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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. 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. PDF icon RHisey_SPIE2018_Full_02.pdf (749.23 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)
Gauvin, G., Yeo C. T., Ungi T., Merchant S., Lasso A., Jabs D., et al. (2020).  Real‐time electromagnetic navigation for breast‐conserving surgery using NaviKnife technology: A matched case‐control study. The Breast Journal. 26, 399-405.
Hisey, R., Chen B., Camire D., Erb J., Howes D., Fichtinger G., et al. (2020).  Recognizing workflow tasks in central venous catheterization using convolutional neural networks and reinforcement learning. International Conference on Computer Assisted Radiology and Surgery. 94-95.PDF icon RHisey_CARS_2020.pdf (152.24 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)
Hisey, R., Chen B., Ungi T., Camire D., Erb J., Howes D., et al. (2020).  Reinforcement learning approach for video-based task recognition in central venous catheterization. Imaging Network of Ontario Symposium. PDF icon RHisey_ImNO2020.pdf (399.33 KB)
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)
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)
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Gauvin, G., Ungi T., Lasso A., Walker R., Rudan J., Fichtinger G., et al. (2016).  Safety and Feasibility Study for Real-Time Electromagnetic Navigation in Breast-Conserving Surgery. Computer Assisted Radiology and Surgery, 30th International Congress. 11(Suppl. 1), S106-7.PDF icon Gauvin2016a.pdf (492.77 KB)
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)
Holden, M. S., Zhao Y., Haegelen C., Essert C., Fernanez-Vidal S., Bardinet E., et al. (2018).  Self-guided training for deep brain stimulation planning using objective assessment. International Journal of Computer Assisted Radiology and Surgery. 13, 1129-1139.
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)
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)
Ungi, T., King F., Kempston M., Keri Z., Lasso A., Mousavi P., et al. (2014).  Spinal curvature measurement by tracked ultrasound snapshots. Ultrasound in Medicine and Biology. 40(2), 447-54.PDF icon Ungi_2014a-manuscript.pdf (1.61 MB)
Ungi, T., Abolmaesumi P., Jalal R., Welch M., Ayukawa I., Nagpal S., et al. (2012).  Spinal Needle Navigation by Tracked Ultrasound Snapshots. IEEE Trans Biomed Eng. 59, 2766-2772.PDF icon Ungi2012b.pdf (710.47 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)
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)
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)
O'Driscoll, O., Hisey R., Camire D., Erb J., Howes D., Fichtinger G., et al. (2021).  Surgical tool tracking with object detection for performance assessment in central venous catheterization. Imaging Network of Ontario Symposium. PDF icon ODriscoll2021b.pdf (151.14 KB)
Hisey, R., Camire D., Erb J., Howes D., Fichtinger G., & Ungi T. (2021).  System for central venous catheterization training using computer vision-based workflow feedback. IEEE Transactions on Biomedical Engineering.
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).

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