Publications

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2020
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)
Laframboise, J., Ungi T., Sunderland K. R., Zevin B., & Fichtinger G. (2020).  Open source platform for automated collection of training data to support video-based feedback in surgical simulators. SPIE Medical Imaging.
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)
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)
Wu, C. O., Sunderland K. R., Filippov M., Sainsbury B., Fichtinger G., & Ungi T. (2020).  Workflow for creation and evaluation of virtual nephrolithotomy training models. SPIE Medical Imaging Conference 2020. 11315, PDF icon CWu2020a-manuscript.pdf (401.02 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)
Fichtinger, G., Mousavi P., Ungi T., Fenster A., Abolmaesumi P., Kronreif G., et al. (2021).  Design of an Ultrasound-Navigated Prostate Cancer Biopsy System for Nationwide Implementation in Senegal. Journal of Imaging. 7, 154.
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)
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. 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.
Connolly, L., Sunderland K. R., Lasso A., Degeut 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.
2022
Kitner, N., Rodgers J. R., Ungi T., Korzeniowski M., Olding T., Joshi C.P., et al. (2022).  Automated Automatic catheter modelling in 3D transrectal ultrasound images from high-dose-rate prostate brachytherapy using a deep learning and feature extraction pipeline. Canadian Organization of Medical Physicists (COMP) Annual Scientific Meeting.
Kitner, N., Rodgers J. R., Ungi T., Olding T., Joshi C.P., Mousavi P., et al. (2022).  Automated catheter localization in ultrasound images from High-dose-rate prostate brachytherapy using deep learning and feature extraction. Canadian Association for Radiation Oncologists (CARO) Annual Scientific Meeting.
Kitner, N., Rodgers J. R., Ungi T., Korzeniowski M., Olding T., Joshi C.P., et al. (2022).  Automated Catheter Segmentation in 3D Ultrasound Images from High-Dose-Rate Prostate Brachytherapy. Imaging Network Ontario (IMNO) 2022 Symposium .
Connolly, L., Degeut A., Leonard S., Tokuda J., Ungi T., Krieger A., et al. (2022).  Bridging 3D Slicer and ROS2 for Image-Guided Robotic Interventions. Sensors. 22,
Lee, H.Y. (2022).  Evaluating Faster R-CNN for cataract surgery tool detection using microscopy video. (Hisey, R., Ed.).Imaging Network of Ontario Symposium.
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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