Publications

Export 615 results:
Submitted
O'Driscoll, O., Hisey R., Holden M., Camire D., Erb J., Howes D., et al. (Submitted).  Feasibility of using object detection for performance assessment in central venous catherization. Imaging Network of Ontario Symposium. PDF icon ODriscoll2022b.pdf (183 KB)
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).
Brastianos, H., Vaughan T., Lasso A., Westerland M., Gooding J., Fichtinger G., et al. (In Press).  Electromagnetic Reconstruction of Catheter Paths in Mult-Catheter Interstitial Brachytherapy: A Phantom Model.. Canadian Association of Radiation Oncology (CARO) Annual Scientific Meeting.
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)
2021
[Anonymous] (2021).  Automated Contouring of Breast Tumors using Machine Learning. ImNO.
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)
Connolly, L., Jamzad A., Kaufmann M., Farquharson C. E., Ren K., Rudan J. F., et al. (2021).  Combined Mass Spectrometry and Histopathology Imaging for Perioperative Tissue Assessment in Cancer Surgery. Journal of Imaging. 7,
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)
Fauerbach, P. V. Nasute, Tyryshkin K., Rodrigo S. Perez, Rudan J., Fichtinger G., Reedijk M., et al. (2021).  Lack of definitive presurgical pathological diagnosis is associated with inadequate surgical margins in breast-conserving surgery. European Journal of Surgical Oncology.
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.
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 H. H., 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., 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)

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