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DiMaio, S., Kacher D., Ellis R., Fichtinger G., Hata N., Zientara G., et al. (2006).  Needle artifact localization in 3T MR images. Studies in health technology and informatics. 119, 120–125.PDF icon DiMaio2006.pdf (369.31 KB)
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O'Driscoll, O., Hisey R., Camire D., Erb J., Howes D., Fichtinger G., et al. (2021).  Object detection to compute performance metrics for skill assessment in central venous catheterization. SPIE Medical Imaging. PDF icon ODriscoll2021a.pdf (322.11 KB)
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Hefny, M., Abolmaesumi P., Karim-Aghaloo Z., Gobbi D., Ellis R., & Fichtinger G. (2008).  Quantification of edematic effects in prostate brachytherapy interventions. Medical image computing and computer-assisted intervention (MICCAI). 11, 493–500.PDF icon Hefny2008.pdf (408.83 KB)
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)
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Ungi, T., Gauvin G., Yeo C. T., C. Engel J., Rudan J., & Fichtinger G. (2015).  Real Time Navigation In Breast Tumor Surgery. Computer Assisted Radiology and Surgery, 29th International Congress. 10(Suppl 1), S59-60.PDF icon Ungi2015a.pdf (123.39 KB)
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.
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., 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 Hamlyn Symposium on Medical Robotics. 39-40.
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).
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.
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)
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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)
Holden, M. S., Zhao Y., Haegelen C., Essert C., Fernanez-Vidal S., Bardinet E., et al. (2018).  Self-guided training for deep brain stimulation planning using objective assessment. International Journal of Computer Assisted Radiology and Surgery. 13, 1129-1139.
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)
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)
Hisey, R., Camire D., Erb J., Howes D., Fichtinger G., & Ungi T. (2021).  System for central venous catheterization training using computer vision-based workflow feedback. IEEE Transactions on Biomedical Engineering.
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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)
Carter, K., Vaughan T., Holden M. S., Gauvin G., Pezeshki P., Lasso A., et al. (2016).  Visual feedback mounted on surgical tool: proof of concept. SPIE Medical Imaging 2016. 9786,

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