Publications

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Anand, M., Ungi T., Lasso A., U-Thainual P., Jayender J., Fritz J., et al. (2013).  Workspace Analysis and Calibration Method for Mobile Image Overlay System used for Image-Guided Interventions. The Hamlyn Symposium on Medical Robotics - 2013. PDF icon Anand2013b.pdf (915.32 KB)
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Church, B., Lasso A., Schlenger C., Borschneck D. P., Mousavi P., Fichtinger G., et al. (2017).  Visualization of scoliotic spine using ultrasound-accessible skeletal landmarks. SPIE Medical Imaging 2017. PDF icon Church2017a.pdf (814.95 KB)
Carter, K., Vaughan T., Holden M. S., Gauvin G., Pezeshki P., Lasso A., et al. (2016).  Visual feedback mounted on surgical tool: proof of concept. SPIE Medical Imaging 2016. 9786,
Carter, K., Lasso A., Ungi T., Morin E., & Fichtinger G. (2015).  Visual feedback mounted on surgical tool. 13th Imaging Network of Ontario Symposium (ImNO 2015). 36.PDF icon Carter2015a.pdf (123.23 KB)File Carter2015a-poster.pptx (3.24 MB)File Carter2015a-slides.pptx (21.62 MB)
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)
Vaughan, T., Ungi T., Lasso A., Gauvin G., C. Engel J., Rudan J., et al. (2017).  Virtual views controlled by surgical tools for computer assisted interventions. 15th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Vaughan2017a.pdf (366.19 KB)
Yan, C., Tabanfar R., Kempston M., Borschneck D., Ungi T., & Fichtinger G. (2016).  Vertebral landmark visualization with portable ultrasound imaging in scoliosis monitoring. 14th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Yan2016b.pdf (388.09 KB)
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Isen, J., Hisey R., Ungi T., & Fichtinger G. (2019).  Utilizing a convolutional neural network for tool detection in central venous catheterization. 33rd International Congress & Exhibition on Computer Assisted Radiology and Surgery (CARS). PDF icon Isen2019b.pdf (129.5 KB)
Yeo, C. T., MacDonald A., Ungi T., Lasso A., Jalink D., Zevin B., et al. (2018).  Utility of 3D Reconstruction of 2D Liver Computed Tomography/Magnetic Resonance Images as a Surgical Planning Tool for Residents in Liver Resection Surgery. Journal of Surgical Education. 75, 792-797.PDF icon Yeo2017.pdf (527.68 KB)
Wu, V., Ungi T., & Fichtinger G. (2019).  Using Deep Learning for Transverse Process Detection in Spinal Ultrasounds. 17th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Wu2019a.pdf (158.09 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)
Ungi, T., Lasso A., Welch M., Jalal R., Nagpal S., Jaeger M., et al. (2012).  Ultrasound-guided spinal needle placement on open source platform. ImNO2012 - Imaging Network Ontario Symposium. PDF icon Ungi2012a.pdf (267.8 KB)
Moult, E., Ungi T., Welch M., Lu J.., McGraw R. C., & Fichtinger G. (2013).  Ultrasound-guided facet joint injection training using Perk Tutor. International Journal of Computer Assisted Radiology and Surgery. 8, 831-6.
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)
Ungi, T., Moult E., Schwab J. H., & Fichtinger G. (2013).  Ultrasound Snapshots in Percutaneous Pedicle Screw Placement Navigation: A Feasibility Study. Clinical Orthopaedics and Related Research. PDF icon Ungi2013e_WebVersion.pdf (653.91 KB)
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Lia, H., Keri Z., Holden M. S., Harish V., Mitchell C. H., Ungi T., et al. (2017).  Training with Perk Tutor improves ultrasound-guided in-plane needle insertion skill. SPIE Medical Imaging. 10135, PDF icon Lia-SPIE2017.pdf (373.32 KB)
Fichtinger, G., Siemens R., Holden M. S., Ungi T., Beiko D., Fuoco M., et al. (2014).  Tracked ultrasound snapshots improve the performance of novices in simulated percutaneous nephrostomy. Imaging Network Ontario Symposium.
Ungi, T., Lasso A., & Fichtinger G. (2014).  Tracked Ultrasound in Navigated Spine Interventions. Spinal Imaging and Image Analysis. 469-94.PDF icon Ungi2014c.pdf (870.53 KB)
Ungi, T., Beiko D., Fuoco M., King F., Holden M. S., Fichtinger G., et al. (2014).  Tracked ultrasonography snapshots enhance needle guidance for percutaneous renal access: a pilot study. J Endourol. 28, 1040-5.PDF icon Ungi2014b.pdf (533.29 KB)
Asselin, M., Lasso A., Ungi T., & Fichtinger G. (2018).  Towards webcam-based tracking for interventional navigation. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. PDF icon Asselin2018a.pdf (429.19 KB)
Moult, E., Ungi T., Pinter C., Welch M., Lasso A., & Fichtinger G. (2013).  Temporal calibration of tracked ultrasound. ImNO2013 - Imaging Network Ontario Symposium. PDF icon Moult2013b.pdf (100.25 KB)PDF icon Moult2013b-poster.pdf (202.31 KB)
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MacNeil, K., Wang C., Holden M. S., Ungi T., Fichtinger G., & Hookey L. (2016).  System for objectively evaluating colonoscopy procedural skills using motion analysis. 14th Annual Imaging Network Ontario Symposium (ImNO).
Holden, M. S., Ungi T., Sargent D.., McGraw R. C., & Fichtinger G. (2012).  Surgical Motion Characterization in Simulated Needle-Insertion Procedures. SPIE Medical Imaging 2012. 8316-31.PDF icon Holden2012a.pdf (173.03 KB)
Yan, C., Ungi T., Gauvin G., Jabs D., Lasso A., C. Engel J., et al. (2017).  Study into the displacement of tumor localization needle during navigated breast cancer surgery. SPIE Medical Imaging. PDF icon Yan2017a.pdf (564.16 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)

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