![]() | Up a level |
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.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
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.
Daoust, F., Dallaire, F., Tavera, H., Ember, K., Guiot, M.-C., Petrecca, K., & Leblond, F. (2025). Preliminary study demonstrating cancer cells detection at the margins of whole glioblastoma specimens with Raman spectroscopy imaging. Scientific Reports, 15(1), 15 pages. Available
David, S., Ksantini, N., Dallaire, F., Ember, K., Daoust, F., Sheehy, G., Hadjipanayis, C. G., Petrecca, K., Wilson, B. C., & Leblond, F. (2024). Toward noncontact macroscopic imaging of multiple cancers using multi-spectral inelastic scattering detection. Journal of Biophotonics, 2024000087 (7 pages). External link
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
Dallaire, F., Picot, F., Tremblay, J.-P., Sheehy, G., Lemoine, É., Agarwal, R., Kadoury, S., Trudel, D., Lesage, F., Petrecca, K., & Leblond, F. (2020). Quantitative spectral quality assessment technique validated using intraoperative in vivo Raman spectroscopy measurements. Journal of Biomedical Optics, 25(4). Available
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., 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
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
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). Data from: Identification of intraductal carcinoma of the prostate on tissue specimens using Raman micro-spectroscopy: A diagnostic accuracy case-control study with multicohort validation [Dataset]. 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
Leblond, F., Dallaire, F., Ember, K., Le Moël, A., Blanquez-Yeste, V., Tavera, H., Sheehy, G., Trang, T., Guiot, M.‐C., Weil, A. G., Dudley, R., Hadjipanayis, C. G., & Petrecca, K. (2025). Quantitative assessment of the generalizability of a brain tumor Raman spectroscopy machine learning model to various tumor types including astrocytoma and oligodendroglioma. Journal of Biomedical Optics, 30(01), 010501 (7 pages). Available
Leblond, F., Dallaire, F., Trang, T., Yadav, R., Aubertin, K., Goudie, E., Romeo, P., Kent, C., Leduc, C., & Liberman, M. (2023). Subsecond lung cancer detection within a heterogeneous background of normal and benign tissue using single-point Raman spectroscopy. Journal of Biomedical Optics, 28(9), 090501 (8 pages). Available
Plante, A., Dallaire, F., Grosset, A.-A., 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., ... Leblond, F. (2021). Dimensional reduction based on peak fitting of Raman micro spectroscopy data improves detection of prostate cancer in tissue specimens. Journal of Biomedical Optics, 26(11), 14 pages. External link
Picot, F., Daoust, F., Sheehy, G., Dallaire, F., Chaikho, L., Bégin, T., Kadoury, S., & Leblond, F. (2020). Data consistency and classification model transferability across biomedical Raman spectroscopy systems. Translational Biophotonics, 3(1), 1-11. Available
Pinto, M., Zorn, K. C., Tremblay, J.-P., Desroches, J., Dallaire, F., Aubertin, K., Marple, E., Kent, C., Leblond, F., Trudel, D., & Lesage, F. (2019). Integration of a Raman spectroscopy system to a robotic-assisted surgical system for real-time tissue characterization during radical prostatectomy procedures. Journal of Biomedical Optics, 24(2), 025001 (10 pages). Available
Sheehy, G., Picot, F., Dallaire, F., Ember, K., Nguyen, T., Petrecca, K., Trudel, D., & Leblond, F. (2023). Open-sourced Raman spectroscopy data processing package implementing a baseline removal algorithm validated from multiple datasets acquired in human tissue and biofluids. Journal of Biomedical Optics, 28(2), 025002 (20 pages). External link
Tran, T., Dallaire, F., Sonnen, J. A., Cayrol, R., Leblond, F., & Dudley, R. (2025). Single-cell Raman spectroscopy detects pediatric focal cortical dysplasia. Biophotonics discovery., 2(01), 015002 (12 pages). Available