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Conference Paper

Kamali, S., Ungi T., Lasso A., Yan C., Lougheed M., & Fichtinger G. (2017). Localization of the transverse processes in ultrasound for spinal curvature measurement. SPIE Medical Imaging. 10135, 101350I-101350I-7.

Kamali2017a.pdf (1.1 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)

Connolly, L., Ungi T., Lasso A., Vaughan T., Asselin M., Mousavi P., et al. (2019). Mechanically-Controlled Spectroscopic Imaging for Tissue Classification. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951,

Connolly2019a.pdf (877.7 KB)

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)

Asselin, M., Kaufmann M., Wiercigroch J., Ungi T., Lasso A., Rudan J., et al. (2019). Navigated real-time molecular analysis in the operating theatre, demonstration of concept. SPIE Medical Imaging 2019.

O'Driscoll, O., Hisey R., Camire D., Erb J., Howes D., Fichtinger G., et al. (2021). Object detection to compute performance metrics for skill assessment in central venous catheterization. SPIE Medical Imaging.

ODriscoll2021a.pdf (322.11 KB)

Connolly, L., Degeut A., Sunderland K. R., Lasso A., Ungi T., Rudan J., et al. (2021). An open-source platform for cooperative semi-autonomous robotic surgery. IEEE International Conference on Autonomous Systems.

Bartha, L., Lasso A., Pinter C., Ungi T., & Fichtinger G. (2013). Open-Source Surface Mesh-Based Ultrasound Simulator. CARS 2013. 8, 156.

Bartha2013c.pdf (107.52 KB)

Connolly, L., Jamzad A., Nikniazi A., Poushimin R., Lasso A., Sunderland K. R., et al. (2022). An open-source testbed for developing image-guided robotic tumor-bed inspection. Imaging Network of Ontario (ImNO) Symposium.

Connolly2022b.pdf (838.81 KB)

Ungi, T., Lasso A., & Fichtinger G. (2012). Open-source training platform for ultrasound-guided needle insertions. Medical Image Computing and Computer-Assisted Intervention (MICCAI 2012) - Systems and Architectures for Computer Assisted Interventions.

Ungi2012d.pdf (47.57 KB)

Holden, M. S., Keri Z., Ungi T., & Fichtinger G. (2017). Overall Proficiency Assessment in Point-of-Care Ultrasound Interventions: The Stopwatch is not Enough. Point-of-Care Ultrasound Workshop. LNCS 10549, 146-153.

Holden2017b.pdf (491.19 KB)

Holden2017b-Slides.pptx (5.4 MB)

Carbajal, G., Gómez Á., Fichtinger G., & Ungi T. (2015). Portable Optically Tracked Ultrasound System for Scoliosis Measurement. Recent Advances in Computational Methods and Clinical Applications for Spine Imaging (MICCAI 2014). 20, 37-46.

Carbajal2015.pdf (209.38 KB)

Ungi, T., Gauvin G., Yeo C. T., C. Engel J., Rudan J., & Fichtinger G. (2015). Real Time Navigation In Breast Tumor Surgery. Computer Assisted Radiology and Surgery, 29th International Congress. 10(Suppl 1), S59-60.

Ungi2015a.pdf (123.39 KB)

Gauvin, G., Yeo C. T., Ungi T., Fichtinger G., Rudan J., & C. Engel J. (2014). Real-time electromagnetic navigation for breast tumor resection: proof of concept. The Hamlyn Symposium on Medical Robotics. 39-40.

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)

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)

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)

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)

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.

Gauvin2016a.pdf (492.77 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)

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)

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.

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.

Holden2012a.pdf (173.03 KB)

Klosa, E., Hisey R., Nazari T., Wiggers T., Zevin B., Ungi T., et al. (2022). Tissue segmentation for workflow recognition in open inguinal hernia repair training. SPIE Medical Imaging.

Klosa2022a.pdf (385.41 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.

Asselin2018a.pdf (429.19 KB)

Pages