ungi

Name

Tamas Ungi MD, PhD, Associate Director (Clinical Translations)

Short Biography

Tamas Ungi received MD degree in 2006 and PhD degree in Radiology in 2011 from the University of Szeged, Hungary. He is currently an Adjunct Assistant Professor and Senior Research Scientist at the School of Computing and at the Department of Surgery at Queen's University in Canada. He joined the Laboratory for Percutaneous Surgery (Perk Lab) in 2009, where he is the Associate Director of Clinical Translations. His research interests are image-guided medical interventions, and interventional skills education. He is a primary contributor to the SlicerIGT open-source software that facilitates technology development for navigated medical interventions for several academic and industrial projects.

Tamas Ungi's full CV

Affiliation

Institution: Queen's University

Department: School of Computing

Designation: Adjunct faculty

Lab membership period: since 2009

Projects

Publications

In Press
Hu, Z., Fauerbach P. V. Nasute, Yeung C., Ungi T., Rudan J., C. Engel J., et al. (In Press). Real-time automatic tumor segmentation for ultrasound-guided breast-conserving surgery navigation. International Journal of Computer Assisted Radiology and Surgery. DOI Google Scholar BibTeX
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. DOI Google Scholar BibTeX
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. Google Scholar BibTeX
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). Google Scholar BibTeX
Holden, M., 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. DOI Google Scholar BibTeX Holden2019a-manuscript.pdf (640.01 KB)

2022
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. Google Scholar BibTeX
Connolly, L., Degeut A., Leonard S., Tokuda J., Ungi T., Krieger A., et al. (2022). Bridging 3D Slicer and ROS2 for Image-Guided Robotic Interventions. Sensors. 22, DOI Google Scholar BibTeX
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. Google Scholar BibTeX
O'Driscoll, O., Hisey R., Holden M., Camire D., Erb J., Howes D., et al. (2022). Feasibility of using object detection for performance assessment in central venous catherization. Imaging Network of Ontario Symposium. Google Scholar BibTeX ODriscoll2022b.pdf (183 KB)
O'Driscoll, O., Hisey R., Holden M., Camire D., Erb J., Howes D., et al. (2022). Feasibility of object detection for skill assessment in central venous catheterization. SPIE Medical Imaging. Google Scholar BibTeX ODriscoll2022a.pdf (629.59 KB)
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 . Google Scholar BibTeX
Klosa, E., Hisey R., Nazari T., Wiggers T., Zevin B., Ungi T., et al. (2022). Identifying tissues for task recognition in training of open inguinal hernia repairs. Imaging Network of Ontario Symposium. Google Scholar BibTeX Klosa2022b.pdf (116.1 KB)
Klosa, E., Hisey R., Nazari T., Wiggers T., Zevin B., Ungi T., et al. (2022). Tissue segmentation for workflow recognition in open inguinal hernia repair training. SPIE Medical Imaging. Google Scholar BibTeX Klosa2022a.pdf (385.41 KB)
Lee, H.Y. (2022). Evaluating Faster R-CNN for cataract surgery tool detection using microscopy video. (Hisey, R., Ed.).Imaging Network of Ontario Symposium. Google Scholar BibTeX
Connolly, L., Jamzad A., Nikniazi A., Poushimin R., Lasso A., Sunderland K. R., et al. (2022). An open-source testbed for developing image-guided robotic tumor-bed inspection. Imaging Network of Ontario (ImNO) Symposium. Google Scholar BibTeX Connolly2022b.pdf (838.81 KB)

2021
Connolly, L., Sunderland K. R., Lasso A., Degeut A., Ungi T., Rudan J., et al. (2021). A platform for robot-assisted Intraoperative imaging in breast conserving surgery. Imaging Network of Ontario Symposium . Google Scholar BibTeX Connolly2021a.pdf (773.23 KB)
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
Connolly, L., Degeut A., Sunderland K. R., Lasso A., Ungi T., Rudan J., et al. (2021). An open-source platform for cooperative semi-autonomous robotic surgery. IEEE International Conference on Autonomous Systems. DOI Google Scholar BibTeX
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
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
Fichtinger, G., Mousavi P., Ungi T., Fenster A., Abolmaesumi P., Kronreif G., et al. (2021). Design of an Ultrasound-Navigated Prostate Cancer Biopsy System for Nationwide Implementation in Senegal. Journal of Imaging. 7, 154. DOI Google Scholar BibTeX
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. Google Scholar BibTeX RHisey_ImNO2021.pdf (190.87 KB)
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)
Wu, C. O., Diao B., Ungi T., Sedghi A., Kikinis R., Mousavi P., et al. (2021). Development of an open-source system for prostate biopsy training in Senegal. SPIE Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling. 11598, Google Scholar BibTeX CWu2021a.pdf (455.85 KB) CWu2021a-poster.pdf (708.05 KB)
O'Driscoll, O., Hisey R., Camire D., Erb J., Howes D., Fichtinger G., et al. (2021). Surgical tool tracking with object detection for performance assessment in central venous catheterization. Imaging Network of Ontario Symposium. Google Scholar BibTeX ODriscoll2021b.pdf (151.14 KB)
O'Driscoll, O., Hisey R., Camire D., Erb J., Howes D., Fichtinger G., et al. (2021). Object detection to compute performance metrics for skill assessment in central venous catheterization. SPIE Medical Imaging. Google Scholar BibTeX ODriscoll2021a.pdf (322.11 KB)

2020
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)

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