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Real-time automatic tumor segmentation for ultrasound-guided breast-conserving surgery navigation. International Journal of Computer Assisted Radiology and Surgery.(In Press).
Breast volume computation for planning and monitoring fat grafting. Imaging Network Ontario (IMNO).(2018).
Monitoring volume changes for breast reconstruction surgery using three dimensional optical surface scanning. Canadian Society of Plastic Surgeons (CSPS) Annual Meeting.(2019).
Evaluation of the Intel RealSense SR300 camera for image-guided interventions and application in vertebral level localization. SPIE Medical Imaging .(2017).
Breast volume measurement using three-dimensional surface scan for fat grafting planning and monitoring. CARS.(2018).
Validation of breast volume measurement using 3D surface scanner. 15th Annual Imaging Network of Ontario (ImNO).(2017).
Reducing Cost and Complexity in Computer-Assisted Training for Lumpectomy. William Ersil Resident Research Day.(2017).
Overall Proficiency Assessment in Point-of-Care Ultrasound Interventions: The Stopwatch is not Enough. Point-of-Care Ultrasound Workshop. LNCS 10549, 146-153.(2017).
Linear Object Registration: A Registration Algorithm using Points, Lines, and Planes. 12th Imaging Network Ontario Symposium (ImNO 2014).(2014).
Central Venous Catheterization Curriculum Development via Objective Performance Metrics. 14th Annual Imaging Network Ontario Symposium (ImNO).(2016).
Feasibility of Real-Time Workflow Segmentation for Tracked Needle Interventions. IEEE Transactions on Biomedical Engineering. 61, 1720-1728.(2014).
Linear Object Registration for Image-Guided Interventions. School of Computing. Masters,(2014).
Configurable Overall Skill Assessment in Ultrasound-Guided Needle Insertion. 16th Annual Imaging Network Ontario Symposium (ImNO).(2018).
Surgical Motion Characterization in Simulated Needle-Insertion Procedures. SPIE Medical Imaging 2012. 8316-31.(2012).
Objective Evaluation Of Sonographic Skill In Focussed Assessment With Sonography For Trauma Examinations. Computer Assisted Radiology and Surgery, 29th International Congress and Exhibition. 10(Supplement 1), S79-S80.(2015).
Assessing Technical Competency in Simulated Colonoscopy Using Joint Motion Analysis. 15th Annual Imaging Network Ontario Symposium (ImNO).(2017).
Linear Object Registration of Interventional Tools. Workshop on Augmented Environments for Computer-Assisted Interventions. LNCS 8678, 118-127.(2014).
Real-Time Workflow Segmentation for Needle-Based Interventions. ImNO2013 - Imaging Network Ontario Symposium.(2013).
Machine learning methods for automated technical skills assessment with instructional feedback in ultrasound-guided interventions. International Journal of Computer Assisted Radiology and Surgery.(In Press).
Self-guided training for deep brain stimulation planning using objective assessment. International Journal of Computer Assisted Radiology and Surgery. 13, 1129-1139.(2018).
Objective assessment of colonoscope manipulation skills in colonoscopy training. International Journal of Computer Assisted Radiology and Surgery. 13, 105-114.(2018).
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).
Reinforcement learning approach for video-based task recognition in central venous catheterization. Imaging Network of Ontario Symposium.(2020).
Assessment of the use of webcam based workflow detection for providing real-time feedback in central venous catheterization training. Imaging Network Ontario (IMNO).(2018).
Comparison of convolutional neural networks for central venous catheterization tool detection. Imaging Network of Ontario Symposium.(2019).