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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
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., 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
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
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
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
