Documents publiés en "2023"

Département de génie électrique

Lemay, A., Gros, C., Karthik, E. N., & Cohen-Adad, J. (2023). Label fusion and training methods for reliable representation of inter-rater uncertainty. The Journal of Machine Learning for Biomedical Imaging, 1(January 20), 1-27. Lien externe

McGinnis, J., Karthik, E. N., Rühling, S., Wurm, R., Stern, K., Bédard, S., Wiltgen, T., Berthele, A., Zimmer, C., Hemmer, B., Benedikt, W., Rückert, D., Kirschke, J., Cohen-Adad, J., & Mühlau, M. (octobre 2023). Towards generalizable spinal cord lesion segmentation in multiple sclerosis [Affiche]. 9th Joint ECTRIMS-ACTRIMS meeting (MSMilan 2023), Milan, Italy (1 page). Publié dans Multiple Sclerosis Journal, 29(3S). Lien externe

Département de génie informatique et génie logiciel

Karthik, E. N., Cheriet, F., & Laporte, C. (2023). Uncertainty Estimation in Unsupervised MR-CT Synthesis of Scoliotic Spines. IEEE Open Journal of Engineering in Medicine and Biology, 7 pages. Lien externe

Institut de génie biomédical

Lemay, A., Gros, C., Karthik, E. N., & Cohen-Adad, J. (2023). Label fusion and training methods for reliable representation of inter-rater uncertainty. The Journal of Machine Learning for Biomedical Imaging, 1(January 20), 1-27. Lien externe