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Items where Author is "Girard, Fantin"

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Number of items: 10.

G

Girard, F., Hurtut, T., Kavalec, C., & Cheriet, F. (2021). Atlas-based score for automatic glaucoma risk stratification. Computerized Medical Imaging and Graphics, 87, 101797 (15 pages). External link

Girard, F., Kavalec, C., & Cheriet, F. (2019). Joint segmentation and classification of retinal arteries/veins from fundus images. Artificial Intelligence in Medicine, 94, 96-109. External link

Girard, F. (2018). Modélisation statistique des structures anatomiques de la rétine à partir d'images de fond d'oeil [Ph.D. thesis, École Polytechnique de Montréal]. Available

Girard, F., Kavalec, C., & Cheriet, F. (2018). Statistical atlas-based descriptor for an early detection of optic disc abnormalities. Journal of Medical Imaging, 5(1), 014006 (14 pages). Available

Girard, F., & Cheriet, F. (2017, November). Artery/vein classification in fundus images using CNN and likelihood score propagation [Paper]. 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP 2017), Montréal, Québec. External link

Girard, F., Kavalec, C., Grenier, S., Ben Tahar, H., & Cheriet, F. (2016, March). Simultaneous macula detection and optic disc boundary segmentation in retinal fundus images [Paper]. Medical Imaging 2016: Image Processing, San Diego, CA, United states. External link

Girard, F., Kavalec, C., Tahar, H. B., & Cheriet, F. (2014, September). Uncertainty assessment of vessels width measurement from intensity profile model fitting in fundus images [Paper]. Ophthalmic Medical Image Analysis First International Workshop (OMIA 2014), Boston, MA, USA. External link

Girard, F., Benboujja, F., Parent, S., & Cheriet, F. (2010, February). Active self-calibration of thoracoscopic images for assisted minimally invasive spinal surgery [Paper]. Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, San Diego, California, USA. External link

Girard, F. (2009). Autocalibrage de séquences d'images thoracoscopiques [Master's thesis, École Polytechnique de Montréal]. Available

R

Royer-Rivard, R., Girard, F., Dahdah, N., & Cheriet, F. (2020, July). End-to-End Deep Learning Model for Cardiac Cycle Synchronization from Multi-View Angiographic Sequences [Paper]. 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2020), Montréal, Québec. External link

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