Publications

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Conference Abstract
Lia, H., Paulin G., Yeo C. T., Andrews J., Yi N., Haq H., et al. (2018).  Basic suturing training using Microsoft HoloLens. ImNO 2018. PDF icon Lia2018b.pdf (158.05 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)
Wolff, T., Lasso A., Eblenkamp M., Wintermantel E., & Fichtinger G. (2013).  C-arm angle measurement with accelerometer for brachytherapy—an accuracy study. CARS 2013. 8, 183-184.PDF icon Wolff2013.pdf (222.95 KB)
Hisey, R., Camire D., Erb J., Howes D., Fichtinger G., & Ungi T. (2021).  Central Line Tutor: using computer vision workflow recognition in a central venous catheterization training system. Imaging Network of Ontario Symposium. PDF icon RHisey_ImNO2021.pdf (190.87 KB)
Ungi, T., Gauvin G., Lasso A., Yeo C. T., Rudan J., C. Engel J., et al. (2015).  Clinical Translation of Real Time Cautery Navigation for Breast Surgery. The Hamlyn Symposium on Medical Robotics. 19-20.PDF icon Ungi2015c.pdf (364.42 KB)
Hisey, R., Ungi T., Camire D., Erb J., Howes D., & Fichtinger G. (2019).  Comparison of convolutional neural networks for central venous catheterization tool detection. Imaging Network of Ontario Symposium. PDF icon RHisey_ImNO2019.pdf (464.16 KB)
O'Driscoll, O., Hisey R., Holden M., Camire D., Erb J., Howes D., et al. (2022).  Feasibility of using object detection for performance assessment in central venous catherization. Imaging Network of Ontario Symposium. PDF icon ODriscoll2022b.pdf (183 KB)
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)
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)
Gauvin, G., Yeo C. T., Ungi T., C. Engel J., Fichtinger G., & Rudan J. (2014).  Real-Time Electromagnetic Navigation for Breast Tumor Resection: Proof of Concept. Canadian Surgery Forum.
Gauvin, G., Yeo C. T., Ungi T., Fichtinger G., Rudan J., & C. Engel J. (2014).  Real-time electromagnetic navigation for breast tumor resection: proof of concept. The Seventeenth Annual Scientific Meeting for Health Science Research Trainees.
Gauvin, G., Yeo C. T., Ungi T., Fichtinger G., Nanji S., Rudan J., et al. (2014).  Real-time EM navigated breast conserving surgery: phantom and cadaver experiments. Seventh Image Guided Therapy Workshop (MICCAI).
Hisey, R., Chen B., Camire D., Erb J., Howes D., Fichtinger G., et al. (2020).  Recognizing workflow tasks in central venous catheterization using convolutional neural networks and reinforcement learning. International Conference on Computer Assisted Radiology and Surgery. 94-95.PDF icon RHisey_CARS_2020.pdf (152.24 KB)
Hisey, R., Chen B., Ungi T., Camire D., Erb J., Howes D., et al. (2020).  Reinforcement learning approach for video-based task recognition in central venous catheterization. Imaging Network of Ontario Symposium. PDF icon RHisey_ImNO2020.pdf (399.33 KB)
O'Driscoll, O., Hisey R., Camire D., Erb J., Howes D., Fichtinger G., et al. (2021).  Surgical tool tracking with object detection for performance assessment in central venous catheterization. Imaging Network of Ontario Symposium. PDF icon ODriscoll2021b.pdf (151.14 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)
Conference Paper
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)
Lund, S., Vaughan T., Ungi T., Lasso A., Asselin M., Yeo C., et al. (2019).  Controlling virtual views in navigated breast conserving surgery. SPIE Medical Imaging 2019.
O'Driscoll, O., Hisey R., Holden M., Camire D., Erb J., Howes D., et al. (2022).  Feasibility of object detection for skill assessment in central venous catheterization. SPIE Medical Imaging. PDF icon ODriscoll2022a.pdf (629.59 KB)
Lia, H., Paulin G., Yeo C. T., Andrews J., Yi N., Haq H., et al. (2018).  HoloLens in Suturing Training. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. PDF icon Lia2018a.pdf (528.89 KB)
Erdi, A., Wessels B., Fichtinger G., Yorke E., Loew M., & Erdi Y. (1994).  Integrated Treatment Planning System To Calculate Three Dimensional Absorbed Dose For Radio-Immunotherapy. Proceedings of Fifth Conference of Radio-Immunodetection and Radio-Immunotherapy of Cancer.
Erdi, A., Wessels B., Fichtinger G., Yorke E., Loew M., & Erdi Y. (1994).  Integrated Treatment Planning System To Calculate Three Dimensional Absorbed Dose For Radio-Immunotherapy. Proceedings of Fifth Conference of Radio-Immunodetection and Radio-Immunotherapy of Cancer.
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)
Suljendic, D., Lee J., Chopra S., Kirilova A., Publicover J., Abed J., et al. (2009).  MRI Guided Needle Navigation in Prostate Cancer Targeting. 2nd International Workshop on Focal Therapy and Imaging in Prostate and Kidney Cancer. PDF icon Suljendic2009.pdf (40.35 KB)

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