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Labrecque Langlais, É., Corbin, D., Tastet, O., Hayek, A., Doolub, G., Mrad, S., Tardif, J.‐C., Tanguay, J.‐F., Marquis‐Gravel, G., Tison, G. H., Kadoury, S., Le, W., Gallo, R., Lesage, F., & Avram, R. (2024). Evaluation of stenoses using AI video models applied to coronary angiography. NPJ Digital Medicine, 7, 138 (13 pages). Disponible
Grajales, D., Le, W., Dallaire, F., Sheehy, G., David, S., Tran, T., Leblond, F., Menard, C., & Kadoury, S. (octobre 2023). Towards Real-Time Confirmation of Breast Cancer in the OR Using CNN-Based Raman Spectroscopy Classification [Communication écrite]. 2nd International Workshop on Cancer Prevention Through Early Detection (CaPTion 2023), Vancouver, BC, Canada. Lien externe
Shakeri, S., Le, W., Ménard, C., & Kadoury, S. (avril 2021). Deformable Mri To Transrectal Ultrasound Registration For Prostate Interventions With Shape-Based Deep Variational Auto-Encoders [Communication écrite]. 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), Nice, France. Lien externe
Shams, R., Le, W., Weihs, A., & Kadoury, S. (avril 2021). Intensity-Based Wasserstein Distance as a Loss Measure for Unsupervised Deformable Deep Registration [Communication écrite]. 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), Nice, France. Lien externe
