Publications

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Conference Abstract
Gauvin, G., Yeo C. T., Ungi T., Fichtinger G., Nanji S., Rudan J., et al. (2014).  Real-time EM navigated breast conserving surgery: phantom and cadaver experiments. Seventh Image Guided Therapy Workshop (MICCAI).
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).  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)
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)
Holden, M. S., Ungi T., Sargent D., McGraw R. C., Chen E. C. S., Ganapathy S., et al. (2013).  Real-Time Workflow Segmentation for Needle-Based Interventions. ImNO2013 - Imaging Network Ontario Symposium. PDF icon Holden2013a-Abstract.pdf (288.68 KB)PDF icon Holden2013a-Poster.pdf (474.54 KB)
Holden, M. S., Keri Z., Ungi T., Yeo C., Ring J., Fichtinger G., et al. (2017).  Reducing Cost and Complexity in Computer-Assisted Training for Lumpectomy. William Ersil Resident Research Day. PDF icon Holden2017c.pdf (60.83 KB)PDF icon Holden2017c-poster.pdf (681.31 KB)
Isen, J., Hisey R., Ungi T., & Fichtinger G. (2019).  Retraining MobileNet with highly variable data for tool detection in central venous catheterization. 17th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Isen2019a.pdf (3.12 MB)
Church, B. (2017).  Scoliosis visualization using transverse process landmarks. (Lasso, A., Schlenger C., Borschneck D. P., Mousavi P., Fichtinger G., & Ungi T., Ed.).15th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Church2017b.pdf (165.6 KB)PDF icon Church2017b-poster.pdf (872.64 KB)
Ungi, T., Lasso A., Pinter C., Rankin A., & Fichtinger G. (2013).  SlicerIGT: Open-source platform for image-guided needle interventions. ImNO2013 - Imaging Network Ontario Symposium. PDF icon Ungi2013a.pdf (574.62 KB)
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).
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)
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.
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., 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)
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)
Wu, V., Ungi T., Sunderland K., Pigeau G., Schonewille A., & Fichtinger G. (2020).  Using multiple frame U-net for automated segmentation of spinal ultrasound images. 18th Annual Imaging Network Ontario (ImNO) Symposium. PDF icon Wu2020b.pdf (133.02 KB)
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)
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)
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)
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)
Conference Paper
Heffernan, E., Ungi T., Vaughan T., Pezeshki P., Lasso A., Gauvin G., et al. (2016).  Accuracy of lesion boundary tracking in navigated breast tumor excision. SPIE Medical Imaging 2016. 9786, 97860Y-1-6.PDF icon Heffernan2016-manuscript.pdf (303.45 KB)
Ungi, T., Yeo C. T., U-Thainual P., McGraw R. C., & Fichtinger G. (2011).  Augmented Reality Needle Guidance Improves Facet Joint Injection Training. SPIE Medical Imaging. 7964, 79642E 1-7.PDF icon Ungi2011b.pdf (195.32 KB)
Ungi, T., U-Thainual P., Lasso A., Yeo C. T., McGraw R. C., & Fichtinger G. (2011).  Augmented reality training to improve needle-based percutaneous interventions. ImNO2011 - Imaging Network Ontario Symposium. PDF icon Ungi2011a.pdf (400.3 KB)
Fritz, J., U-Thainual P., Ungi T., Flammang A. J., Cho N. Bongjoon, Fichtinger G., et al. (2011).  Augmented Reality Visualization Using Image-overlay for MR-guided Interventions: Assessment of Performance in Cadaveric Shoulder and Hip Arthrography. RSNA 97th Scientific Assembly and Annual Meeting. PDF icon 254.full_.pdf (1014.02 KB)
Wu, V., Ungi T., Sunderland K., Pigeau G., Schonewille A., & Fichtinger G. (2020).  Automatic segmentation of spinal ultrasound landmarks with U-net using multiple consecutive images for input. SPIE Medical Imaging. PDF icon Wu2020a.pdf (292.4 KB)

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