Baum, Z. M. C., Lasso A., Ryan S., Ungi T., Rae E., Zevin B., et al. (2019).  Augmented reality training platform for neurosurgical burr hole localization. Journal of Medical Robotics Research. 4, 1942001-1 - 1942001-13.

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Baum2020a.pdf (646.88 KB)

Hisey, R., Ungi T., Camire D., Erb J., Howes D., & Fichtinger G. (2019).  Comparison of convolutional neural networks for central venous catheterization tool detection. Imaging Network of Ontario Symposium.

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RHisey_ImNO2019.pdf (464.16 KB)

Lund, S., Vaughan T., Ungi T., Lasso A., Asselin M., Yeo C., et al. (2019).  Controlling virtual views in navigated breast conserving surgery. SPIE Medical Imaging 2019.

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Wu, V., Asselin M., Ungi T., & Fichtinger G. (2019).  Detection of Spinal Ultrasound Landmarks Using Convolutional Neural Networks. 33rd International Congress & Exhibition on Computer Assisted Radiology and Surgery (CARS). 14,

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Wu2019b.pdf (213.21 KB)

Nguyen, A. V., Lasso A., Nam HH., Faerber J., Aly A. H., Pouch A. M., et al. (2019).  Dynamic Three-Dimensional Geometry of the Tricuspid Valve Annulus in Hypoplastic Left Heart Syndrome with a Fontan Circulation. Journal of the American Society of Echocardiography.

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Lasso, A., Pinter C., Choueib S., Ungi T., & Fichtinger G. (2019).  Enhance medical software applications with immersive virtual reality experience. Techna Symposium.

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Lasso2019.pdf (1.05 MB)

Choueib, S., Pinter C., Lasso A., Fillion-Robin J-CC., 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,

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Choueib2019a.pdf (746.97 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,

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Connolly2019a.pdf (877.7 KB)

House, R., Kunz M., Valiquette C., Lasso A., Ungi T., Rudan J., et al. (2019).  Monitoring volume changes for breast reconstruction surgery using three dimensional optical surface scanning. Canadian Society of Plastic Surgeons (CSPS) Annual Meeting.

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House2019a-manuscript.pdf (372.2 KB)

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.

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Vaughan, T., Brastianos H., Ungi T., Lasso A., Falkson C., & Fichtinger G. (2019).  Needle Navigation and Catheter Reconstruction for Breast Brachytherapy Using Open Source Software. Acta Polytechnica Hungarica. 16, 99-118.

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Vaughan2019a.pdf (3.42 MB)

Pinter, C., Lasso A., & Fichtinger G. (2019).  Polymorph Segmentation Representation for Medical Image Computing. Computer Methods and Programs in Biomedicine. 171, 19-26.

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Pinter2019_Manuscript.pdf (707.26 KB)

Laframboise, J., Ungi T., Lasso A., Asselin M., Holden M., Tan P., et al. (2019).  Quantifying the effect of patient position on the curvature of colons. 17th Annual Imaging Network Ontario Symposium (ImNO).

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Laframboise2019b.pdf (198.44 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,

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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).

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Isen2019a.pdf (3.12 MB)

Pinter, C., Lasso A., Asselin M., Fillion-Robin J-CC., 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.

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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,

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Baum2019a.pdf (496 KB)

Lia, H., Baum Z. M. C., Vaughan T., Ungi T., McGregor T., & Fichtinger G. (2019).  Usability and accuracy of an electromagnetically tracked partial nephrectomy navigation system. 17th Annual Imaging Network of Ontario Symposium (ImNO).

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Lia2019a.pdf (164.12 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).

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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).

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Isen2019b.pdf (129.5 KB)

Wiercigroch, J., Baum Z. M. C., Ungi T., Fritz J., & Fichtinger G. (2019).  Validation of a low-cost adjustable, handheld needle guide for spine interventions. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951,

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Wiercigroch2019a.pdf (391.96 KB)

García-Mato, D., Holden M., Lasso A., Szulewski A., Pascau J., & Fichtinger G. (2018).  3D Gaze tracking for skill assessment in ultrasound-guided needle insertions. Computer Assisted Radiology and Surgery, 32nd International Congress and Exhibition. 13(Supplement 1), S52-S53.

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Ilina, A., Pinter C., Lasso A., Lai I., Joshi C.P., Alexander K., et al. (2018).  3D Surface Scanning for Tumour Localization in Non-Melanoma Skin Cancer. 16th Annual Imaging Network Ontario Symposium (ImNO).

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Ilina2018a.pdf (110.48 KB) Ilina2018a-poster.pdf (689.19 KB)

Rae, E., Lasso A., Holden M., Morin E., Levy R., & Fichtinger G. (2018).  Accuracy of the Microsoft HoloLens for neurosurgical burr hole placement. 16th Annual Imaging Network Ontario Symposium (ImNO).

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Rae2018b.pdf (180.54 KB)

Hisey, R., Ungi T., Holden M., Baum Z. M. C., Keri Z., McCallum C., et al. (2018).  Assessment of the use of webcam based workflow detection for providing real-time feedback in central venous catheterization training. Imaging Network Ontario (IMNO).

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Rebecca_ImNO2018_07.pdf (312.14 KB)