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Cumming, I., Joshi C., Lasso A., Rankin A., Falkson C., Schreiner J., et al. (2014).  3D Printed Patient-Specific Surface Mould Applicators for Brachytherapy Treatment of Superficial Lesions. American Association Physicists in Medicine (AAPM). 41 (abstract in Medical Physics)(6), PDF icon Cumming2014.pdf (148.57 KB)
Schumacher, M., Lasso A., Cumming I., Rankin A., Falkson C. B., Schreiner J., et al. (2015).  3D-printed surface mould applicator for high-dose-rate brachytherapy. SPIE Medical Imaging 2015. 9415, PDF icon Schumacher2015-manuscript.pdf (739.76 KB)PDF icon Schumacher2015-poster.pdf (1.7 MB)
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Rivaz, H., Fleming I., Assumpcao L., Fichtinger G., Hamper U., Choti M., et al. (2008).  Ablation monitoring with elastography: 2D in-vivo and 3D ex-vivo studies. Medical image computing and computer-assisted intervention (MICCAI). 11, 458–466.PDF icon Rivaz2008b_0.pdf (7.26 MB)
Heffernan, E., Ungi T., Vaughan T., Pezeshki P., Lasso A., Gauvin G., et al. (2016).  Accuracy of lesion boundary tracking in navigated breast tumor excision. SPIE Medical Imaging 2016. 9786, 97860Y-1-6.PDF icon Heffernan2016-manuscript.pdf (303.45 KB)
Rae, E., Lasso A., Holden M. S., Morin E., Levy R., & Fichtinger G. (2018).  Accuracy of the Microsoft HoloLens for neurosurgical burr hole placement. 16th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Rae2018b.pdf (180.54 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., 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)
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)
Weiss, C., R.Marker D., Fischer G., Fichtinger G., Machado A. J., & Carrino J. A. (2011).  Augmented Reality Visualization for MR-guided Interventions using "Image Overlay": System Description, Feasibility, and Initial Evaluation in a spine phantom. American Journal of Roentgenology. 196, W305 - W307.PDF icon W305.full_.pdf (699.73 KB)
Kitner, N., Rodgers J. R., Ungi T., Korzeniowski M., Olding T., Joshi C., et al. (2022).  Automated Automatic catheter modelling in 3D transrectal ultrasound images from high-dose-rate prostate brachytherapy using a deep learning and feature extraction pipeline. Canadian Organization of Medical Physicists (COMP) Annual Scientific Meeting.
Ogilvie, C., Martin C., Law T., Vandersleen P., Pinter C., Rankin A., et al. (2013).  Automated Brachytherapy Calibration: System and Phantom Design. ImNO2013 - Imaging Network Ontario Symposium. PDF icon Ogilvie2013.pdf (91.51 KB)PDF icon Ogilvie2013-poster.pdf (399.14 KB)
Kitner, N., Rodgers J. R., Ungi T., Olding T., Joshi C., Mousavi P., et al. (2022).  Automated catheter localization in ultrasound images from High-dose-rate prostate brachytherapy using deep learning and feature extraction. Canadian Association for Radiation Oncologists (CARO) Annual Scientific Meeting.
Kitner, N., Rodgers J. R., Ungi T., Korzeniowski M., Olding T., Joshi C., et al. (2022).  Automated Catheter Segmentation in 3D Ultrasound Images from High-Dose-Rate Prostate Brachytherapy. Imaging Network Ontario (IMNO) 2022 Symposium .
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Rivaz, H., Zellars R., Hager G. D., Fichtinger G., & Boctor E. (2007).  Beam Steering Approach for Speckle Characterization and Out-of-Plane Motion Estimation in Real Tissue. Procedings IEEE Ultrasonics Symposium. 781–784.PDF icon Rivaz2007.pdf (902.82 KB)
House, R., Lasso A., Kunz M., Rudan J., Martou G., & Fichtinger G. (2018).  Breast volume computation for planning and monitoring fat grafting. Imaging Network Ontario (IMNO). PDF icon House2018b.pdf (140.11 KB)
House, R., Lasso A., Kunz M., Rudan J., Martou G., & Fichtinger G. (2018).  Breast volume measurement using three-dimensional surface scan for fat grafting planning and monitoring. CARS. PDF icon House2018a.pdf (636.52 KB)
Gauvin, G., Ungi T., Lasso A., Yeo C. T., Fichtinger G., Jabs D., et al. (2016).  Breast-Conserving Surgery using NaviKnife Technology: Pilot Study on Non-Palpable Tumors. Canadian Surgery Forum 2016. PDF icon Gauvin2016a.pdf (66.46 KB)
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Holden, M. S., Woodcroft M., Chaplin T., Rang L., Jaeger M., Rocca N., et al. (2016).  Central Venous Catheterization Curriculum Development via Objective Performance Metrics. 14th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Holden2016a-Abstract.pdf (206.23 KB)File Holden2016a-Poster.pptx (1.28 MB)
Holden, M. S., Woodcroft M., Chaplin T., Rang L., Jaeger M., Rocca N., et al. (2016).  Central Venous Catheterization Curriculum Development via Objective Performance Metrics. 14th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Holden2016a-Abstract.pdf (206.23 KB)File Holden2016a-Poster.pptx (1.28 MB)
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)
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)
Ungi, T., Gauvin G., Lasso A., Yeo C. T., Rudan J., C. Engel J., et al. (2015).  Clinical Translation of Real Time Cautery Navigation for Breast Surgery. The Hamlyn Symposium on Medical Robotics. 19-20.PDF icon Ungi2015c.pdf (364.42 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,
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,

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