sunderland

Name

Kyle Sunderland MSc

Affiliation

Institution: Queen's University

Department: School of Computing

Designation: Staff

Lab membership period: Since 2014

Publications

2022
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)
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

2020
Wu, C. O., Sunderland K. R., Filippov M., Sainsbury B., Fichtinger G., & Ungi T. (2020). Workflow for creation and evaluation of virtual nephrolithotomy training models. SPIE Medical Imaging Conference 2020. 11315, DOI Google Scholar BibTeX CWu2020a-manuscript.pdf (401.02 KB)
Ungi, T., Greer H., Sunderland K. R., Wu V., Baum Z. M. C., Schlenger C., et al. (2020). Automatic spine ultrasound segmentation for scoliosis visualization and measurement. IEEE Transactions on Biomedical Engineering. 67, 3234 - 3241. DOI Google Scholar BibTeX Ungi2020.pdf (676.48 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. Google Scholar BibTeX Wu2020b.pdf (133.02 KB)
Wu, V., Ungi T., Sunderland K. R., Pigeau G., Schonewille A., & Fichtinger G. (2020). Automatic segmentation of spinal ultrasound landmarks with U-net using multiple consecutive images for input. SPIE Medical Imaging. DOI Google Scholar BibTeX Wu2020a.pdf (292.4 KB)
Laframboise, J., Ungi T., Sunderland K. R., Zevin B., & Fichtinger G. (2020). Open source platform for automated collection of training data to support video-based feedback in surgical simulators. SPIE Medical Imaging. Google Scholar BibTeX

2017
Sunderland, K. R., Pinter C., Lasso A., & Fichtinger G. (2017). Fractional labelmaps for computing accurate dose volume histograms. SPIE Medical Imaging. Google Scholar BibTeX Sunderland2017a.pdf (579.92 KB)

2016
Sunderland, K. R., Pinter C., Lasso A., & Fichtinger G. (2016). Analysis of dose volume histogram deviations using different voxelization parameters. 14th Annual Imaging Network Ontario Symposium (ImNO). Google Scholar BibTeX Sunderland2016b.pdf (299.41 KB)
Sunderland, K. R., Pinter C., Lasso A., & Fichtinger G. (2016). Effects of voxelization on dose volume histogram accuracy. SPIE Medical Imaging. 97862O–97862O. Google Scholar BibTeX sunderland2016a.pdf (437.4 KB)

2015
Sunderland, K. R., Woo B., Pinter C., & Fichtinger G. (2015). Reconstruction of surfaces from planar contours through contour interpolation. SPIE Medical Imaging 2015. 9415, 94151R-94151R-8. DOI Google Scholar BibTeX Sunderland2015-manuscript.pdf (818.33 KB) Sunderland2015-poster.pdf (760.05 KB)