Publications

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Anand, M., Ungi T., Lasso A., U-Thainual P., Jayender J., Fritz J., et al. (2013).  Workspace Analysis and Calibration Method for Mobile Image Overlay System used for Image-Guided Interventions. The Hamlyn Symposium on Medical Robotics - 2013. PDF icon Anand2013b.pdf (915.32 KB)
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Balogh, E., Deguet A., Susil R., Krieger A., Viswanathan A., Menard C., et al. (2004).  Visualization, Planning, and Monitoring Software for MRI-Guided Prostate Intervention Robot. Proceedings Lecture Notes in Computer Science Medical Image Computing and Computer-Assisted Intervention (MICCAI). 3217, 73-80.PDF icon Balogh2004.pdf (707.08 KB)
Church, B., Lasso A., Schlenger C., Borschneck D. P., Mousavi P., Fichtinger G., et al. (2017).  Visualization of scoliotic spine using ultrasound-accessible skeletal landmarks. SPIE Medical Imaging 2017. PDF icon Church2017a.pdf (814.95 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,
Carter, K., Lasso A., Ungi T., Morin E., & Fichtinger G. (2015).  Visual feedback mounted on surgical tool. 13th Imaging Network of Ontario Symposium (ImNO 2015). 36.PDF icon Carter2015a.pdf (123.23 KB)File Carter2015a-poster.pptx (3.24 MB)File Carter2015a-slides.pptx (21.62 MB)
Baum, Z. M. C., Ungi T., Lasso A., Church B., Schlenger C., & Fichtinger G. (2018).  Visual aid for identifying vertebral landmarks in ultrasound. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. 10576, 105760Z.PDF icon Baum2018a.pdf (1.46 MB)
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)
Boctor, E., Webster R., Mathieu H., Okamura A., & Fichtinger G. (2004).  Virtual remote center of motion control for needle placement robots. Journal of Computer Assisted Surgery. 9 (5), 175-183.PDF icon Boctor2004d.pdf (1.74 MB)
Boctor, E., Webster R., Mathieu H., Okamura A., & Fichtinger G. (2003).  Virtual remote center of motion control for needle placement robots. Journal of Computer Aided Surgery. 9, 175–183.PDF icon Boctor2003b.pdf (399.33 KB)
Yan, C., Tabanfar R., Kempston M., Borschneck D., Ungi T., & Fichtinger G. (2016).  Vertebral landmark visualization with portable ultrasound imaging in scoliosis monitoring. 14th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Yan2016b.pdf (388.09 KB)
Fischer, G., Dyer E., Csoma C., Deguet A., & Fichtinger G. (2007).  Validation system of MR image overlay and other needle insertion techniques. Studies in health technology and informatics. 125, 130–135.PDF icon Fischer2007a.pdf (404.46 KB)
Pompeu-Robinson, A. M., Gray J., Marble J., Peikari H., Hall J., U-Thainual P., et al. (2010).  Validation platform for ultrasound-based monitoring of thermal ablation. SPIE - Medical Imaging. PDF icon Pompeu-Robinson2010.pdf (6.86 MB)
Poulin, E. (2017).  Validation Of MRI To US Registration For Focal Hdr Prostate Brachytherapy Treatment. (Boudam, K., Pinter C., Kadoury S., Lasso A., Fichtinger G., & Menard C., Ed.).Annual Scientific Meeting of the American Brachytherapy Society. 16, S56-S57.PDF icon Poulin2017.pdf (1.17 MB)
Poulin, E., Boudam K., Pinter C., Kadoury S., Lasso A., Fichtinger G., et al. (2018).  Validation of MRI to TRUS registration for HDR prostate brachytherapy. Brachytherapy. 17, 283-290.PDF icon Poulin2018.pdf (2.46 MB)
House, R., Lasso A., Martou G., & Fichtinger G. (2017).  Validation of breast volume measurement using 3D surface scanner. 15th Annual Imaging Network of Ontario (ImNO). PDF icon House2017b.pdf (234.11 KB)PDF icon House2017b-Poster.pdf (549.11 KB)
Li, J., Iordachita I., Balogh E., Fichtinger G., & Kazanzides P. (2005).  Validation of an image-guided robot system for measurement, biopsy and injection in rodents. Procedings IEEE 31st Annual Northeast Bioengineering Conference. 131–133.PDF icon Li2005a.pdf (1.9 MB)
Xu, S., Fichtinger G., Taylor R., & Cleary K. (2005).  Validation of 3D motion tracking of pulmonary lesions using CT fluoroscopy images for robotically assisted lung biopsy. (Galloway, Jr., R. L., & Cleary K., Ed.).Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display. 5744, 60-68.PDF icon Xu2005.pdf (240.97 KB)
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Isen, J., Hisey R., Ungi T., & Fichtinger G. (2019).  Utilizing a convolutional neural network for tool detection in central venous catheterization. 33rd International Congress & Exhibition on Computer Assisted Radiology and Surgery (CARS). PDF icon Isen2019b.pdf (129.5 KB)
Yeo, C. T., MacDonald A., Ungi T., Lasso A., Jalink D., Zevin B., et al. (2018).  Utility of 3D Reconstruction of 2D Liver Computed Tomography/Magnetic Resonance Images as a Surgical Planning Tool for Residents in Liver Resection Surgery. Journal of Surgical Education. 75, 792-797.PDF icon Yeo2017.pdf (527.68 KB)
Wu, V., Ungi T., Sunderland K. R., Pigeau G., Schonewille A., & Fichtinger G. (2020).  Using multiple frame U-net for automated segmentation of spinal ultrasound images. 18th Annual Imaging Network Ontario (ImNO) Symposium. PDF icon Wu2020b.pdf (133.02 KB)
Pinter, C., Olding T., L. Schreiner J., & Fichtinger G. (2020).  Using Fuzzy Logics to Determine Optimal Oversampling Factor for Voxelizing 3D Surfaces in Radiation Therapy. Soft Computing. PDF icon Pinter2020a.pdf (713.06 KB)
Wu, V., Ungi T., & Fichtinger G. (2019).  Using Deep Learning for Transverse Process Detection in Spinal Ultrasounds. 17th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Wu2019a.pdf (158.09 KB)
Lobo, J. R., Moradi M., Chng N., Dehghan E., Morris W. J., Fichtinger G., et al. (2012).  Use of Needle Track Detection to Quantify the Displacement of Stranded Seeds Following Prostate Brachytherapy. IEEE Transactions on Medical Imaging. 31, 738 - 748.
Baum, Z. M. C., Ungi T., Lasso A., & Fichtinger G. (2017).  Usability of a real-time tracked augmented reality display system in musculoskeletal injections. SPIE Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling. PDF icon Baum2017a.pdf (889.77 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.

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