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Clinkard, D., Moult E., Holden M. S., Davison C., Ungi T., Fichtinger G., et al. (2015).  Assessment of Lumbar Puncture Skill in Experts and Nonexperts Using Checklists and Quantitative Tracking of Needle Trajectories: Implications for Competency-Based Medical Education. Teaching and Learning in Medicine. 27, 51-56.
Coleman, J., Susil R., Krieger A., Choyke P., Wise B., Thomasson D., et al. (2004).  Technique and Accuracy of a Clinical System for Transrectal Intraprostatic Needle Placement in a Standard 1 5T MRI Scanner. American Urological Association. PDF icon Coleman2004.pdf (332.69 KB)
Connolly, L., Jamzad A., Kaufmann M., Farquharson C. E., Ren K., Rudan J. F., et al. (2021).  Combined Mass Spectrometry and Histopathology Imaging for Perioperative Tissue Assessment in Cancer Surgery. Journal of Imaging. 7,
Connolly, L., Ungi T., Lasso A., Vaughan T., Asselin M., Mousavi P., et al. (2019).  Mechanically-Controlled Spectroscopic Imaging for Tissue Classification. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951, PDF icon Connolly2019a.pdf (877.7 KB)
Connolly, L., Sunderland K. R., Lasso A., Deguet A., Ungi T., Rudan J., et al. (2021).  A platform for robot-assisted Intraoperative imaging in breast conserving surgery. Imaging Network of Ontario Symposium . PDF icon Connolly2021a.pdf (773.23 KB)
Connolly, L., Deguet A., Leonard S., Tokuda J., Ungi T., Krieger A., et al. (2022).  Bridging 3D Slicer and ROS2 for Image-Guided Robotic Interventions. Sensors. 22,
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.
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. PDF icon Connolly2022b.pdf (838.81 KB)
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, PDF icon Connolly2020a.pdf (823.25 KB)
Connolly, L., Jamzad A., Nikniazi A., Poushimin R., Nunzi J. Michel, Rudan J. F., et al. (2022).  Feasibility of combined optical and acoustic imaging for surgical cavity scanning. SPIE Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling. 12034(120341H), 
Cumming, I., Joshi C., Lasso A., Rankin A., Falkson C., Schreiner J., et al. (2014).  3D Printed Patient-Specific Surface Mould Applicators for Brachytherapy Treatment of Superficial Lesions. American Association Physicists in Medicine (AAPM). 41 (abstract in Medical Physics)(6), PDF icon Cumming2014.pdf (148.57 KB)

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