Publications

Export 582 results:
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
B
Boctor, E., Iordachita I., Fichtinger G., & Hager G. D. (2005).  Ultrasound Self-Calibration and Real-Time Quality Control for Interventions. IEEE International Ultrasonics Symposium.
Boctor, E., Taylor R., Fichtinger G., & Choti M. (2003).  Robotically assisted intraoperative ultrasound with application to ablative therapy of liver cancer. (Galloway, Jr., R. L., Ed.).Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display. 5029, 281-291.PDF icon Boctor2003c.pdf (341.78 KB)
Boctor, E., Awad M., Fichtinger G., Taylor R., & Choti M. (2004).  Development of a Robotically-Assisted 3-D Ultrasound System for Radiofrequency Ablation of Liver Tumors. 6th World Congress of the Hepato-Pancreato-Biliary Association (IHPBA).
Boctor, E., Viswanathan A., Choti M., Taylor R., Fichtinger G., & Hager G. D. (2004).  A novel closed form solution for ultrasound calibration. Procedings IEEE International Symposium on Biomedical Imaging: Nano to Macro. 527–530.PDF icon Boctor2004.pdf (189.73 KB)
Boctor, E., Fichtinger G., Taylor R., & Choti M. (2003).  Tracked 3D ultrasound in radio-frequency liver ablation. (Walker, W. F., & Insana M. F., Ed.).Medical Imaging 2003: Ultrasonic Imaging and Signal Processing. 5035, 174-182.PDF icon Boctor2003a.pdf (236.57 KB)
Boctor, E., Fichtinger G., Yeung A., Awad M., Taylor R., & Choti M. (2004).  Robotic Strain Imaging for Monitoring Thermal Ablation of Liver Tumors. Proceedings in Lecture Notes in Computer Science. 3217, 81-88.PDF icon Boctor2004b.pdf (1.19 MB)
Blumenfeld, P., Hata N., DiMaio S., Zou K., Haker S., Fichtinger G., et al. (2007).  Transperineal prostate biopsy under magnetic resonance image guidance: a needle placement accuracy study. Journal of magnetic resonance imaging. 26, 688–694.PDF icon Blumenfeld2007.pdf (393.43 KB)
Blevins, J., Tokuda J., Cormack R., Lee J., Kuo N., Prince J. L., et al. (2011).  RadVision: An Image-Guided Brachytherapy Planning/Implant Tool with Extensible Image Acquisition/Processing. 4th NCIGT and NIH Image Guided Therapy Workshop. 4,
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)
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)
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.
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).  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. (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., 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., 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., 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., Ryan S., Ungi T., Rae E., Zevin B., et al. (In Press).  Augmented reality training platform for neurosurgical burr hole localization. Journal of Medical Robotics Research. PDF icon Baum2020a.pdf (646.88 KB)
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., 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)
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.

Pages