Publications

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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. 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)
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)
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)
Baum, Z. M. C., Lasso A., Ryan S., Ungi T., Rae E., Zevin B., et al. (2019).  Augmented reality training platform for neurosurgical burr hole localization. Journal of Medical Robotics Research. 4, 1942001-1 - 1942001-13.PDF icon Baum2020a.pdf (646.88 KB)
Hisey, R., Ungi T., Camire D., Erb J., Howes D., & Fichtinger G. (2019).  Comparison of convolutional neural networks for central venous catheterization tool detection. Imaging Network of Ontario Symposium. PDF icon RHisey_ImNO2019.pdf (464.16 KB)
Lund, S., Vaughan T., Ungi T., Lasso A., Asselin M., Yeo C., et al. (2019).  Controlling virtual views in navigated breast conserving surgery. SPIE Medical Imaging 2019.
Wu, V., Asselin M., Ungi T., & Fichtinger G. (2019).  Detection of Spinal Ultrasound Landmarks Using Convolutional Neural Networks. 33rd International Congress & Exhibition on Computer Assisted Radiology and Surgery (CARS). 14, PDF icon Wu2019b.pdf (213.21 KB)
Lasso, A., Pinter C., Choueib S., Ungi T., & Fichtinger G. (2019).  Enhance medical software applications with immersive virtual reality experience. Techna Symposium. PDF icon Lasso2019.pdf (1.05 MB)
Connolly, L., Ungi T., Lasso A., Vaughan T., Asselin M., Mousavi P., et al. (2019).  Mechanically-Controlled Spectroscopic Imaging for Tissue Classification. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951, PDF icon Connolly2019a.pdf (877.7 KB)
House, R., Kunz M., Valiquette C., Lasso A., Ungi T., Rudan J., et al. (2019).  Monitoring volume changes for breast reconstruction surgery using three dimensional optical surface scanning. Canadian Society of Plastic Surgeons (CSPS) Annual Meeting. PDF icon House2019a-manuscript.pdf (372.2 KB)
Asselin, M., Kaufmann M., Wiercigroch J., Ungi T., Lasso A., Rudan J., et al. (2019).  Navigated real-time molecular analysis in the operating theatre, demonstration of concept. SPIE Medical Imaging 2019.
Vaughan, T., Brastianos H., Ungi T., Lasso A., Falkson C., & Fichtinger G. (2019).  Needle Navigation and Catheter Reconstruction for Breast Brachytherapy Using Open Source Software. Acta Polytechnica Hungarica. 16, 99-118.PDF icon Vaughan2019a.pdf (3.42 MB)
Laframboise, J., Ungi T., Lasso A., Asselin M., Holden M., Tan P., et al. (2019).  Quantifying the effect of patient position on the curvature of colons. 17th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Laframboise2019b.pdf (198.44 KB)
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, PDF icon Perrin2019a.pdf (686.56 KB)

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