Export 169 results:
Filters: Author is Tamas Ungi [Clear All Filters]
Recognizing workflow tasks in central venous catheterization using convolutional neural networks and reinforcement learning. International Conference on Computer Assisted Radiology and Surgery. 94-95.(2020).
Reducing Cost and Complexity in Computer-Assisted Training for Lumpectomy. William Ersil Resident Research Day.(2017).
Reinforcement learning approach for video-based task recognition in central venous catheterization. Imaging Network of Ontario Symposium.(2020).
Reproducibility of freehand calibrations for ultrasound-guided needle navigation. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951,(2019).
Retraining MobileNet with highly variable data for tool detection in central venous catheterization. 17th Annual Imaging Network Ontario Symposium (ImNO).(2019).
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.(2016).
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).(2017).
Self-guided training for deep brain stimulation planning using objective assessment. International Journal of Computer Assisted Radiology and Surgery. 13, 1129-1139.(2018).
Skull registration for prone patient position using tracked ultrasound. SPIE Medical Imaging 2017.(2017).
SlicerIGT: Open-source platform for image-guided needle interventions. ImNO2013 - Imaging Network Ontario Symposium.(2013).
Spinal curvature measurement by tracked ultrasound snapshots. Ultrasound in Medicine and Biology. 40(2), 447-54.(2014).
Spinal Needle Navigation by Tracked Ultrasound Snapshots. IEEE Trans Biomed Eng. 59, 2766-2772.(2012).
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,(2019).
Study into the displacement of tumor localization needle during navigated breast cancer surgery. SPIE Medical Imaging.(2017).
Surgical Motion Characterization in Simulated Needle-Insertion Procedures. SPIE Medical Imaging 2012. 8316-31.(2012).
Surgical tool tracking with object detection for performance assessment in central venous catheterization. Imaging Network of Ontario Symposium.(2021).
System for central venous catheterization training using computer vision-based workflow feedback. IEEE Transactions on Biomedical Engineering.(2021).
System for objectively evaluating colonoscopy procedural skills using motion analysis. 14th Annual Imaging Network Ontario Symposium (ImNO).(2016).
Temporal calibration of tracked ultrasound. ImNO2013 - Imaging Network Ontario Symposium.(2013).
Tissue segmentation for workflow recognition in open inguinal hernia repair training. SPIE Medical Imaging.(2022).
Towards webcam-based tracking for interventional navigation. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling.(2018).
Tracked ultrasonography snapshots enhance needle guidance for percutaneous renal access: a pilot study. J Endourol. 28, 1040-5.(2014).
Tracked Ultrasound in Navigated Spine Interventions. Spinal Imaging and Image Analysis. 469-94.(2014).
Tracked ultrasound snapshots improve the performance of novices in simulated percutaneous nephrostomy. Imaging Network Ontario Symposium.(2014).