Publications

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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., 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,
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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), 
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Janssen, N., Kaufmann M., Santilli A., Jamzad A., Kaitlin V., Ren K., et al. (In Press).  Navigated tissue characterization during skin cancer surgery. Int J Comput Assist Radiol Surg.
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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)
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Fooladgar, F., Jamzad A., Connolly L., Santilli A., Kaufmann M., Ren K., et al. (2022).  Uncertainty estimation for margin detection in cancer surgery using mass spectrometry. International Journal of Computer Assisted Radiology and Surgery.