2017).  Evaluation of a mobile, real-time, tracked augmented reality display for surgical navigation. 15th Annual Imaging Network Ontario Symposiuim. PDF icon Baum2017b.pdf (276.46 KB)
Baum, Z. M. C., Ungi T., Lasso A., & Fichtinger G. (2017).  Real-Time, Tracked, Mobile Augmented Reality Display for Surgical Navigation: Usability Study on Simulated Patients. The 9th IGT Workshop. PDF icon Baum2017c.pdf (172.76 KB)
Baum, Z. M. C., Ungi T., Lasso A., Church B., Schlenger C., & Fichtinger G. (2018).  Visual aid for identifying vertebral landmarks in ultrasound. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. 10576, 105760Z.PDF icon Baum2018a.pdf (1.46 MB)
Baum, Z. M. C., Ungi T., Lasso A., Church B., Schlenger C., & Fichtinger G. (2018).  Ultrasound-based vertebral landmark localization using deformable spine models. 16th Annual Imaging Network Ontario Symposiuim. PDF icon Baum2018b.pdf (1.03 MB)PDF icon Baum2018b-Poster.pdf (961.09 KB)
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, PDF icon Baum2019a.pdf (496 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). PDF icon Baum2019b.pdf (162.89 KB)
Baum, Z. M. C., Lasso A., Ryan S., Ungi T., Rae E., Zevin B., et al. (In Press).  Augmented reality training platform for neurosurgical burr hole localization. Journal of Medical Robotics Research.
Baum, Z. M. C. (2019).  AUGMENTED REALITY TRAINING PLATFORM FOR PLACEMENT OF NEUROSURGICAL BURR HOLES. School of Computing. Masters, PDF icon Baum2019c.pdf (2.56 MB)