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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.
Akbarzadeh, A., Edjlali, E., Sheehy, G., Selb, J., Agarwal, R., Weber, J., & Leblond, F. (2020). Experimental validation of a spectroscopic Monte Carlo light transport simulation technique and Raman scattering depth sensing analysis in biological tissue. Journal of Biomedical Optics, 25(10), 105002 (19 pages). Available
Ember, K., Dallaire, F., D'Amours, É., Bounaas, M., Selb, J., Lesage, F., & Leblond, F. (2025, April). Low-cost Raman Spectroscopy for Detection of Lung Cancer in a National Blood Plasma Biobank [Paper]. Clinical and Translational Biophotonics 2025, Coronado, CA, USA. External link
Ember, K., Dallaire, F., Plante, A., Sheehy, G., Guiot, M.-C., Agarwal, R., Yadav, R., Douet, A., Selb, J., Tremblay, J. P., Dupuis, A., Marple, E., Urmey, K., Rizea, C., Harb, A., McCarthy, L., Schupper, A., Umphlett, M., Tsankova, N., ... Petrecca, K. (2024). In situ brain tumor detection using a Raman spectroscopy system — results of a multicenter study. Scientific Reports, 14, 14 (12 pages). Available
Gagnon, L., Selb, J., Boas, D., Hoge, R., & Lesage, F. (2008, March). Measurements of haemoglobin concentrations in the human forehead using time-resolved reflectance [Paper]. OSA Biomed 2008, St. Petersburg, FL, USA. External link
Le Roy Pépin, R., Dufault-Quintana, E., Guillaumond, C., Noe, A., Zamani, E., Dallaire, F., Selb, J., Ember, K., & Leblond, F. (2025, January). Advancing athletic performance monitoring: sport-related biomarkers detection and analysis in human biofluids using Raman spectroscopy [Presentation]. In Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables VI, San Francisco, CA, USA. External link
Leblond, F., Ahmad, E. Z., Dallaire, F., Damours, É., Boonaas, M., Selb, J., Le Roy Pépin, R., Sheehy, G., Ksantini, N., Ember, K., Lilge, L., & Huang, Z. (2025, June). Development of a Raman spectroscopy biofluid interrogation platform applied to lung cancer detection from blood plasma [Paper]. European Conferences on Biomedical Optics (ECBO 2025), Munich, Germany (3 pages). External link
Sticca, G., Zamani, E., Selb, J., Gagnon-Konamna, M., Sebajang, H., Schwenter, F., De Broux, E., Chartrand, G., Wassef, R., Ratelle, R., Loungnarath, R., Ember, K., Dagbert, F., Leblond, F., & Richard, C. (2025). Raman spectroscopy and machine learning for blood-based detection of colorectal cancer. [Abstract]. Canadian Journal of Surgery, 68(6suppl2), S37-S37. Presented at 2025 Canadian Surgery Forum, Halifax, NS, CA. External link