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.

• Google Scholar
• BibTeX

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.

• DOI
• Google Scholar
• BibTeX

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.

• Google Scholar
• BibTeX

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.

• Google Scholar
• BibTeX

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.

• DOI
• Google Scholar
• BibTeX

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.

• DOI
• Google Scholar
• BibTeX

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.

• DOI
• Google Scholar
• BibTeX

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.

• DOI
• Google Scholar
• BibTeX

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,

• DOI
• Google Scholar
• BibTeX

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,

• DOI
• Google Scholar
• BibTeX

Wiercigroch2020a.pdf (401.53 KB)

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.

• DOI
• Google Scholar
• BibTeX

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.

• Google Scholar
• BibTeX

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.

• Google Scholar
• BibTeX

RHisey_ImNO2020.pdf (399.33 KB)

Pinter, C., Lasso A., Choueib S., Asselin M., Fillion-Robin J-C., 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.

• DOI
• Google Scholar
• BibTeX

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,

• DOI
• Google Scholar
• BibTeX

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.

• DOI
• Google Scholar
• BibTeX

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.

• Google Scholar
• BibTeX

Wu2020b.pdf (133.02 KB)

Choueib, S., Pinter C., Lasso A., Fillion-Robin J-C., 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).

• Google Scholar
• BibTeX

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).

• Google Scholar
• BibTeX

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.

• DOI
• Google Scholar
• BibTeX

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.

• Google Scholar
• BibTeX

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.

• Google Scholar
• BibTeX

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,

• DOI
• Google Scholar
• BibTeX

Wu2019b.pdf (213.21 KB)

Nguyen, A. V., Lasso A., Nam H. H., Faerber J., Aly A. H., Pouch A. M., et al. (2019).  Dynamic Three-Dimensional Geometry of the Tricuspid Valve Annulus in Hypoplastic Left Heart Syndrome with a Fontan Circulation. Journal of the American Society of Echocardiography.

• DOI
• Google Scholar
• BibTeX

Lasso, A., Pinter C., Choueib S., Ungi T., & Fichtinger G. (2019).  Enhance medical software applications with immersive virtual reality experience. Techna Symposium.

• Google Scholar
• BibTeX

Lasso2019.pdf (1.05 MB)