Publications

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2019
Asselin, M., Kaufmann M., Wiercigroch J., Ungi T., Lasso A., Rudan J., et al. (2019).  Navigated real-time molecular analysis in the operating theatre, demonstration of concept. SPIE Medical Imaging 2019.
Pinter, C., Lasso A., & Fichtinger G. (2019).  Polymorph Segmentation Representation for Medical Image Computing. Computer Methods and Programs in Biomedicine. 171, 19-26.PDF icon Pinter2019_Manuscript.pdf (707.26 KB)
Perrin, S., Baum Z. M. C., Asselin M., Underwood G., Choueib S., Lia H., et al. (2019).  Reproducibility of freehand calibrations for ultrasound-guided needle navigation. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951, PDF icon Perrin2019a.pdf (686.56 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)
Pinter, C., Lasso A., Asselin M., Fillion-Robin J-C., Vimort J-B., Martin K., et al. (2019).  SlicerVR for image-guided therapy planning in immersive virtual reality. The 12th Hamlyn Symposium on Medical Robotics, 23-26 June 2019, Imperial College, London, UK. 91-92.PDF icon Pinter2019a.pdf (348.83 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)
Wu, V., Ungi T., & Fichtinger G. (2019).  Using Deep Learning for Transverse Process Detection in Spinal Ultrasounds. 17th Annual Imaging Network Ontario Symposium (ImNO). PDF icon Wu2019a.pdf (158.09 KB)
Isen, J., Hisey R., Ungi T., & Fichtinger G. (2019).  Utilizing a convolutional neural network for tool detection in central venous catheterization. 33rd International Congress & Exhibition on Computer Assisted Radiology and Surgery (CARS). PDF icon Isen2019b.pdf (129.5 KB)
2020
Choi, P. S., Nam H. H., Lasso A., Herz C., Drouin S., Harrild D. M., et al. (2020).  3D Modeling of Surgically Implanted Stent-Based Valves in the Mitral Position in Children. The Annals of Thoracic Surgery.
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.
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)
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)
Connolly, L., Jamzad A., Kaufmann M., Rubino R., Sedghi A., Ungi T., et al. (2020).  Classification of tumor signatures from electrosurgical vapors using mass spectrometry and machine learning: a feasibility study. Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions and Modeling. 11315, PDF icon Connolly2020a.pdf (823.25 KB)
Wiercigroch, J., Hashtrudi-Zaad K., Ungi T., Bisleri G., & Fichtinger G. (2020).  Force and torque feedback in endoscopic vessel harvesting. Medical Imaging 2020: Image-Guided Procedures, Robotic Inverventions and Modeling. 11315, PDF icon Wiercigroch2020a.pdf (401.53 KB)
Gauvin, G., Yeo C. T., Ungi T., Merchant S., Lasso A., Jabs D., et al. (2020).  Real‐time electromagnetic navigation for breast‐conserving surgery using NaviKnife technology: A matched case‐control study. The Breast Journal. 26, 399-405.
Hisey, R., Chen B., Camire D., Erb J., Howes D., Fichtinger G., et al. (2020).  Recognizing workflow tasks in central venous catheterization using convolutional neural networks and reinforcement learning. International Conference on Computer Assisted Radiology and Surgery. 94-95.PDF icon RHisey_CARS_2020.pdf (152.24 KB)
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)
Pinter, C., Lasso A., Choueib S., Asselin M., Fillion-Robin J-C., Vimort J-B., et al. (2020).  SlicerVR for Medical Intervention Training and Planning in Immersive Virtual Reality. IEEE Transactions on Medical Robotics and Bionics. 2, 108-117.PDF icon Pinter2020.pdf (521.6 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)
Pinter, C., Olding T., L. Schreiner J., & Fichtinger G. (2020).  Using Fuzzy Logics to Determine Optimal Oversampling Factor for Voxelizing 3D Surfaces in Radiation Therapy. Soft Computing. PDF icon Pinter2020a.pdf (713.06 KB)
Wu, V., Ungi T., Sunderland K. R., Pigeau G., Schonewille A., & Fichtinger G. (2020).  Using multiple frame U-net for automated segmentation of spinal ultrasound images. 18th Annual Imaging Network Ontario (ImNO) Symposium. PDF icon Wu2020b.pdf (133.02 KB)
2021
Hisey, R., Camire D., Erb J., Howes D., Fichtinger G., & Ungi T. (2021).  Central Line Tutor: using computer vision workflow recognition in a central venous catheterization training system. Imaging Network of Ontario Symposium. PDF icon RHisey_ImNO2021.pdf (190.87 KB)
Connolly, L., Jamzad A., Kaufmann M., Farquharson C. E., Ren K., Rudan J. F., et al. (2021).  Combined Mass Spectrometry and Histopathology Imaging for Perioperative Tissue Assessment in Cancer Surgery. Journal of Imaging. 7,
Fauerbach, P. V. Nasute, Tyryshkin K., Rodrigo S. Perez, Rudan J., Fichtinger G., Reedijk M., et al. (2021).  Lack of definitive presurgical pathological diagnosis is associated with inadequate surgical margins in breast-conserving surgery. European Journal of Surgical Oncology.
O'Driscoll, O., Hisey R., Camire D., Erb J., Howes D., Fichtinger G., et al. (2021).  Object detection to compute performance metrics for skill assessment in central venous catheterization. SPIE Medical Imaging. PDF icon ODriscoll2021a.pdf (322.11 KB)

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