Publications

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Filters: Author is Zachary M C Baum  [Clear All Filters]
2019
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. (2019).  Augmented reality training platform for neurosurgical burr hole localization. Journal of Medical Robotics Research. 4, 1942001-1 - 1942001-13.PDF icon Baum2020a.pdf (646.88 KB)
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)
Perrin, S., Baum Z. M. C., Asselin M., Underwood G., Choueib S., Lia H., et al. (2019).  Reproducibility of freehand calibrations for ultrasound-guided needle navigation. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951, PDF icon Perrin2019a.pdf (686.56 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)
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). PDF icon Lia2019a.pdf (164.12 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, PDF icon Wiercigroch2019a.pdf (391.96 KB)
2018
Hisey, R., Ungi T., Holden M., Baum Z. M. C., Keri Z., McCallum C., et al. (2018).  Assessment of the use of webcam based workflow detection for providing real-time feedback in central venous catheterization training. Imaging Network Ontario (IMNO). PDF icon Rebecca_ImNO2018_07.pdf (312.14 KB)
Pinter, C., Travers B., Baum Z. M. C., Ungi T., Lasso A., Church B., et al. (2018).  Real-time transverse process delineation in tracked ultrasound for scoliosis measurement. Imaging Network Ontario Symposium (ImNO 2018). PDF icon Pinter2018a.pdf (125.23 KB)
Pinter, C., Travers B., Baum Z. M. C., Kamali S., Ungi T., Lasso A., et al. (2018).  Real-time transverse process detection in ultrasound. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. PDF icon Pinter2018.pdf (297.47 KB)
Hisey, R., Ungi T., Holden M., Baum Z. M. C., Keri Z., McCallum C., et al. (2018).  Real-time workflow detection using webcam video for providing real-time feedback in central venous catheterization training. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. PDF icon RHisey_SPIE2018_Full_02.pdf (749.23 KB)
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., 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)
2017
Harish, V., Bibic E., Lasso A., Holden M., Vaughan T., Baum Z. M. C., et al. (2017).  An application of redundant sensors for intraoperative electromagnetic tracking error monitoring. 15th Annual Imaging Network Ontario Symposium. PDF icon Harish2017b.pdf (504.36 KB)
Ilina, A., Lasso A., Jolley MA., Wohler B., Nguyen A. V., Scanlan A. B., et al. (2017).  Creating patient-specific anatomical models from highly elastic materials using 3D-printed molds. 15th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Ilina2017b.pdf (151.56 KB)PDF icon Ilina2017b-poster.pdf (812.75 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)
House, R., Lasso A., Harish V., Baum Z. M. C., & Fichtinger G. (2017).  Evaluation of the Intel RealSense SR300 camera for image-guided interventions and application in vertebral level localization. SPIE Medical Imaging . PDF icon House2017a.pdf (754 KB)
Harish, V., Bibic E., Lasso A., Holden M., Vaughan T., Baum Z. M. C., et al. (2017).  Monitoring electromagnetic tracking error using redundant sensors. SPIE Medical Imaging 2017. PDF icon Harish2017a.pdf (657.31 KB)
Ilina, A., Lasso A., Jolley MA., Wohler B., Nguyen A. V., Scanlan A. B., et al. (2017).  Patient-specific pediatric silicone heart valve models based on 3D ultrasound. SPIE Medical Imaging 2017. 10135, PDF icon Ilina2017a.pdf (499.59 KB)
Bibic, E., Baum Z. M. C., Harish V., Ungi T., Lasso A., & Fichtinger G. (2017).  PLUS Model Catalog: A library of 3D-printable models. 15th Annual Imaging Network Ontario Symposiuim. PDF icon Bibic2017a.pdf (256.64 KB)File Bibic2017a-Poster.pptx (6.07 MB)
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)
Underwood, G., Ungi T., Baum Z. M. C., Lasso A., Kronreif G., & Fichtinger G. (2017).  Skull registration for prone patient position using tracked ultrasound. SPIE Medical Imaging 2017. PDF icon Underwood2017.pdf (1.5 MB)
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)

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