Publications

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Conference Abstract
Fichtinger, G., Siemens R., Holden M. S., Ungi T., Beiko D., Fuoco M., et al. (2014).  Tracked ultrasound snapshots improve the performance of novices in simulated percutaneous nephrostomy. Imaging Network Ontario Symposium.
Soehl, M., Walsh R., Rankin A., Lasso A., & Fichtinger G. (2014).  Tracked ultrasound calibration studies with a phantom made of LEGO® bricks. 12th Annual Imaging Network Ontario Symposium. PDF icon Soehl2014a-manuscript.pdf (223.24 KB)
Seifabadi, R., Iordachita I., & Fichtinger G. (2012).  Towards teleoperated needle steering in MRI-guided prostate interventions. 9th Interventional MRI Symposium (IMRI 2012). PDF icon Abstract_Reza_Final_1.pdf (55.1 KB)
Fedorov, A., Lasso A., Moradi M., Song S-E., Neubauer E., Owen R., et al. (2013).  Towards Open Source Infrastructure for Joint MRI/TRUS Guided Prostate Interventions. 6th Image Guided Therapy Workshop. 6, 67.PDF icon Fedorov2013.pdf (2.2 MB)
King, F., Lasso A., Pinter C., & Fichtinger G. (2014).  A tool for intraoperative visualization of image registration results. Imaging Network Ontario 2014. PDF icon King2014b-poster.pdf (1.03 MB)
Moult, E., Ungi T., Pinter C., Welch M., Lasso A., & Fichtinger G. (2013).  Temporal calibration of tracked ultrasound. ImNO2013 - Imaging Network Ontario Symposium. PDF icon Moult2013b.pdf (100.25 KB)PDF icon Moult2013b-poster.pdf (202.31 KB)
U-Thainual, P., Iordachita I., Vikal S., & Fichtinger G. (2009).  Teaching Aid for Computer-Assisted Surgery. Eastern Ontario Symposium for Educational Technology. PDF icon EOSET2009_The Perk Station abstract.pdf (303.71 KB)
Xu, H., Lasso A., Fedorov A., Tempany C. M., & Fichtinger G. (2014).  Target Localization in MRI-guided Transperineal Prostate Biopsy using Multi-Slice-to-Volume Registration. ImNO 2014. 44.
Ilina, A., Pinter C., Lasso A., Lai I., Joshi C., Alexander K., et al. (2018).  Target Definition with 3D Surface Scanning for Orthovoltage Radiation Therapy Planning. CARS. PDF icon Ilina2018b.pdf (153.33 KB)
MacNeil, K., Wang C., Holden M. S., Ungi T., Fichtinger G., & Hookey L. (2016).  System for objectively evaluating colonoscopy procedural skills using motion analysis. 14th Annual Imaging Network Ontario Symposium (ImNO).
Lasso, A., & Fichtinger G. (2011).  System design of adaptive image-guided percutaneous needle intervention software using open source components. ImNO2011 - Imaging Network Ontario Symposium. 45.PDF icon Lasso2011a.pdf (116.73 KB)
O'Driscoll, O., Hisey R., Camire D., Erb J., Howes D., Fichtinger G., et al. (2021).  Surgical tool tracking with object detection for performance assessment in central venous catheterization. Imaging Network of Ontario Symposium. PDF icon ODriscoll2021b.pdf (151.14 KB)
Song, S. Sang- Eun, Cho N. Bongjoon, Iordachita I., Guion P., Fichtinger G., & Whitcomb L. L. (2011).  A study of needle image artifact localization in confirmation imaging of MRI-guided robotic prostate biopsy. 2011 IEEE International Conference on Robotics and Automation (ICRA). 4834 - 4839.PDF icon Song2011d.pdf (1.07 MB)
Pinter, C., Lasso A., Wang A., & Fichtinger G. (2012).  SlicerRT – Radiotherapy toolkit for 3D Slicer. ImNO2012 - Imaging Network Ontario Symposium. PDF icon Pinter2012.pdf (56.24 KB)PDF icon Pinter2012-poster.pdf (572.28 KB)
Pinter, C., Lasso A., Wang A., Jaffray D., & Fichtinger G. (2012).  SlicerRT - Radiation therapy research toolkit for 3D Slicer. Medical Physics. 39, 6332/7.PDF icon Pinter2012-manuscript.pdf (676.7 KB)PDF icon Pinter2012.pdf (1.56 MB)
Pinter, C., Lasso A., Wang A., Jaffray D., & Fichtinger G. (2013).  SlicerRT – Radiation therapy research toolkit for 3D Slicer. ImNO2013 - Imaging Network Ontario Symposium. PDF icon Pinter_ImNO2013_SlicerRT.pdf (318.14 KB)
Ungi, T., Lasso A., Pinter C., Rankin A., & Fichtinger G. (2013).  SlicerIGT: Open-source platform for image-guided needle interventions. ImNO2013 - Imaging Network Ontario Symposium. PDF icon Ungi2013a.pdf (574.62 KB)
Andrea, J., Welch M., Pinter C., Alexander K., Schreiner J., & Fichtinger G. (2014).  Slicelet implementation for gel dosimetry analysis. 12th Imaging Network Ontario Symposium (ImNO 2014). 63.PDF icon Andrea2014a.pdf (119.94 KB)
Church, B. (2017).  Scoliosis visualization using transverse process landmarks. (Lasso, A., Schlenger C., Borschneck D. P., Mousavi P., Fichtinger G., & Ungi T., Ed.).15th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Church2017b.pdf (165.6 KB)PDF icon Church2017b-poster.pdf (872.64 KB)
Soehl, M., Holden M. S., Lasso A., & Fichtinger G. (2015).  Scalable Ultrasound Calibration Phantoms Made From LEGO® Bricks. Computer Assisted Radiology and Surgery, 29th International Congress and Exhibition. 10(Supplement 1), S218-S219.PDF icon Soehl2015a-Abstract.pdf (195.18 KB)Office presentation icon Soehl2015a-Poster.ppt (766.5 KB)
Lasso, A., Alexander K., Jechel C., Wang K., Schreiner J., & Fichtinger G. (2014).  Running Matlab functions in 3D Slicer using MatlabBridge. ImNO 2014. 78.PDF icon Lasso2014b-manuscript.pdf (280.69 KB)PDF icon Lasso2014b-poster.pdf (771.29 KB)
Song, S. Sang- Eun, Seifabadi R., Krieger A., Tokuda J., Fichtinger G., & Iordachita I. (2011).  Robotic System for MRI-guided Prostate Intervention: Feasibility Study of Tele-operated Needle Insertion. Computer Aided Radiology and Surgery (CARS). PDF icon CARS 2011 Abstract.pdf (258.75 KB)
Isen, J., Hisey R., Ungi T., & Fichtinger G. (2019).  Retraining MobileNet with highly variable data for tool detection in central venous catheterization. 17th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Isen2019a.pdf (3.12 MB)
Hisey, R., Chen B., Ungi T., Camire D., Erb J., Howes D., et al. (2020).  Reinforcement learning approach for video-based task recognition in central venous catheterization. Imaging Network of Ontario Symposium. PDF icon RHisey_ImNO2020.pdf (399.33 KB)
Holden, M. S., Keri Z., Ungi T., Yeo C., Ring J., Fichtinger G., et al. (2017).  Reducing Cost and Complexity in Computer-Assisted Training for Lumpectomy. William Ersil Resident Research Day. PDF icon Holden2017c.pdf (60.83 KB)PDF icon Holden2017c-poster.pdf (681.31 KB)

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