Publications

Search

Show only items where

Author

Type

Term

Year

Keyword

Export 173 results:

BibTeX

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

W

Anand, M., Ungi T., Lasso A., U-Thainual P., Jayender J., Fritz J., et al. (2013). Workspace Analysis and Calibration Method for Mobile Image Overlay System used for Image-Guided Interventions. The Hamlyn Symposium on Medical Robotics - 2013.

Anand2013b.pdf (915.32 KB)

V

Church, B., Lasso A., Schlenger C., Borschneck D. P., Mousavi P., Fichtinger G., et al. (2017). Visualization of scoliotic spine using ultrasound-accessible skeletal landmarks. SPIE Medical Imaging 2017.

Church2017a.pdf (814.95 KB)

Carter, K., Vaughan T., Holden M. S., Gauvin G., Pezeshki P., Lasso A., et al. (2016). Visual feedback mounted on surgical tool: proof of concept. SPIE Medical Imaging 2016. 9786,

Carter, K., Lasso A., Ungi T., Morin E., & Fichtinger G. (2015). Visual feedback mounted on surgical tool. 13th Imaging Network of Ontario Symposium (ImNO 2015). 36.

Carter2015a.pdf (123.23 KB)

Carter2015a-poster.pptx (3.24 MB)

Carter2015a-slides.pptx (21.62 MB)

Baum, Z. M. C., Ungi T., Lasso A., Church B., Schlenger C., & Fichtinger G. (2018). Visual aid for identifying vertebral landmarks in ultrasound. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. 10576, 105760Z.

Baum2018a.pdf (1.46 MB)

Vaughan, T., Ungi T., Lasso A., Gauvin G., C. Engel J., Rudan J., et al. (2017). Virtual views controlled by surgical tools for computer assisted interventions. 15th Annual Imaging Network Ontario Symposium (ImNO).

Vaughan2017a.pdf (366.19 KB)

Yan, C., Tabanfar R., Kempston M., Borschneck D., Ungi T., & Fichtinger G. (2016). Vertebral landmark visualization with portable ultrasound imaging in scoliosis monitoring. 14th Annual Imaging Network Ontario Symposium (ImNO).

Yan2016b.pdf (388.09 KB)

U

Isen, J., Hisey R., Ungi T., & Fichtinger G. (2019). Utilizing a convolutional neural network for tool detection in central venous catheterization. 33rd International Congress & Exhibition on Computer Assisted Radiology and Surgery (CARS).

Isen2019b.pdf (129.5 KB)

Yeo, C. T., MacDonald A., Ungi T., Lasso A., Jalink D., Zevin B., et al. (2018). Utility of 3D Reconstruction of 2D Liver Computed Tomography/Magnetic Resonance Images as a Surgical Planning Tool for Residents in Liver Resection Surgery. Journal of Surgical Education. 75, 792-797.

Yeo2017.pdf (527.68 KB)

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

Wu2020b.pdf (133.02 KB)

Wu, V., Ungi T., & Fichtinger G. (2019). Using Deep Learning for Transverse Process Detection in Spinal Ultrasounds. 17th Annual Imaging Network Ontario Symposium (ImNO).

Wu2019a.pdf (158.09 KB)

Baum, Z. M. C., Ungi T., Lasso A., & Fichtinger G. (2017). Usability of a real-time tracked augmented reality display system in musculoskeletal injections. SPIE Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling.

Baum2017a.pdf (889.77 KB)

Ungi, T., Lasso A., Welch M., Jalal R., Nagpal S., Jaeger M., et al. (2012). Ultrasound-guided spinal needle placement on open source platform. ImNO2012 - Imaging Network Ontario Symposium.

Ungi2012a.pdf (267.8 KB)

Moult, E., Ungi T., Welch M., Lu J., McGraw R. C., & Fichtinger G. (2013). Ultrasound-guided facet joint injection training using Perk Tutor. International Journal of Computer Assisted Radiology and Surgery. 8, 831-6.

Baum, Z. M. C., Ungi T., Lasso A., Church B., Schlenger C., & Fichtinger G. (2018). Ultrasound-based vertebral landmark localization using deformable spine models. 16th Annual Imaging Network Ontario Symposiuim.

Baum2018b.pdf (1.03 MB)

Baum2018b-Poster.pdf (961.09 KB)

Ungi, T., Moult E., Schwab J. H., & Fichtinger G. (2013). Ultrasound Snapshots in Percutaneous Pedicle Screw Placement Navigation: A Feasibility Study. Clinical Orthopaedics and Related Research.

Ungi2013e_WebVersion.pdf (653.91 KB)

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.

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.

CBarr2021a.pdf (391.8 KB)

T

Lia, H., Keri Z., Holden M. S., Harish V., Mitchell C. H., Ungi T., et al. (2017). Training with Perk Tutor improves ultrasound-guided in-plane needle insertion skill. SPIE Medical Imaging. 10135,

Lia-SPIE2017.pdf (373.32 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.

Fichtinger, G., Siemens R., Holden M. S., Ungi T., Beiko D., Fuoco M., et al. (2014). Tracked ultrasound snapshots improve the performance of novices in simulated percutaneous nephrostomy. Imaging Network Ontario Symposium.

Ungi, T., Lasso A., & Fichtinger G. (2014). Tracked Ultrasound in Navigated Spine Interventions. Spinal Imaging and Image Analysis. 469-94.

Ungi2014c.pdf (870.53 KB)

Ungi, T., Beiko D., Fuoco M., King F., Holden M. S., Fichtinger G., et al. (2014). Tracked ultrasonography snapshots enhance needle guidance for percutaneous renal access: a pilot study. J Endourol. 28, 1040-5.

Ungi2014b.pdf (533.29 KB)

Asselin, M., Lasso A., Ungi T., & Fichtinger G. (2018). Towards webcam-based tracking for interventional navigation. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling.

Asselin2018a.pdf (429.19 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.

Klosa2022a.pdf (385.41 KB)

Pages