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-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.

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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)

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)

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)

House, R., Lasso A., Kunz M., Rudan J., Martou G., & Fichtinger G. (2018).  Breast volume measurement using three-dimensional surface scan for fat grafting planning and monitoring. CARS.

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House2018a.pdf (636.52 KB)

Holden, M. S., Lia H., Xia S., Keri Z., Ungi T., & Fichtinger G. (2018).  Configurable Overall Skill Assessment in Ultrasound-Guided Needle Insertion. 16th Annual Imaging Network Ontario Symposium (ImNO).

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Holden2018b.pdf (300.32 KB)

Lia, H., Paulin G., Yeo C. T., Andrews J., Yi N., Haq H., et al. (2018).  HoloLens in Suturing Training. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling.

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Lia2018a.pdf (528.89 KB)

Lasso, A., Nam HH., Dinh PV., Pinter C., Fillion-Robin J-CC., Pieper S., et al. (2018).  Interaction with Volume-Rendered Three-Dimensional Echocardiographic Images in Virtual Reality. J Am Soc Echocardiogr. 31, 1158-60–.

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Rae, E., Lasso A., Holden M. S., Morin E., Levy R., & Fichtinger G. (2018).  Neurosurgical burr hole placement using the Microsoft HoloLens. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. 10576, 105760T.

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Rae2018a.pdf (491.34 KB)

Holden, M. S., Wang C., MacNeil K., Church B., Hookey L., Fichtinger G., et al. (2018).  Objective assessment of colonoscope manipulation skills in colonoscopy training. International Journal of Computer Assisted Radiology and Surgery. 13, 105-114.

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Holden2018a.pdf (1.04 MB)

Pinter, C., Travers B., Baum Z. M. C., Ungi T., Lasso A., Church B., et al. (2018).  Real-time transverse process delineation in tracked ultrasound for scoliosis measurement. Imaging Network Ontario Symposium (ImNO 2018).

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Pinter2018a.pdf (125.23 KB)

Pinter, C., Travers B., Baum Z. M. C., Kamali S., Ungi T., Lasso A., et al. (2018).  Real-time transverse process detection in ultrasound. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling.

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Pinter2018.pdf (297.47 KB)

Hisey, R., Ungi T., Holden M. S., Baum Z. M. C., Keri Z., McCallum C., et al. (2018).  Real-time workflow detection using webcam video for providing real-time feedback in central venous catheterization training. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling.

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RHisey_SPIE2018_Full_02.pdf (749.23 KB)

Holden, M. S., Zhao Y., Haegelen C., Essert C., Fernanez-Vidal S., Bardinet E., et al. (2018).  Self-guided training for deep brain stimulation planning using objective assessment. International Journal of Computer Assisted Radiology and Surgery. 13, 1129-1139.

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Alexander, K., Pinter C., Fichtinger G., Olding T., & L. Schreiner J. (2018).  Streamlined open-source gel dosimetry analysis in 3D slicer. Biomedical Physics & Engineering Express. 4, 045041.

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Alexander2018.pdf (3.13 MB)

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.

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Ilina2018b.pdf (153.33 KB)

Asselin, M., Lasso A., Ungi T., & Fichtinger G. (2018).  Towards webcam-based tracking for interventional navigation. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling.

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Asselin2018a.pdf (429.19 KB)

Baum, Z. M. C., Ungi T., Lasso A., Church B., Schlenger C., & Fichtinger G. (2018).  Ultrasound-based vertebral landmark localization using deformable spine models. 16th Annual Imaging Network Ontario Symposiuim.

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Baum2018b.pdf (1.03 MB) Baum2018b-Poster.pdf (961.09 KB)