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Azad, R., Rouhier, L., & Cohen-Adad, J. (septembre 2021). Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling [Communication écrite]. 12th International Workshop on Machine Learning in Medical Imaging (MLMI 2021). Lien externe
AskariHemmat Hossein, M., Savaria, Y., Jean-Pierre, D., Honari, S., Perone, C., Rouhier, L., & Cohen-Adad, J. (octobre 2019). Fixed-point u-net quantization for medical image segmentation [Communication écrite]. 22nd International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI 2019), Shenzhen, China. Non disponible
AskariHemmat, M.H., Honari, S., Rouhier, L., Perone, C. S., Cohen-Adad, J., Savaria, Y., & David, J. P. (octobre 2019). U-net fixed-point quantization for medical image segmentation [Communication écrite]. 1st International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention (HAL-MICCAI 2019), Shenzhen, China. Lien externe
Gros, C., Lemay, A., Vincent, O., Rouhier, L., Bourget, M.-H., Bucquet, A., Cohen, P., & Cohen-Adad, J. (2021). Ivadomed : a medical imaging deep learning toolbox. Journal of Open Source Software, 6(58), 5 pages. Lien externe
Rouhier, L. (2020). Prognosis for Degenerative Cervical Myelopathy: A Computer Learning Approach on the AOspine Database [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
Rouhier, L., Parizet, M., Ali Akbar, M., Weber, M., Fehlings, M., & Cohen-Adad, J. (mai 2019). Deep learning for prognosis in degenerative cervical myelopathy [Communication écrite]. ISMRM 27th Annual Meeting & Exhibition, Montréal, QC, Canada. Lien externe
