Publications

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A
Asselin, M., Lasso A., Ungi T., & Fichtinger G. (2018).  Towards webcam-based tracking for interventional navigation. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. PDF icon Asselin2018a.pdf (429.19 KB)
Avni, S., Vikal S., & Fichtinger G. (2010).  Design of a predictive targeting error simulator for MRI-guided prostate biopsy. Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling. 76251A-1 - 76251A-8.PDF icon Avni2010.pdf (772.71 KB)
Ayad, M., Lee J., Prince J. L., & Fichtinger G. (2009).  Prostate brachytherapy seed localization using a mobile C-arm without tracking. SPIE Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, Procedings. 7261, na.PDF icon Ayad2009.pdf (263.61 KB)
B
Baksh, A., Harish V., Ungi T., Pal R., & Fichtinger G. (2016).  An inexpensive system for competency-based pericardiocentesis training. 14th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Baksh2016a.pdf (919.93 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.PDF icon Balogh2004.pdf (707.08 KB)
Barr, C., Lasso A., Asselin M., Pieper S., Robertson F. C., Gormley W. B., et al. (2020).  Towards portable image guidance and automatic patient registration using an RGB-D camera and video projector. Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions and Modeling. 11315, PDF icon Barr2020.pdf (487.62 KB)
Bartha, L., Lasso A., Chen T. K., & Fichtinger G. (2011).  Automatic fiducial localization in ultrasound images for a thermal ablation validation platform. SPIE Medical Imaging. 7964, 796421.PDF icon Bartha2011a.pdf (750.1 KB)
Bartha, L., Lasso A., Pinter C., Ungi T., Keri Z., & Fichtinger G. (2013).  Open-source surface mesh-based ultrasound-guided spinal intervention simulator. International Journal of Computer Assisted Radiology and Surgery. 8, 1043-51.PDF icon Bartha2013b.pdf (663.26 KB)
Bartha, L., Lasso A., Pinter C., Ungi T., & Fichtinger G. (2013).  Open-Source Surface Mesh-Based Ultrasound Simulator. CARS 2013. 8, 156.PDF icon Bartha2013c.pdf (107.52 KB)
Bartha, L., Lasso A., Pinter C., Ungi T., & Fichtinger G. (2013).  The Perk Tutor Training Platform Integrated with Simulated Ultrasound. 6th NCIGT and NIH Image Guided Therapy Workshop. PDF icon Bartha2013.pdf (708.53 KB)
Bartha, L., Lasso A., Pinter C., Ungi T., & Fichtinger G. (2013).  Open Source Ultrasound Simulation Using Surface Meshes. ImNO2013 - Imaging Network Ontario Symposium.
Baum, Z. M. C., Ungi T., Lasso A., Church B., Schlenger C., & Fichtinger G. (2018).  Ultrasound-based vertebral landmark localization using deformable spine models. 16th Annual Imaging Network Ontario Symposiuim. PDF icon Baum2018b.pdf (1.03 MB)PDF icon Baum2018b-Poster.pdf (961.09 KB)
Baum, Z. M. C., Ungi T., Lasso A., & Fichtinger G. (2017).  Real-Time, Tracked, Mobile Augmented Reality Display for Surgical Navigation: Usability Study on Simulated Patients. The 9th IGT Workshop. PDF icon Baum2017c.pdf (172.76 KB)
Baum, Z. M. C., Church B., Lasso A., Ungi T., Schlenger C., Borschneck D. P., et al. (2019).  Step-wise identification of ultrasound-visible anatomical landmarks for 3D visualization of scoliotic spine. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951, PDF icon Baum2019a.pdf (496 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.PDF icon Baum2018a.pdf (1.46 MB)
Baum, Z. M. C., Lasso A., Ungi T., & Fichtinger G. (2016).  Real-time self-calibration of a handheld augmented reality overlay system. 14th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Baum2016b.pdf (679.99 KB)
Baum, Z. M. C., Ungi T., Lasso A., & Fichtinger G. (2017).  Evaluation of a mobile, real-time, tracked augmented reality display for surgical navigation. 15th Annual Imaging Network Ontario Symposiuim. PDF icon Baum2017b.pdf (276.46 KB)
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)
Baum, Z. M. C. (2019).  AUGMENTED REALITY TRAINING PLATFORM FOR PLACEMENT OF NEUROSURGICAL BURR HOLES. School of Computing. Masters, PDF icon Baum2019c.pdf (2.56 MB)
Baum, Z. M. C., Lasso A., Ungi T., & Fichtinger G. (2016).  Real-time self-calibration of a tracked augmented reality display. SPIE Medical Imaging 2016. 9786, PDF icon Baum2016a.pdf (1.85 MB)
Baum, Z. M. C., Ryan S., Rae E., Lasso A., Ungi T., Levy R., et al. (2019).  Assessment of intraoperative neurosurgical planning with the Microsoft HoloLens. 17th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Baum2019b.pdf (162.89 KB)
Baum, Z. M. C., Lasso A., Ryan S., Ungi T., Rae E., Zevin B., et al. (2019).  Augmented reality training platform for neurosurgical burr hole localization. Journal of Medical Robotics Research. 4, 1942001-1 - 1942001-13.PDF icon Baum2020a.pdf (646.88 KB)
Beiko, D., Fuoco M., Ungi T., Siemens R., & Fichtinger G. (2014).  Percutaneous nephrostomy for dummies: electromagnetic needle guidance with tracked ultrasound snapshots in a simulation model. 2014 Annual Meeting of the American Urological Association.
Bell, C., McKaigney C., Holden M. S., Fichtinger G., & Rang L. (2017).  Sonographic accuracy as a novel tool for point of care ultrasound competency assessment. Academic Emergency Medicine Education and Training. 1, 316-324.PDF icon Bell2017a-Manuscript.pdf (1.3 MB)
Bibic, E., Baum Z. M. C., Harish V., Ungi T., Lasso A., & Fichtinger G. (2017).  PLUS Model Catalog: A library of 3D-printable models. 15th Annual Imaging Network Ontario Symposiuim. PDF icon Bibic2017a.pdf (256.64 KB)File Bibic2017a-Poster.pptx (6.07 MB)

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