Publications

Export 150 results:
Filters: Author is Tamas Ungi  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
S
Baum, Z. M. C., Church B., Lasso A., Ungi T., Schlenger C., Borschneck D. P., et al. (2019).  Step-wise identification of ultrasound-visible anatomical landmarks for 3D visualization of scoliotic spine. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951, PDF icon Baum2019a.pdf (496 KB)
Ungi, T., Abolmaesumi P., Jalal R., Welch M., Ayukawa I., Nagpal S., et al. (2012).  Spinal Needle Navigation by Tracked Ultrasound Snapshots. IEEE Trans Biomed Eng. 59, 2766-2772.PDF icon Ungi2012b.pdf (710.47 KB)
Ungi, T., King F., Kempston M., Keri Z., Lasso A., Mousavi P., et al. (2014).  Spinal curvature measurement by tracked ultrasound snapshots. Ultrasound in Medicine and Biology. 40(2), 447-54.PDF icon Ungi_2014a-manuscript.pdf (1.61 MB)
Ungi, T., Lasso A., Pinter C., Rankin A., & Fichtinger G. (2013).  SlicerIGT: Open-source platform for image-guided needle interventions. ImNO2013 - Imaging Network Ontario Symposium. PDF icon Ungi2013a.pdf (574.62 KB)
Underwood, G., Ungi T., Baum Z. M. C., Lasso A., Kronreif G., & Fichtinger G. (2017).  Skull registration for prone patient position using tracked ultrasound. SPIE Medical Imaging 2017. PDF icon Underwood2017.pdf (1.5 MB)
Holden, M. S., Zhao Y., Haegelen C., Essert C., Fernanez-Vidal S., Bardinet E., et al. (2018).  Self-guided training for deep brain stimulation planning using objective assessment. International Journal of Computer Assisted Radiology and Surgery. 13, 1129-1139.
Church, B. (2017).  Scoliosis visualization using transverse process landmarks. (Lasso, A., Schlenger C., Borschneck D. P., Mousavi P., Fichtinger G., & Ungi T., Ed.).15th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Church2017b.pdf (165.6 KB)PDF icon Church2017b-poster.pdf (872.64 KB)
Gauvin, G., Ungi T., Lasso A., Walker R., Rudan J., Fichtinger G., et al. (2016).  Safety and Feasibility Study for Real-Time Electromagnetic Navigation in Breast-Conserving Surgery. Computer Assisted Radiology and Surgery, 30th International Congress. 11(Suppl. 1), S106-7.PDF icon Gauvin2016a.pdf (492.77 KB)
R
Isen, J., Hisey R., Ungi T., & Fichtinger G. (2019).  Retraining MobileNet with highly variable data for tool detection in central venous catheterization. 17th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Isen2019a.pdf (3.12 MB)
Perrin, S., Baum Z. M. C., Asselin M., Underwood G., Choueib S., Lia H., et al. (2019).  Reproducibility of freehand calibrations for ultrasound-guided needle navigation. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951, PDF icon Perrin2019a.pdf (686.56 KB)
Holden, M. S., Keri Z., Ungi T., Yeo C., Ring J., Fichtinger G., et al. (2017).  Reducing Cost and Complexity in Computer-Assisted Training for Lumpectomy. William Ersil Resident Research Day. PDF icon Holden2017c.pdf (60.83 KB)PDF icon Holden2017c-poster.pdf (681.31 KB)
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.
Holden, M. S., Ungi T., Sargent D., McGraw R. C., Chen E. C. S., Ganapathy S., et al. (2013).  Real-Time Workflow Segmentation for Needle-Based Interventions. ImNO2013 - Imaging Network Ontario Symposium. PDF icon Holden2013a-Abstract.pdf (288.68 KB)PDF icon Holden2013a-Poster.pdf (474.54 KB)
Hisey, R., Ungi T., Holden M. S., Baum Z. M. C., Keri Z., McCallum C., et al. (2018).  Real-time workflow detection using webcam video for providing real-time feedback in central venous catheterization training. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. PDF icon RHisey_SPIE2018_Full_02.pdf (749.23 KB)
Pinter, C., Travers B., Baum Z. M. C., Kamali S., Ungi T., Lasso A., et al. (2018).  Real-time transverse process detection in ultrasound. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. PDF icon Pinter2018.pdf (297.47 KB)
Pinter, C., Travers B., Baum Z. M. C., Ungi T., Lasso A., Church B., et al. (2018).  Real-time transverse process delineation in tracked ultrasound for scoliosis measurement. Imaging Network Ontario Symposium (ImNO 2018). PDF icon Pinter2018a.pdf (125.23 KB)
Baum, Z. M. C., Ungi T., Lasso A., & Fichtinger G. (2017).  Real-Time, Tracked, Mobile Augmented Reality Display for Surgical Navigation: Usability Study on Simulated Patients. The 9th IGT Workshop. PDF icon Baum2017c.pdf (172.76 KB)
Baum, Z. M. C., Lasso A., Ungi T., & Fichtinger G. (2016).  Real-time self-calibration of a tracked augmented reality display. SPIE Medical Imaging 2016. 9786, PDF icon Baum2016a.pdf (1.85 MB)
Baum, Z. M. C., Lasso A., Ungi T., & Fichtinger G. (2016).  Real-time self-calibration of a handheld augmented reality overlay system. 14th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Baum2016b.pdf (679.99 KB)
Gauvin, G., Yeo C. T., Ungi T., Fichtinger G., Nanji S., Rudan J., et al. (2014).  Real-time EM navigated breast conserving surgery: phantom and cadaver experiments. Seventh Image Guided Therapy Workshop (MICCAI).
Gauvin, G., Yeo C. T., Ungi T., Fichtinger G., Rudan J., & C. Engel J. (2014).  Real-time electromagnetic navigation for breast tumor resection: proof of concept. The Hamlyn Symposium on Medical Robotics. 39-40.
Gauvin, G., Yeo C. T., Ungi T., C. Engel J., Fichtinger G., & Rudan J. (2014).  Real-Time Electromagnetic Navigation for Breast Tumor Resection: Proof of Concept. Canadian Surgery Forum.
Gauvin, G., Yeo C. T., Ungi T., Fichtinger G., Rudan J., & C. Engel J. (2014).  Real-time electromagnetic navigation for breast tumor resection: proof of concept. The Seventeenth Annual Scientific Meeting for Health Science Research Trainees.
Ungi, T., Gauvin G., Yeo C. T., C. Engel J., Rudan J., & Fichtinger G. (2015).  Real Time Navigation In Breast Tumor Surgery. Computer Assisted Radiology and Surgery, 29th International Congress. 10(Suppl 1), S59-60.PDF icon Ungi2015a.pdf (123.39 KB)
Q
Yan, C., Ungi T., Gauvin G., Jabs D., Lasso A., C. Engel J., et al. (2017).  Quantification of tumor localization needle displacement prior to tumor excision in navigated lumpectomy. 15th Annual Imaging Network of Ontario (ImNO). PDF icon Yan2017b.pdf (150.77 KB)File Yan-IMNO-v3.pptx (1 MB)

Pages