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.

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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).

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Ungi, T., Greer H., Sunderland K. R., Wu V., Baum Z. M. C., Schlenger C., et al. (In Press).  Automatic spine ultrasound segmentation for scoliosis visualization and measurement. IEEE Transactions on Biomedical Engineering.

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Ungi2020.pdf (676.48 KB)

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.

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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.

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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.

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Gauvin, G., Yeo C. T., Ungi T., Merchant S., Lasso A., Jabs D., et al. (In Press).  Real‐time electromagnetic navigation for breast‐conserving surgery using NaviKnife technology: A matched case‐control study. The Breast Journal.

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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.

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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.

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Wu2020a.pdf (292.4 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,

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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,

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Wiercigroch2020a.pdf (401.53 KB)

Laframboise, J., Ungi T., Sunderland K., 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.

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Fedorov, A., Beichel R., Kalpathy-Cramer J., Clunie D., Onken M., Riesmeier J., et al. (2020).  Quantitative Imaging Informatics for Cancer Research. JCO Clinical Cancer Informatics. 4, 444-453..

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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.

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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,

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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.

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Pinter2020a.pdf (713.06 KB)

Wu, V., Ungi T., Sunderland K., 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.

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Wu2020b.pdf (133.02 KB)

Wu, C. O., Sunderland K., 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,

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CWu2020a-manuscript.pdf (401.02 KB)

Laframboise, J., Ungi T., Lasso A., Asselin M., Holden M. S., 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,

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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).

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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).

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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.

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Baum2020a.pdf (646.88 KB)

Baum, Z. M. C. (2019).  AUGMENTED REALITY TRAINING PLATFORM FOR PLACEMENT OF NEUROSURGICAL BURR HOLES. School of Computing. Masters,

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Baum2019c.pdf (2.56 MB)

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.

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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,

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Wu2019b.pdf (213.21 KB)