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Moult, E., Ungi T., Pinter C., Welch M., Lasso A., & Fichtinger G. (2013). Temporal calibration of tracked ultrasound. ImNO2013 - Imaging Network Ontario Symposium.

Moult2013b.pdf (100.25 KB)

Moult2013b-poster.pdf (202.31 KB)

S

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).

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.

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.

ODriscoll2021b.pdf (151.14 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)

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)

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)

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.

Ungi2012b.pdf (710.47 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.

Ungi_2014a-manuscript.pdf (1.61 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.

Ungi2013a.pdf (574.62 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)

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.

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).

Church2017b.pdf (165.6 KB)

Church2017b-poster.pdf (872.64 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)

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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).

Isen2019a.pdf (3.12 MB)

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)

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.

RHisey_ImNO2020.pdf (399.33 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.

Holden2017c.pdf (60.83 KB)

Holden2017c-poster.pdf (681.31 KB)

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.

RHisey_CARS_2020.pdf (152.24 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.

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.

Holden2013a-Abstract.pdf (288.68 KB)

Holden2013a-Poster.pdf (474.54 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)

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)

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).

Pinter2018a.pdf (125.23 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.

Baum2017c.pdf (172.76 KB)

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