Documents publiés en "2021"

Article de revue

Gros, C., Lemay, A., & Cohen-Adad, J. (2021). SoftSeg: Advantages of soft versus binary training for image segmentation. Medical Image Analysis, 71, 12 pages. 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

Lemay, A., Gros, C., Zhuo, Z., Zhang, J., Duan, Y., Cohen-Adad, J., & Liu, Y. (2021). Automatic multiclass intramedullary spinal cord tumor segmentation on MRI with deep learning. NeuroImage - Clinical, 31, 9 pages. Disponible

Communication écrite

Lemay, A., Gros, C., Vincent, O., Liu, Y., Cohen, J. P., & Cohen-Adad, J. (juillet 2021). Benefits of linear conditioning for segmentation using metadata [Communication écrite]. 4th Conference on Medical Imaging with Deep Learning (CMDL 2021), Lübeck, Germany. Lien externe

Présentation

Lemay, A., Gros, C., Vincent, O., Liu, Y., Cohen, J. P., & Cohen-Adad, J. (juillet 2021). Benefits of Linear Conditioning with Metadata for Image Segmentation [Présentation]. Dans 4th Conference on Medical Imaging with Deep Learning (MIDL 2021). Publié dans Proceedings of Machine Learning Research, 143. Lien externe