Convolutional Neural Network-Based Automated Segmentation of the Spinal Cord and Contusion Injury: Deep Learning Biomarker Correlates of Motor Impairment in Acute Spinal Cord Injury

D. B. McCoy, S. M. Dupont, C. Gros, Julien Cohen-Adad, R. J. Huie, A. Ferguson, X. Duong-Fernandez, L. H. Thomas, V. Singh, J. Narvid, L. Pascual, N. Kyritsis, M. S. Beattie, J. C. Bresnahan, S. Dhall, W. Whetstone, J. F. Talbott and Track-Sci Investigators

Article (2019)

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Department:	Department of Electrical Engineering
Research Center:	NeuroPoly - Laboratoire de Recherche en Neuroimagerie
PolyPublie URL:	https://publications.polymtl.ca/42901/
Journal Title:	American Journal of Neuroradiology (vol. 40, no. 4)
DOI:	10.3174/ajnr.a6020
Official URL:	https://doi.org/10.3174/ajnr.a6020
Date Deposited:	18 Apr 2023 15:02
Last Modified:	14 Mar 2025 16:22

Cite in APA 7:

McCoy, D. B., Dupont, S. M., Gros, C., Cohen-Adad, J., Huie, R. J., Ferguson, A., Duong-Fernandez, X., Thomas, L. H., Singh, V., Narvid, J., Pascual, L., Kyritsis, N., Beattie, M. S., Bresnahan, J. C., Dhall, S., Whetstone, W., Talbott, J. F., & Investigators, T.-S. (2019). Convolutional Neural Network-Based Automated Segmentation of the Spinal Cord and Contusion Injury: Deep Learning Biomarker Correlates of Motor Impairment in Acute Spinal Cord Injury. American Journal of Neuroradiology, 40(4), 737-744. https://doi.org/10.3174/ajnr.a6020

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