Marker, D. R., U-Thainual P., Ungi T., Flammang A. J., Fichtinger G., Iordachita I., et al. (In Press).  1.5 Tesla augmented reality navigated interventional magnetic resonance imaging: paravertebral sympathetic plexus injections. Diagnostic and Interventional Radiology.

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Yeo, C. T., MacDonald A., Ungi T., Lasso A., Jalink D., Fichtinger G., et al. (In Press).  3D Segmentation as a Surgical Planning Tool for Residents in Liver Resection Surgery. 2017 International Conference on Residency Education (ICRE).

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Choueib, S., Pinter C., Lasso A., Fillion-Robin J-C., Vimort J-B., Martin K., et al. (In Press).  Assessment of immersive medical virtual reality visualization using 3D Slicer. Imaging Network Ontario (ImNO).

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Choueib2019b.pdf (314.46 KB)

Brastianos, H., Vaughan T., Lasso A., Westerland M., Gooding J., Fichtinger G., et al. (In Press).  Electromagnetic Reconstruction of Catheter Paths in Mult-Catheter Interstitial Brachytherapy: A Phantom Model.. Canadian Association of Radiation Oncology (CARO) Annual Scientific Meeting.

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Choueib, S., Pinter C., Lasso A., Fillion-Robin J-C., Vimort J-B., Martin K., et al. (In Press).  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)

Laframboise, J., Ungi T., Lasso A., Asselin M., Holden M. S., Tan P., et al. (2019).  Analyzing the curvature of the colon in different patient positions. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951,

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Laframboise2019a.pdf (400.26 KB)

Baum, Z. M. C., Ryan S., Rae E., Lasso A., Ungi T., Levy R., et al. (2019).  Assessment of intraoperative neurosurgical planning with the Microsoft HoloLens. 17th Annual Imaging Network Ontario Symposium (ImNO).

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Baum2019b.pdf (162.89 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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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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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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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.pdf (1.4 MB)

Laframboise, J., Ungi T., Lasso A., Asselin M., Holden M. S., 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)

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. S., 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., 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. S., 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. S., 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)

Lia, H., Paulin G., Yeo C. T., Andrews J., Yi N., Haq H., et al. (2018).  Basic suturing training using Microsoft HoloLens. ImNO 2018.

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Lia2018b.pdf (158.05 KB)

House, R., Lasso A., Kunz M., Rudan J., Martou G., & Fichtinger G. (2018).  Breast volume computation for planning and monitoring fat grafting. Imaging Network Ontario (IMNO).

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House2018b.pdf (140.11 KB)