Publications

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2021
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.
2020
Choi, P. S., Nam HH., Lasso A., Herz C., Drouin S., Harrild D. M., et al. (2020).  3D Modeling of Surgically Implanted Stent-Based Valves in the Mitral Position in Children. The Annals of Thoracic Surgery.
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. R., 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)
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)
Pinter, C., Lasso A., Choueib S., Asselin M., Fillion-Robin J-CC., Vimort J-B., et al. (2020).  SlicerVR for Medical Intervention Training and Planning in Immersive Virtual Reality. IEEE Transactions on Medical Robotics and Bionics. 2, 108-117.PDF icon Pinter2020.pdf (521.6 KB)
Barr, C., Lasso A., Asselin M., Pieper S., Robertson F. C., Gormley W. B., et al. (2020).  Towards portable image guidance and automatic patient registration using an RGB-D camera and video projector. Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions and Modeling. 11315, PDF icon Barr2020.pdf (487.62 KB)
Pinter, C., Olding T., L. Schreiner J., & Fichtinger G. (2020).  Using Fuzzy Logics to Determine Optimal Oversampling Factor for Voxelizing 3D Surfaces in Radiation Therapy. Soft Computing. PDF icon Pinter2020a.pdf (713.06 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)
2019
Laframboise, J., Ungi T., Lasso A., Asselin M., Holden M., Tan P., et al. (2019).  Analyzing the curvature of the colon in different patient positions. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951, PDF icon Laframboise2019a.pdf (400.26 KB)
Choueib, S., Pinter C., Lasso A., Fillion-Robin J-CC., Vimort J-B., Martin K., et al. (2019).  Assessment of immersive medical virtual reality visualization using 3D Slicer. 17th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Choueib2019b.pdf (314.46 KB)
Baum, Z. M. C., Ryan S., Rae E., Lasso A., Ungi T., Levy R., et al. (2019).  Assessment of intraoperative neurosurgical planning with the Microsoft HoloLens. 17th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Baum2019b.pdf (162.89 KB)

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