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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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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.
Francoeur, J., Lezcano, D., Zhetpissov, Y., Kashyap, R., Iordachita, I., & Kadoury, S. (2024, May). Fully Distributed Shape Sensing of a Flexible Surgical Needle Using Optical Frequency Domain Reflectometry for Prostate Interventions [Paper]. 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan. External link
Francoeur, J. (2023). Conception d'un capteur optique distribué pour la détection de forme des instruments médicaux en chirurgie minimalement invasive [Master's thesis, Polytechnique Montréal]. Restricted access
Francoeur, J., Roberge, A., Lorre, P., Monet, F., Wright, C., Kadoury, S., & Kashyap, R. (2023). Optical frequency domain reflectometry shape sensing using an extruded optical fiber triplet for intra-arterial guidance. Optics Express, 31(1), 396-410. External link
Francoeur, J., Roberge, A., Lorre, P., Monet, F., Wright, C., Kadoury, S., & Kashyap, R. (2022, July). Real-time 3D shape sensing with a random Fiber Bragg grating triplet [Paper]. Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES), Vancouver, British Columbia. External link
Svecic, A., Francoeur, J., Soulez, G., Monet, F., Kashyap, R., & Kadoury, S. (2023). Shape and Flow Sensing in Arterial Image Guidance From UV Exposed Optical Fibers Based on Spatio-Temporal Networks. IEEE Transactions on Biomedical Engineering, 70(5), 1692-703. External link
