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Filters: Author is Zachary M C Baum [Clear All Filters]

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V

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.

Baum2018a.pdf (1.46 MB)

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)

U

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.

Baum2017a.pdf (889.77 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., 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.

Baum2018b.pdf (1.03 MB)

Baum2018b-Poster.pdf (961.09 KB)

S

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)

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.

Underwood2017.pdf (1.5 MB)

R

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,

Perrin2019a.pdf (686.56 KB)

Hisey, R., Ungi T., Holden M. S., 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.

RHisey_SPIE2018_Full_02.pdf (749.23 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.

Pinter2018.pdf (297.47 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).

Pinter2018a.pdf (125.23 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.

Baum2017c.pdf (172.76 KB)

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,

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).

Baum2016b.pdf (679.99 KB)

P

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.

Bibic2017a.pdf (256.64 KB)

Bibic2017a-Poster.pptx (6.07 MB)

Ilina, A., Lasso A., Jolley M. A., Wohler B., Nguyen A., Scanlan A. B., et al. (2017). Patient-specific pediatric silicone heart valve models based on 3D ultrasound. SPIE Medical Imaging 2017. 10135,

Ilina2017a.pdf (499.59 KB)

M

Harish, V., Bibic E., Lasso A., Holden M. S., Vaughan T., Baum Z. M. C., et al. (2017). Monitoring electromagnetic tracking error using redundant sensors. SPIE Medical Imaging 2017.

Harish2017a.pdf (657.31 KB)

Harish, V., Baksh A., Ungi T., Lasso A., Baum Z. M. C., Gauvin G., et al. (2016). Monitoring electromagnetic tracking error in computer-navigated breast cancer surgery. 14th Annual Imaging Network Ontario Symposium (ImNO).

Harish2016c.pdf (1.25 MB)

Harish, V., Baksh A., Ungi T., Lasso A., Baum Z. M. C., Gauvin G., et al. (2016). Measurement of electromagnetic tracking error in a navigated breast surgery setup. SPIE Medical Imaging 2016. 9786,

Harish2016a.pdf (4.07 MB)

E

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 .

House2017a.pdf (754 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.

Baum2017b.pdf (276.46 KB)

C

Ilina, A., Lasso A., Jolley M. A., Wohler B., Nguyen A., 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).

Ilina2017b.pdf (151.56 KB)

Ilina2017b-poster.pdf (812.75 KB)

A

Ungi, T., Greer H., Sunderland K. R., Wu V., Baum Z. M. C., Schlenger C., et al. (2020). Automatic spine ultrasound segmentation for scoliosis visualization and measurement. IEEE Transactions on Biomedical Engineering. 67, 3234 - 3241.

Ungi2020.pdf (676.48 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)

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)

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