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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.
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
David, S., Tran, T., Dallaire, F., Sheehy, G., Azzi, F., Trudel, D., Tremblay, F., Omeroglu, A., Leblond, F., & Meterissian, S. (2023). In situ Raman spectroscopy and machine learning unveil biomolecular alterations in invasive breast cancer. Journal of Biomedical Optics, 28(3), 036009 (18 pages). External link
Ember, K. J. I., Ksantini, N., Dallaire, F., Sheehy, G., Tran, T., Dehaes, M., Durand, M., Trudel, D., & Leblond, F. (2024). Liquid saliva-based Raman spectroscopy device with on-board machine learning detects COVID-19 infection in real-time. The Analyst, 149(22), 5535-5545. 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
Ember, K., Dulude, J.-P., Tran, T., Gervais, M.‐K., Meterissian, S., Dudley, R., Petrecca, K., & Leblond, F. (2023). Clinical Aspects of Raman Spectroscopy in Surgical Applications. In Sato, H., Popp, J., Wood, B. R., & Ozaki, Y. (eds.), Raman Spectroscopy in Human Health and Biomedicine (pp. 553-585). External link
Ember, K., Daoust, F., Mahfoud, M., Dallaire, F., Ahmad, E. Z., Tran, T., Plante, A., Diop, M.-K., Nguyen, T., St-Georges-Robillard, A., Ksantini, N., Lanthier, J., Filiatrault, A., Sheehy, G., Beaudoin, G., Quach, C., Trudel, D., & Leblond, F. (2022). Saliva-based detection of COVID-19 infection in a real-world setting using reagent-free Raman spectroscopy and machine learning. Journal of Biomedical Optics, 27(2), 025002 (24 pages). Available
Grajales, D., Le, W. T., Tran, T., David, S., Dallaire, F., Ember, K., Leblond, F., Menard, C., & Kadoury, S. (2024). Robot-assisted biopsy sampling for online Raman spectroscopy cancer confirmation in the operating room. International Journal of Computer Assisted Radiology and Surgery, 9-9. 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
Kosik, I., Dallaire, F., Pires, L., Tran, T., Leblond, F., & Wilson, B. (2023). Preclinical evaluation of Raman spectroscopy for pedicular screw insertion surgical guidance in a porcine spine model. Journal of Biomedical Optics, 28(5), 057003 (15 pages). External link
Picot, F., Shams, R., Dallaire, F., Sheehy, G., Tran, T., Grajales, D., Birlea, M., Trudel, D., Menard, C., Kadoury, S., & Leblond, F. (2022). Image-guided Raman spectroscopy navigation system to improve transperineal prostate cancer detection. Part 1: Raman spectroscopy fiber-optics system and in situ tissue characterization. Journal of Biomedical Optics, 27(9), 095003 (14 pages). External link
Tran, T., Leblond, F., & Dudley, R. (2024). Intraoperative adjuncts to optimize the surgical treatment of drug-resistant epilepsy: do new tools improve outcome? In Fallah, A., Ibrahim, G. M., & Weil, A. G. (eds.), Pediatric Epilepsy Surgery Techniques (pp. 69-89). External link
Zamani, E., Ksantini, N., Sheehy, G., Ember, K. J. I., Baloukas, B., Zabeida, O., Tran, T., Mahfoud, M., Sapieha, J.-E., Martinu, L., & Leblond, F. (2024). Spectral effects and enhancement quantification in healthy human saliva with surface-enhanced Raman spectroscopy using silver nanopillar substrates. Lasers in Surgery and Medicine, 56(2), 206-217. Available
