Publications

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Filters: Author is Amoon Jamzad  [Clear All Filters]
2020
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)
2021
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,
2022
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), 
Connolly, L., Jamzad A., Nikniazi A., Poushimin R., Lasso A., Sunderland K., 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)
In Press
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.