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A 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.
Attendu, X., Crunelle, C., Poinsinet De Sivry-Houle, M., Maubois, B., Urbain, J., Turrell, C., Strupler, M., Godbout, N., & Boudoux, C. (2018, January). Towards combined optical coherence tomography and hyper-spectral imaging for gastrointestinal endoscopy [Paper]. Multimodal Biomedical Imaging XIII, San Francisco, CA, United states. External link
Boudoux, C., & Poinsinet De Sivry-Houle, M. (2024, January). PyMieSim: simulating coherent and incoherent light scattering coupling [Presentation]. In SPIE Photonics West 2024, San Francisco, California, United States. External link
Deana, R. I. B., Poinsinet De Sivry-Houle, M., Beaudoin, S., Boudoux, C., Virally, S., & Godbout, N. (2023, January). Short mode-selective photonic lanterns using double-clad fibers [Presentation]. In SPIE OPTO, San Francisco, California, United States. External link
Poinsinet De Sivry-Houle, M. (2024). Advancement in Biomedical Imaging Through the Development of Photonic Lanterns: A Study on Light-Matter Interactions [Ph.D. thesis, Polytechnique Montréal]. Restricted access
Poinsinet De Sivry-Houle, M., Deana, R. I. B., Virally, S., Godbout, N., & Boudoux, C. (2024). SuPyMode: an open-source library for design and optimization of fiber optic components. Optics Continuum, 3(2), 242-255. External link
Poinsinet De Sivry-Houle, M., Boudoux, C., & Godbout, N. (2023, January). SuPyMode: an open-source Python library for design and optimization of fiber couplers [Presentation]. In SPIE OPTO, San Francisco, California, United States. External link
Poinsinet De Sivry-Houle, M., Godbout, N., & Boudoux, C. (2023, April). Extensive Mie scattering analysis for biomedical application using PyMieSim [Paper]. 2023 Bio-Optics : Design and Application (BODA 2023), Vancouver, BC, Canada. External link
Poinsinet De Sivry-Houle, M., Godbout, N., & Boudoux, C. (2023). PyMieSim: an open-source library for fast and flexible far-field Mie scattering simulations. Optics Continuum, 2(3), 520-534. External link
Poinsinet De Sivry-Houle, M., Aube, P.-A., Godbout, N., & Boudoux, C. (2022, January). PyMieSim: an open source library for fast and flexible light scattering simulations [Presentation]. In SPIE BiOS 2022, San Francisco, California. External link