Publications

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Ungi, T., Greer H., Sunderland K. R., Wu V., Baum Z. M. C., Schlenger C., et al. (2020).  Automatic spine ultrasound segmentation for scoliosis visualization and measurement. IEEE Transactions on Biomedical Engineering. 67, 3234 - 3241.PDF icon Ungi2020.pdf (676.48 KB)
Wu, V., Ungi T., Sunderland K. R., Pigeau G., Schonewille A., & Fichtinger G. (2020).  Automatic segmentation of spinal ultrasound landmarks with U-net using multiple consecutive images for input. SPIE Medical Imaging. PDF icon Wu2020a.pdf (292.4 KB)
Cleary, K., Xu S., Fichtinger G., & Glossop N. (2001).  Automatic registration for percutaneous vertebral body tracking. International Congress Series. 1230, 1215 - 1216.PDF icon Cleary2001.pdf (35.05 KB)
Foroughi, P., Taylor R. H., & Fichtinger G. (2008).  Automatic initialization for 3D bone registration. (Miga, M. I., & Cleary K., Ed.).Medical Imaging 2008: Visualization, Image-guided Procedures, and Modeling. 6918, 69182P.PDF icon Foroughi2008b.pdf (593.71 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)
Moult, E., E. Burdette C., Song D. Y., Abolmaesumi P., Fichtinger G., & Fallavollita P. (2011).  Automatic C-arm Pose Estimation via 2D/3D Hybrid Registration of a Radiographic Fiducial. (Wong, K. H., & Holmes, III D. R., Ed.).SPIE Medical Imaging. 7964, 79642S.PDF icon Moult2011a.pdf (688.13 KB)
Vikal, S., Jain A. K., Degeut A., Song D. Y., & Fichtinger G. (2006).  Automated Segmentation of Radiographic Fiducials for C-Arm Tracking. Journal of Medical Physics. 33, 2208-2208.PDF icon Vikal2006.pdf (4.07 MB)
Barr, K., Laframboise J., Ungi T., Hookey L., & Fichtinger G. (2020).  Automated segmentation of computed tomography colonography images using a 3D U-Net. SPIE Medical Imaging.
Chen, T. K., Heffter T., Lasso A., Pinter C., Abolmaesumi P., E. Burdette C., et al. (2011).  Automated Intraoperative Calibration for Prostate Cancer Brachytherapy. Medical Physics. 38, 6285-6299.PDF icon Chen2011.pdf (1.81 MB)
Aboofazeli, M., Fichtinger G., & Abolmaesumi P. (2008).  Automated curved needle segmentation in three-dimensional ultrasound images. Proceedings of Workshop on Needle Steering: Recent Results and Future Opportunities, a Satellite Workshop of International Conference on Medical Image Computing and Computer Assisted Intervention.
Aboofazeli, M., Fichtinger G., & Abolmaesumi P. (2008).  Automated curved needle segmentation in three-dimensional ultrasound images. 7th Imaging Symposium of the Imaging Network of Ontario.
Kitner, N., Rodgers J. R., Ungi T., Korzeniowski M., Olding T., Joshi C.P., et al. (2022).  Automated Catheter Segmentation in 3D Ultrasound Images from High-Dose-Rate Prostate Brachytherapy. Imaging Network Ontario (IMNO) 2022 Symposium .
Kitner, N., Rodgers J. R., Ungi T., Olding T., Joshi C.P., Mousavi P., et al. (2022).  Automated catheter localization in ultrasound images from High-dose-rate prostate brachytherapy using deep learning and feature extraction. Canadian Association for Radiation Oncologists (CARO) Annual Scientific Meeting.
Ogilvie, C., Martin C., Law T., Vandersleen P., Pinter C., Rankin A., et al. (2013).  Automated Brachytherapy Calibration: System and Phantom Design. ImNO2013 - Imaging Network Ontario Symposium. PDF icon Ogilvie2013.pdf (91.51 KB)PDF icon Ogilvie2013-poster.pdf (399.14 KB)
Kitner, N., Rodgers J. R., Ungi T., Korzeniowski M., Olding T., Joshi C.P., et al. (2022).  Automated Automatic catheter modelling in 3D transrectal ultrasound images from high-dose-rate prostate brachytherapy using a deep learning and feature extraction pipeline. Canadian Organization of Medical Physicists (COMP) Annual Scientific Meeting.
Fritz, J., U-Thainual P., Ungi T., Flammang A. J., Fichtinger G., Iordachita I., et al. (2012).  Augmented Reality Visualization with Use of Image Overlay Technology for MR Imaging–guided Interventions: Assessment of Performance in Cadaveric Shoulder and Hip Arthrography at 1.5 T. Radiology. 265, 254-259.PDF icon 254.full__0.pdf (1014.02 KB)
Fritz, J., U-Thainual P., Ungi T., Flammang A. J., Fichtinger G., Iordachita I., et al. (2012).  Augmented Reality Visualization Using Image-Overlay for MR-guided Interventions: Performance Assessment of Paravertebral Sympathetic Perineural Injections in Cadavers at 1.5 Tesla. CARS 2012 Computer Assisted Radiology and Surgery. S509-S511.PDF icon 227A_Abstract_Fritz.pdf (78.1 KB)
Fritz, J., U-Thainual P., Ungi T., Flammang A. J., Cho N. Bongjoon, Fichtinger G., et al. (2012).  Augmented Reality Visualization Using Image-Overlay for MR-Guided Interventions: Accuracy for Lumbar Spinal Procedures with a 1.5-Tesla MRI scanner.. American Journal of Roentgenology. 198, W266-73.PDF icon W266.full_.pdf (1.03 MB)
Fritz, J., U-Thainual P., Ungi T., Flammang A. J., Cho N. Bongjoon, Fichtinger G., et al. (2011).  Augmented reality visualization using image-overlay for MR-guided interventions: assessment of accuracy for lumbar spinal procedures with a 1.5-Tesla MRI scanner. CIRSE 2011.
Fritz, J., U-Thainual P., Ungi T., Flammang A. J., Cho N. Bongjoon, Fichtinger G., et al. (2011).  Augmented Reality Visualization Using Image-overlay for MR-guided Interventions: Assessment of Performance in Cadaveric Shoulder and Hip Arthrography. RSNA 97th Scientific Assembly and Annual Meeting. PDF icon 254.full_.pdf (1014.02 KB)
Fritz, J., U-Thainual P., Ungi T., Flammang A. J., McCarthy EF., Fichtinger G., et al. (2013).  Augmented Reality Visualization Using Image Overlay Technology for MR-Guided Interventions: Cadaveric Bone Biopsy at 1.5 T. Investigative Radiology. 48, PDF icon Fritz2013b.pdf (1.15 MB)
Weiss, C., R.Marker D., Fischer G., Fichtinger G., Machado A. J., & Carrino J. A. (2011).  Augmented Reality Visualization for MR-guided Interventions using "Image Overlay": System Description, Feasibility, and Initial Evaluation in a spine phantom. American Journal of Roentgenology. 196, W305 - W307.PDF icon W305.full_.pdf (699.73 KB)

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