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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.
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
Daoust, F., Tavera, H., Dallaire, F., Orsini, P., Savard, K., Bismuth, J., McKoy, P., Veilleux, I., Petrecca, K., & Leblond, F. (2023). A clinical Raman spectroscopy imaging system and safety requirements for in situ intraoperative tissue characterization. Analyst, 148(9), 1991-2001. External link
Picot, F., Shams, R., Dallaire, F., Sheehy, G., Trang, 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
Lopera, D. O. G., Picot, F., Shams, R., Dallaire, F., Sheehy, G., Alley, S., Barkati, M., Delouya, G., Carrier, J.-F., Birlea, M., Trudel, D., Leblond, F., Menard, C., & Kadoury, S. (2022). Image-guided Raman spectroscopy navigation system to improve transperineal prostate cancer detection. Part 2: in-vivo tumor-targeting using a classification model combining spectral and MRI-radiomics features. Journal of Biomedical Optics, 27(9), 095004 (16 pages). External link
David, S., Plante, A., Dallaire, F., Tremblay, J.-P., Sheehy, G., Macdonald, E., Forrest, L., Daneshmand, M., Trudel, D., Wilson, B. C., Hopkins, L., Murugkar, S., Vanderhyden, B., & Leblond, F. (2022). Multispectral label-free Raman spectroscopy can detect ovarian and endometrial cancer with high accuracy. Journal of Biophotonics, 15(2), 10 pages. External link
Grosset, A.-A., Dallaire, F., Nguyen, T., Birlea, M., Wong, J., Daoust, F., Roy, N., Kougioumoutzakis, A., Azzi, F., Aubertin, K., Kadoury, S., Latour, M., Albadine, R., Prendeville, S., Boutros, P., Fraser, M., Bristow, R. G., van der Kwast, T., Orain, M., ... Trudel, D. (2020). Identification of intraductal carcinoma of the prostate on tissue specimens using Raman micro-spectroscopy: A diagnostic accuracy case-control study with multicohort validation. Plos Medicine, 17(8), e1003281 (20 pages). External link
Shams, R., Picot, F., Grajales, D., Sheehy, G., Dallaire, F., Birlea, M., Saad, F., Trudel, D., Menard, C., Leblond, F., & Kadoury, S. (2020). Pre-clinical evaluation of an image-guided in-situ Raman spectroscopy navigation system for targeted prostate cancer interventions. International Journal of Computer Assisted Radiology and Surgery, 15(5), 867-876. External link
Lemoine, É., Dallaire, F., Yadav, R., Agarwal, R., Kadoury, S., Trudel, D., Guiot, M.-C., Petrecca, K., & Leblond, F. (2019). Feature engineering applied to intraoperative in vivo Raman spectroscopy sheds light on molecular processes in brain cancer: a retrospective study of 65 patients. Analyst, 144(22), 6517-6532. External link
