Publications

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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)
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)
Tabanfar, R., Yan C., Kempston M., Borschneck D. P., Ungi T., & Fichtinger G. (2016).  Clinical feasibility of pediatric scoliosis monitoring using portable ultrasound. Imaging Network Ontario (IMNO). PDF icon Tabanfar2016b.pdf (82.18 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)
Holden, M., 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)
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)
Vaughan, T., Brastianos H., Lasso A., Westerland M., Ungi T., Falkson C., et al. (2016).  Catheter targeting under electromagnetic guidance in breast brachytherapy – a demonstration of concept. 30th International Congress & Exhibition on Computer Assisted Radiology and Surgery (CARS). Int J CARS(11), S60-62.
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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)
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)
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.
Kitner, N., Rodgers J. R., Ungi T., Korzeniowski M., Olding T., Joshi C.P., et al. (2022).  Automated Catheter Segmentation in 3D Ultrasound Images from High-Dose-Rate Prostate Brachytherapy. Imaging Network Ontario (IMNO) 2022 Symposium .
Kitner, N., Rodgers J. R., Ungi T., Olding T., Joshi C.P., 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.P., 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.
Fritz, J., U-Thainual P., Ungi T., Flammang A. J., Fichtinger G., Iordachita I., et al. (2012).  Augmented Reality Visualization with Use of Image Overlay Technology for MR Imaging–guided Interventions: Assessment of Performance in Cadaveric Shoulder and Hip Arthrography at 1.5 T. Radiology. 265, 254-259.PDF icon 254.full__0.pdf (1014.02 KB)
Fritz, J., U-Thainual P., Ungi T., Flammang A. J., Fichtinger G., Iordachita I., et al. (2012).  Augmented Reality Visualization Using Image-Overlay for MR-guided Interventions: Performance Assessment of Paravertebral Sympathetic Perineural Injections in Cadavers at 1.5 Tesla. CARS 2012 Computer Assisted Radiology and Surgery. S509-S511.PDF icon 227A_Abstract_Fritz.pdf (78.1 KB)
Fritz, J., U-Thainual P., Ungi T., Flammang A. J., Cho N. Bongjoon, Fichtinger G., et al. (2012).  Augmented Reality Visualization Using Image-Overlay for MR-Guided Interventions: Accuracy for Lumbar Spinal Procedures with a 1.5-Tesla MRI scanner.. American Journal of Roentgenology. 198, W266-73.PDF icon W266.full_.pdf (1.03 MB)
Fritz, J., U-Thainual P., Ungi T., Flammang A. J., Cho N. Bongjoon, Fichtinger G., et al. (2011).  Augmented reality visualization using image-overlay for MR-guided interventions: assessment of accuracy for lumbar spinal procedures with a 1.5-Tesla MRI scanner. CIRSE 2011.
Fritz, J., U-Thainual P., Ungi T., Flammang A. J., Cho N. Bongjoon, Fichtinger G., et al. (2011).  Augmented Reality Visualization Using Image-overlay for MR-guided Interventions: Assessment of Performance in Cadaveric Shoulder and Hip Arthrography. RSNA 97th Scientific Assembly and Annual Meeting. PDF icon 254.full_.pdf (1014.02 KB)
Fritz, J., U-Thainual P., Ungi T., Flammang A. J., McCarthy EF., Fichtinger G., et al. (2013).  Augmented Reality Visualization Using Image Overlay Technology for MR-Guided Interventions: Cadaveric Bone Biopsy at 1.5 T. Investigative Radiology. 48, PDF icon Fritz2013b.pdf (1.15 MB)
Fritz, J., U-Thainual P., Ungi T., Flammang A. J., Fichtinger G., Iordachita I., et al. (2013).  Augmented reality visualisation using an image overlay system for MR-guided interventions: technical performance of spine injection procedures in human cadavers at 1.5 Tesla. European Radiology. 23, 235-245.PDF icon 2012 - ER - Overlay spine injection cadavers.pdf (923.03 KB)
Ungi, T., U-Thainual P., Lasso A., Yeo C. T., McGraw R. C., & Fichtinger G. (2011).  Augmented reality training to improve needle-based percutaneous interventions. ImNO2011 - Imaging Network Ontario Symposium. PDF icon Ungi2011a.pdf (400.3 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)
Ungi, T., Yeo C. T., U-Thainual P., McGraw R. C., & Fichtinger G. (2011).  Augmented Reality Needle Guidance Improves Facet Joint Injection Training. SPIE Medical Imaging. 7964, 79642E 1-7.PDF icon Ungi2011b.pdf (195.32 KB)

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