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Drozdzal, M., Chartrand, G., Vorontsov, E., Shakeri, M., Di Jorio, L., Tang, A., Romero, A., Bengio, Y., Pal, C. J., & Kadoury, S. (2018). Learning normalized inputs for iterative estimation in medical image segmentation. Medical Image Analysis, 44, 1-13. Lien externe
Jegou, S., Drozdzal, M. A., Vazquez, D., Romero, A., & Bengio, Y. (juillet 2017). The one hundred layers Tiramisu: fully convolutional DenseNets for semantic segmentation [Communication écrite]. IEEE Conference on Computer Vision and Pattern Recognition: Workshops (CVPRW 2017), Honolulu, HI, USA. Lien externe
Vazquez, D., Bernal, J., Sánchez, F. J., Fernández-Esparrach, G., López, A. M., Romero, A., Drożdżal, M., & Courville, A. (2017). A benchmark for endoluminal scene segmentation of colonoscopy images. Journal of Healthcare Engineering, 2017, 1-9. Disponible
