Publications

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Conference Abstract
Fichtinger, G., Siemens R., Holden M., 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)
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)
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. R., 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. P., 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)
Laframboise, J., Ungi T., Lasso A., Asselin M., Holden M., Tan P., et al. (2019).  Analyzing the curvature of the colon in different patient positions. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951, PDF icon Laframboise2019a.pdf (400.26 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)
Barr, K., Laframboise J., Ungi T., Hookey L., & Fichtinger G. (2020).  Automated segmentation of computed tomography colonography images using a 3D U-Net. SPIE Medical Imaging.
Wu, V., Ungi T., Sunderland K. R., 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)
Connolly, L., Jamzad A., Kaufmann M., Rubino R., Sedghi A., Ungi T., et al. (2020).  Classification of tumor signatures from electrosurgical vapors using mass spectrometry and machine learning: a feasibility study. Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions and Modeling. 11315, PDF icon Connolly2020a.pdf (823.25 KB)
Yan, C., Tabanfar R., Kempston M., Borschneck D. P., Ungi T., & Fichtinger G. (2016).  Comparison of portable and conventional ultrasound imaging in spinal curvature measurement. SPIE Medical Imaging. PDF icon Yan2016a.pdf (410.12 KB)
Lund, S., Vaughan T., Ungi T., Lasso A., Asselin M., Yeo C., et al. (2019).  Controlling virtual views in navigated breast conserving surgery. SPIE Medical Imaging 2019.
Anand, M., King F., Ungi T., Lasso A., Rudan J., Jayender J., et al. (2014).  Design and Development of a Mobile Image Overlay System for Image-Guided Needle Interventions. 36th Annual International Conference of IEEE EMBS. PDF icon Anand2014b.pdf (856.77 KB)
Wu, C. O., Diao B., Ungi T., Sedghi A., Kikinis R., Mousavi P., et al. (2021).  Development of an open-source system for prostate biopsy training in Senegal. SPIE Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling. 11598, PDF icon CWu2021a.pdf (455.85 KB)PDF icon CWu2021a-poster.pdf (708.05 KB)
Lougheed, M., Fichtinger G., & Ungi T. (2015).  Evaluation metrics for bone segmentation in ultrasound. SPIE Medical Imaging 2015. 9415,
Herniczek, S. Kotwicz, Lasso A., Ungi T., & Fichtinger G. (2014).  Feasibility of a touch-free user interface for ultrasound snapshot-guided nephrostomy. SPIE Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling. 9036, 90362F.PDF icon Kotwicz2014.pdf (330.8 KB)
O'Driscoll, O., Hisey R., Holden M., Camire D., Erb J., Howes D., et al. (2022).  Feasibility of object detection for skill assessment in central venous catheterization. SPIE Medical Imaging. PDF icon ODriscoll2022a.pdf (629.59 KB)

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