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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.
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Bou Assi, E., Schindler, K., de Bézenac, C., Denison, T., Desai, S., Keller, S. S., Lemoine, É., Rahimi, A., Shoaran, M., & Rummel, C. (2023). From Basic Sciences and Engineering to Epileptology: A Translational Approach. Epilepsia, 37 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
Depaoli, D., Lemoine, É., Ember, K., Parent, M., Prud'Homme, M., Cantin, L., Petrecca, K., Leblond, F., & Cote, D. C. (2020). Rise of Raman spectroscopy in neurosurgery: A review. Journal of Biomedical Optics, 25(5), 36 pages. External link
Desroches, J., Lemoine, É., Pinto, M., Marple, E., Urmey, K., Diaz, R., Guiot, M.-C., Wilson, B. C., Petrecca, K., & Leblond, F. (2019). Development and first in-human use of a Raman spectroscopy guidance system integrated with a brain biopsy needle. Journal of Biophotonics, 12(3), e201800396 (7 pages). External link
Lemoine, É., Xu, A. Q., Jemel, M., Lesage, F., Nguyen, D. K., & Bou Assi, E. (2026). Development and validation of a deep survival model to predict time to seizure from routine electroencephalography. Epilepsia, 14 pages. External link
Lemoine, É., Hinnoutondji Toffa, D., Qi Xu, A., Tessier, J.-D., Jemel, M., Lesage, F., Khoa Nguyen, D., & Bou Assi, E. (2025). Improving diagnostic accuracy of routine EEG for epilepsy using deep learning. Brain Communications. External link
Lemoine, É., Jemel, M., Xu, A. Q., Tessier, J.-D., Lesage, F., Nguyen, D. K., & Bou Assi, E. (2025). Prognostic value of interictal epileptiform discharges on routine EEG in adults with epilepsy. Epilepsia, 66(6), 2079-2088. Available
Lemoine, É., Lesage, F., Nguyen, D. K., & Bou Assi, E. (2025). Deep Learning for the Prediction of Time-to-Seizure in Epilepsy using Routine EEG (P3-9.003). Neurology, 104(7_Suppleme). External link
Leblond, F., & Lemoine, É. (2024). Methods and Systems for Assessing a Phenotype of a Biological Tissue of a Patient Using Raman Spectroscopy. (Patent no. US12165746 B2). External link
Lemoine, É., Neves Briard, J., Rioux, B., Gharbi, O., Podbielski, R., Nauche, B., Toffa, D., Keezer, M., Lesage, F., Nguyen, D. K., & Bou Assi, E. (2024). Computer-assisted analysis of routine EEG to identify hidden biomarkers of epilepsy: A systematic review. Computational and Structural Biotechnology Journal, 24, 66-86. External link
Lemoine, É., Briard, J. N., Rioux, B., Podbielski, R., Nauche, B., Toffa, D. H., Keezer, M. R., Lesage, F., Nguyen, D. K., & Bou Assi, E. (2023). Computer-assisted analysis of routine electroencephalogram to identify hidden biomarkers of epilepsy: Protocol for a systematic review. BMJ Open, 13(1), e066932 (6 pages). Available
Lemoine, É., Toffa, D., Pelletier-Mc Duff, G., Xu, A. Q., Jemel, M., Tessier, J.-D., Lesage, F., Nguyen, D. K., & Bou Assi, E. (2023). Machine-learning for the prediction of one-year seizure recurrence based on routine electroencephalography. Scientific Reports, 13(1), 13 pages. Available
Lemoine, É., Toffa, D. H., Lesage, F., Nguyen, D. K., & Bou Assi, E. (2023, April). Predicting Seizure Freedom through Computational Processing of Routine EEG [Abstract]. 2023 Annual Meeting Abstracts (3 pages). Published in Neurology, 100(17, suppl). External link
Lemoine, É., Tessier, J.-D., Pelletier-Mc Duff, G., Robert, M., Toffa, D., Lesage, F., Nguyen, D. K., & Bou Assi, E. (2021, August). Entropy on routine EEG: a fingerprint of recent seizure activity? [Abstract]. 34th International Epilepsy Congress (1 page). Published in Epilepsia, 62(S3). External link
Lemoine, É. (2020). A New Representation for Spectral Data Applied to Raman Spectroscopy of Brain Cancer [Master's thesis, Polytechnique Montréal]. Available
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
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
