Publications

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Carbajal, G., Lasso A., Gómez Á., & Fichtinger G. (2013).  Improving N-Wire Phantom-based Freehand Ultrasound Calibration. IJCARS. 8, 1063-1072.PDF icon Carbajal2013c-manuscript.pdf (894.95 KB)
Carbajal, G., Gómez Á., Fichtinger G., & Ungi T. (2015).  Portable Optically Tracked Ultrasound System for Scoliosis Measurement. Recent Advances in Computational Methods and Clinical Applications for Spine Imaging (MICCAI 2014). 20, 37-46.PDF icon Carbajal2015.pdf (209.38 KB)
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,
Carter, K., Lasso A., Ungi T., Morin E., & Fichtinger G. (2015).  Current sensing for navigated electrosurgery . 13th Imaging Network of Ontario Symposium (ImNO 2015). 37.File Carter2015b-slides.pptx (935.35 KB)File Carter2015b-poster.pptx (841.73 KB)PDF icon Carter2015b.pdf (148.88 KB)
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.PDF icon Carter2015a.pdf (123.23 KB)File Carter2015a-poster.pptx (3.24 MB)File Carter2015a-slides.pptx (21.62 MB)
Chang, J., Wen B., Kazanzides P., Zanzonico P., Finn R. D., Fichtinger G., et al. (2009).  A robotic system for [sup 18]F-FMISO PET-guided intratumoral pO[sub 2] measurements. Medical Physics. 36, 5301-5309.PDF icon Chang2009.pdf (717.56 KB)
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)
Chin, L., Wronski M., Livergant J., Agbanti A., Yohan D., Balogh J., et al. (2013).  Integration of SlicerRT into the Radiation Therapy Clinical Workflow. ImNO2013 - Imaging Network Ontario Symposium. PDF icon Chin2013.pdf (73.58 KB)
Chintalapani, G., Jain A. K., Burkhardt D., Prince J. L., & Fichtinger G. (2008).  CTREC - C-arm tracking and reconstruction using elliptic curves. International Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA). PDF icon Chintalapani2008a.pdf (297.91 KB)
Chintalapani, G., Jain A. K., Burkhardt D., Prince J. L., & Fichtinger G. (2008).  CTREC: C-arm tracking and reconstruction using elliptic curves. Procedings IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPR Workshops 2008. 1–7.PDF icon Chintalapani2008.pdf (297.91 KB)
Choueib, S., Pinter C., Lasso A., Fillion-Robin J-C., Vimort J-B., Martin K., et al. (2019).  Evaluation of 3D Slicer as a medical virtual reality visualization platform. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951, PDF icon Choueib2019a.pdf (746.97 KB)
Choueib, S., Pinter C., Lasso A., Fillion-Robin J-C., Vimort J-B., Martin K., et al. (2019).  Assessment of immersive medical virtual reality visualization using 3D Slicer. 17th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Choueib2019b.pdf (314.46 KB)
Chowning, S., Susil R., Krieger A., Fichtinger G., Whitcomb L. L., & Atalar E. (2006).  A preliminary analysis and model of prostate injection distributions. The Prostate. 66, 344–357.PDF icon Chowning2006.pdf (683.56 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)
Church, B. (2018).  Scoliosis visualization using ultrasound data. School of Computing. MSc, PDF icon Church_Benjamin_D_201804_MSc.pdf (4.12 MB)
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. PDF icon Church2017a.pdf (814.95 KB)
Cifuentes, J., Kirby N., Lasso A., Chin L., Pinter C., Pouliot J., et al. (2014).  Customized deformable image registration using open-source software SlicerRT. American Association Physicists in Medicine (AAPM). 41 (abstract in Medical Physics),
Cifuentes, J., Vorauer E., Le P., Glick D., Livergant J., Pinter C., et al. (2014).  Integration of SlicerRT into the clinical adaptive radiation therapy workflow: deformable image registration algorithm optimization and validation. ImNO 2014. 66.
Cleary, K., Davies B., Fichtinger G., Troccaz J., Lueth T., & Watson V. (2004).  Medical Robotics workshop–MRWS. Journal of Computer Aided Surgery. 9, 167–171.PDF icon Cleary2004.pdf (94.14 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)
Cleary, K., Watson V., Lindisch D., Taylor R., Fichtinger G., Xu S., et al. (2005).  Precision placement of instruments for minimally invasive procedures using a "needle driver" robot. international journal of medical robotics computer assisted surgery MRCAS. 1, 40–47.PDF icon Cleary2005.pdf (378.2 KB)
Clinkard, D., Moult E., Holden M. S., Davison C., Ungi T., Fichtinger G., et al. (2015).  Assessment of Lumbar Puncture Skill in Experts and Nonexperts Using Checklists and Quantitative Tracking of Needle Trajectories: Implications for Competency-Based Medical Education. Teaching and Learning in Medicine. 27, 51-56.
Clinkard, D., Holden M. S., Ungi T., Messenger D., Fichtinger G., & McGraw R. C. (2015).  The Development and Validation of Hand Motion Analysis to Evaluate Competency in Central Line Catheterization. Academic Emergency Medicine. 22, 212-218.
Coleman, J., Susil R., Krieger A., Choyke P., Wise B., Thomasson D., et al. (2004).  Technique and Accuracy of a Clinical System for Transrectal Intraprostatic Needle Placement in a Standard 1 5T MRI Scanner. American Urological Association. PDF icon Coleman2004.pdf (332.69 KB)
Connolly, L., Ungi T., Lasso A., Vaughan T., Asselin M., Mousavi P., et al. (2019).  Mechanically-Controlled Spectroscopic Imaging for Tissue Classification. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951, PDF icon Connolly2019a.pdf (877.7 KB)

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