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Blanc, C., Shahrampour, S., Mohamed, F. B., & De Leener, B. (2023). Combining PropSeg and a convolutional neural network for automatic spinal cord segmentation in pediatric populations and patients with spinal cord injury. International Journal of Imaging Systems and Technology, 33(4), 1396-1405. Lien externe
Blostein, N., Banerjee, R., Bédard, S., Shahrampour, S., De Leener, B., Mohamed, F. B., Middleton, D., Krisa, L., & Cohen-Adad, J. (mai 2023). Multimodal pediatric spinal cord template [Communication écrite]. QBIN Scientific Day 2023, Laval, Qc, Canada. Lien externe
Shahrampour, S., Alizadeh, M., Middleton, D., De Leener, B., Krisa, L., Flanders, A. E., Faro, S. H., Cohen-Adad, J., Mulcahey, M.J., & Mohamed, F. B. (juin 2023). Quantitative magnetic resonance imaging to quantify the macro and microstructural changes in normal and pediatrics with spinal cord injury [Affiche]. ISMRM & ISMRT annual Meeting & Exhibition, Toronto, ON, Canada. Lien externe
