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This 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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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.
David, S., Tavera, H., Tran, T., Dallaire, F., Daoust, F., Tremblay, F., Richer, L., Meterissian, S., & Leblond, F. (2024). Macroscopic inelastic scattering imaging using a hyperspectral line-scanning system identifies invasive breast cancer in lumpectomy and mastectomy specimens. Journal of Biomedical Optics, 29(6), 065004 (16 pages). Available
Ember, K., Ksantini, N., Dallaire, F., Sheehy, G., Noé, A., Tran, T., Durand, M., Trudel, D., & Leblond, F. (2024, January). Rapid detection of COVID-19 in liquid saliva using reagent-free Raman spectroscopy [Presentation]. In SPIE Photonics West 2024, San Francisco, California, United States. External link
Grajales, D., Le, W., Dallaire, F., Sheehy, G., David, S., Tran, T., Leblond, F., Menard, C., & Kadoury, S. (2023, October). Towards Real-Time Confirmation of Breast Cancer in the OR Using CNN-Based Raman Spectroscopy Classification [Paper]. 2nd International Workshop on Cancer Prevention Through Early Detection (CaPTion 2023), Vancouver, BC, Canada. External link
Orsini, P., Desroches, J., Daoust, F., Tavera, H., Dallaire, F., Savard, K., Bismuth, J., McKoy, P., Veilleux, I., Petrecca, K., & Leblond, F. (2023, January). Raman macroscopic imaging system for intraoperative brain cancer detection [Paper]. SPIE BiOS 2023, San Francisco, California. External link
Picot, F., Sheehy, G., Dallaire, F., Tremblay, J.-P., Daoust, F., Lemoine, É., Chaikho, L., Bégin, T., Petrecca, K., Kadoury, S., Leblond, F., Elson, D. S., Gioux, S., & Pogue, B. W. (2020, April). Data compatibility across point probe Raman spectroscopy systems and its impact on statistical models portability (Conference Presentation) [Presentation]. In Clinical Biophotonics 2020. External link