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.

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Baum2017a.pdf (889.77 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.

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Wu, V., Ungi T., & Fichtinger G. (2019).  Using Deep Learning for Transverse Process Detection in Spinal Ultrasounds. 17th Annual Imaging Network Ontario Symposium (ImNO).

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Wu2019a.pdf (158.09 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.

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Pinter2020a.pdf (713.06 KB)

Wu, V., Ungi T., Sunderland K., 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.

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Wu2020b.pdf (133.02 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.

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Yeo2017.pdf (527.68 KB)

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).

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Isen2019b.pdf (129.5 KB)

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.

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Xu2005.pdf (240.97 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.

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Li2005a.pdf (1.9 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).

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House2017b.pdf (234.11 KB) House2017b-Poster.pdf (549.11 KB)

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.

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Poulin2018.pdf (2.46 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.

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Poulin2017.pdf (1.17 MB)

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.

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Pompeu-Robinson2010.pdf (6.86 MB)

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.

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Fischer2007a.pdf (404.46 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).

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Yan2016b.pdf (388.09 KB)

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.

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Boctor2003b.pdf (399.33 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.

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Boctor2004d.pdf (1.74 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).

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Vaughan2017a.pdf (366.19 KB)

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.

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Baum2018a.pdf (1.46 MB)

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.

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Carter2015a.pdf (123.23 KB) Carter2015a-poster.pptx (3.24 MB) Carter2015a-slides.pptx (21.62 MB)

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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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.

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Church2017a.pdf (814.95 KB)

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.

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Balogh2004.pdf (707.08 KB)

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.

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Anand2013b.pdf (915.32 KB)