Publications

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In Press
Marker, D. R., U-Thainual P., Ungi T., Flammang A. J., Fichtinger G., Iordachita I., et al. (In Press).  1.5 Tesla augmented reality navigated interventional magnetic resonance imaging: paravertebral sympathetic plexus injections. Diagnostic and Interventional Radiology.
Yeo, C. T., MacDonald A., Ungi T., Lasso A., Jalink D., Fichtinger G., et al. (In Press).  3D Segmentation as a Surgical Planning Tool for Residents in Liver Resection Surgery. 2017 International Conference on Residency Education (ICRE).
Holden, M. S., Xia S., Lia H., Keri Z., Bell C., Patterson L., et al. (In Press).  Machine learning methods for automated technical skills assessment with instructional feedback in ultrasound-guided interventions. International Journal of Computer Assisted Radiology and Surgery. PDF icon Holden2019a-manuscript.pdf (640.01 KB)
Janssen, N., Kaufmann M., Santilli A., Jamzad A., Kaitlin V., Ren K., et al. (In Press).  Navigated tissue characterization during skin cancer surgery. Int J Comput Assist Radiol Surg.
2022
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)
O'Driscoll, O., Hisey R., Holden M., Camire D., Erb J., Howes D., et al. (2022).  Feasibility of using object detection for performance assessment in central venous catherization. Imaging Network of Ontario Symposium. PDF icon ODriscoll2022b.pdf (183 KB)
Klosa, E., Hisey R., Nazari T., Wiggers T., Zevin B., Ungi T., et al. (2022).  Identifying tissues for task recognition in training of open inguinal hernia repairs. Imaging Network of Ontario Symposium. PDF icon Klosa2022b.pdf (116.1 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. PDF icon Klosa2022a.pdf (385.41 KB)
2021
Hisey, R., Camire D., Erb J., Howes D., Fichtinger G., & Ungi T. (2021).  Central Line Tutor: using computer vision workflow recognition in a central venous catheterization training system. Imaging Network of Ontario Symposium. PDF icon RHisey_ImNO2021.pdf (190.87 KB)
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. PDF icon ODriscoll2021a.pdf (322.11 KB)
Connolly, L., Degeut A., Sunderland K., 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.
Connolly, L., Sunderland K., Lasso A., Deguet A., Ungi T., Rudan J., et al. (2021).  A platform for robot-assisted Intraoperative imaging in breast conserving surgery. Imaging Network of Ontario Symposium . PDF icon Connolly2021a.pdf (773.23 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.
Poole, M., Ungi T., Fichtinger G., & Zevin B. (2021).  Training in soft tissue resection using real-time visual computer navigation feedback from the Surgery Tutor: A randomized controlled trial. Surgery.
Barr, C., Hisey R., Ungi T., & Fichtinger G. (2021).  Ultrasound Probe Pose Classification for Task Recognition in Central Venous Catheterization. Imaging Network of Ontario Symposium. PDF icon CBarr2021a.pdf (391.8 KB)
Barr, C., Hisey R., Ungi T., & Fichtinger G. (2021).  Ultrasound Probe Pose Classification for Task Recognition in Central Venous Catheterization. 43rd Conference of the IEEE Engineering Medicine and Biology Society.
2020
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., 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)
Ungi, T., Greer H., Sunderland K. R., Wu V., Baum Z. M. C., Schlenger C., et al. (2020).  Automatic spine ultrasound segmentation for scoliosis visualization and measurement. IEEE Transactions on Biomedical Engineering. 67, 3234 - 3241.PDF icon Ungi2020.pdf (676.48 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)
Wiercigroch, J., Hashtrudi-Zaad K., Ungi T., Bisleri G., & Fichtinger G. (2020).  Force and torque feedback in endoscopic vessel harvesting. Medical Imaging 2020: Image-Guided Procedures, Robotic Inverventions and Modeling. 11315, PDF icon Wiercigroch2020a.pdf (401.53 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)
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)

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