Multivariate Analysis of MRI Biomarkers for Predicting Neurologic Impairment in Cervical Spinal Cord Injury
Author:
Publisher
American Society of Neuroradiology (ASNR)
Subject
Neurology (clinical),Radiology, Nuclear Medicine and imaging
Reference43 articles.
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1. A deep learning approach for cervical cord injury severity determination through axial and sagittal magnetic resonance imaging segmentation and classification;European Spine Journal;2024-08-29
2. Prognostic Value of Magnetic Resonance Imaging Variables Combined with Neutrophil-to-Lymphocyte Ratio in Patients with Cervical Traumatic Spinal Cord Injury;World Neurosurgery;2024-08
3. Extent of Traumatic Spinal Cord Injury Is Lesion Level Dependent and Predictive of Recovery: A Multicenter Neuroimaging Study;Journal of Neurotrauma;2024-07-29
4. Lesion characteristics are associated with bowel, bladder, and overall independence following cervical spinal cord injury;The Journal of Spinal Cord Medicine;2024-07-03
5. Advanced Magnetic Resonance Imaging Biomarkers of the Injured Spinal Cord: A Comparative Study of Imaging and Histology in Human Traumatic Spinal Cord Injury;Journal of Neurotrauma;2024-05-01
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