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., 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.
Hu, Z., Fauerbach P. V. Nasute, Yeung C., Ungi T., Rudan J., C. Engel J., et al. (In Press).  Real-time automatic tumor segmentation for ultrasound-guided breast-conserving surgery navigation. International Journal of Computer Assisted Radiology and Surgery.
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)
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)
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. PDF icon Connolly2022b.pdf (838.81 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)
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)

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