Publications

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C
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,
H
Kaufmann, M., Vaysse P-M., Savage A., Amgheib A., Marton A., Manoli E., et al. (2022).  Harmonization of Rapid Evaporative Ionization Mass Spectrometry Workflows across Four Sites and Testing Using Reference Material and Local Food-Grade Meats. Metabolites.
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Asselin, M., Kaufmann M., Wiercigroch J., Ungi T., Lasso A., Rudan J., et al. (2019).  Navigated real-time molecular analysis in the operating theatre, demonstration of concept. SPIE Medical Imaging 2019.
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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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.