Semiautomated Pipeline Effectively Assesses Severity and Monitor Disease Progression in Compressed Spinal Cord of Degenerative Cervical Myelopathy Patients

Fauziyya Muhammad, Kenneth A. Weber, Sandrine Bédard, Grace Haynes and Zachary A. Smith

Article (2025)

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Uncontrolled Keywords

• Rehabilitation
• Surgery
• Pathology and Forensic Medicine
• Cervical and Thoracic Myelopathy
• Stroke Rehabilitation and Recovery
• Spinal Cord Injury Research

Department:	Institut de génie biomédical
Research Center:	NeuroPoly - Laboratoire de Recherche en Neuroimagerie
PolyPublie URL:	https://publications.polymtl.ca/65897/
Journal Title:	Neurosurgery Open (vol. 6, no. 2)
DOI:	10.1227/neuprac.0000000000000138
Official URL:	https://doi.org/10.1227/neuprac.0000000000000138
Date Deposited:	02 Jun 2025 16:28
Last Modified:	02 Jun 2025 16:28

Cite in APA 7:	Muhammad, F., Weber, K. A., Bédard, S., Haynes, G., & Smith, Z. A. (2025). Semiautomated Pipeline Effectively Assesses Severity and Monitor Disease Progression in Compressed Spinal Cord of Degenerative Cervical Myelopathy Patients. Neurosurgery Open, 6(2), 11 pages. https://doi.org/10.1227/neuprac.0000000000000138
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