Publications

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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.
Hu, Z., Fauerbach P. V. Nasute, Yeung C., Ungi T., Rudan J., C. Engel J., et al. (In Press).  Real-time automatic tumor segmentation for ultrasound-guided breast-conserving surgery navigation. International Journal of Computer Assisted Radiology and Surgery.
2022
Connolly, L., Jamzad A., Nikniazi A., Poushimin R., Nunzi J. Michel, Rudan J., 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), 
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.
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)
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.
2021
Connolly, L., Jamzad A., Kaufmann M., Farquharson C. E., Ren K., Rudan J., et al. (2021).  Combined Mass Spectrometry and Histopathology Imaging for Perioperative Tissue Assessment in Cancer Surgery. Journal of Imaging. 7,
Fauerbach, P. V. Nasute, Tyryshkin K., Rodrigo S. Perez, Rudan J., Fichtinger G., Reedijk M., et al. (2021).  Lack of definitive presurgical pathological diagnosis is associated with inadequate surgical margins in breast-conserving surgery. European Journal of Surgical Oncology.
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., 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 . PDF icon Connolly2021a.pdf (773.23 KB)
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)
Gauvin, G., Yeo C. T., Ungi T., Merchant S., Lasso A., Jabs D., et al. (2020).  Real‐time electromagnetic navigation for breast‐conserving surgery using NaviKnife technology: A matched case‐control study. The Breast Journal. 26, 399-405.
2019
House, R., Kunz M., Valiquette C., Lasso A., Ungi T., Rudan J., et al. (2019).  Monitoring volume changes for breast reconstruction surgery using three dimensional optical surface scanning. Canadian Society of Plastic Surgeons (CSPS) Annual Meeting. PDF icon House2019a-manuscript.pdf (372.2 KB)
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.
2018
House, R., Lasso A., Kunz M., Rudan J., Martou G., & Fichtinger G. (2018).  Breast volume computation for planning and monitoring fat grafting. Imaging Network Ontario (IMNO). PDF icon House2018b.pdf (140.11 KB)
House, R., Lasso A., Kunz M., Rudan J., Martou G., & Fichtinger G. (2018).  Breast volume measurement using three-dimensional surface scan for fat grafting planning and monitoring. CARS. PDF icon House2018a.pdf (636.52 KB)
2017
Yan, C., Ungi T., Gauvin G., Jabs D., Lasso A., C. Engel J., et al. (2017).  Quantification of tumor localization needle displacement prior to tumor excision in navigated lumpectomy. 15th Annual Imaging Network of Ontario (ImNO). PDF icon Yan2017b.pdf (150.77 KB)File Yan-IMNO-v3.pptx (1 MB)
Yan, C., Ungi T., Gauvin G., Jabs D., Lasso A., C. Engel J., et al. (2017).  Study into the displacement of tumor localization needle during navigated breast cancer surgery. SPIE Medical Imaging. PDF icon Yan2017a.pdf (564.16 KB)
Vaughan, T., Ungi T., Lasso A., Gauvin G., C. Engel J., Rudan J., et al. (2017).  Virtual views controlled by surgical tools for computer assisted interventions. 15th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Vaughan2017a.pdf (366.19 KB)
2016
Heffernan, E., Ungi T., Vaughan T., Pezeshki P., Lasso A., Gauvin G., et al. (2016).  Accuracy of lesion boundary tracking in navigated breast tumor excision. SPIE Medical Imaging 2016. 9786, 97860Y-1-6.PDF icon Heffernan2016-manuscript.pdf (303.45 KB)
Gauvin, G., Ungi T., Lasso A., Yeo C. T., Fichtinger G., Jabs D., et al. (2016).  Breast-Conserving Surgery using NaviKnife Technology: Pilot Study on Non-Palpable Tumors. Canadian Surgery Forum 2016. PDF icon Gauvin2016a.pdf (66.46 KB)
Ungi, T., Vaughan T., Gauvin G., Pezeshki P., Lasso A., C. Engel J., et al. (2016).  Intraoperative user interface for navigated breast tumor surgery. Computer Assisted Radiology and Surgery, 30th International Congress. 11(Suppl. 1), S108-9.PDF icon Ungi2016c.pdf (137.38 KB)
Harish, V., Baksh A., Ungi T., Lasso A., Baum Z. M. C., Gauvin G., et al. (2016).  Measurement of electromagnetic tracking error in a navigated breast surgery setup. SPIE Medical Imaging 2016. 9786, PDF icon Harish2016a.pdf (4.07 MB)
Harish, V., Baksh A., Ungi T., Lasso A., Baum Z. M. C., Gauvin G., et al. (2016).  Monitoring electromagnetic tracking error in computer-navigated breast cancer surgery. 14th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Harish2016c.pdf (1.25 MB)
Gauvin, G., Ungi T., Lasso A., Walker R., Rudan J., Fichtinger G., et al. (2016).  Safety and Feasibility Study for Real-Time Electromagnetic Navigation in Breast-Conserving Surgery. Computer Assisted Radiology and Surgery, 30th International Congress. 11(Suppl. 1), S106-7.PDF icon Gauvin2016a.pdf (492.77 KB)

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