Abstract Machine learning (ML) and its subset, deep learning (DL), are branches of artificial
intelligence (AI) showing promising findings in the medical field, especially when applied to …

The gray matter of the spinal cord is the seat of somata of various types of neurons devoted
to the sensory and motor activities of the limbs and trunk as well as a part of the autonomic …

Background: Spinal cord (SC) gray and white matter pathology plays a central role in
multiple sclerosis (MS). Objective: We aimed to investigate the extent, pattern, and clinical …

To explore the performance of improved watershed algorithm in processing magnetic
resonance imaging (MRI) images and the effect of the processed images on the treatment of …

Background: MR imaging of the spinal cord (SC) gray matter (GM) at the cervical and lumbar
enlargements' level may be particularly informative in lower motor neuron disorders, eg …

The emergence of diffusion, structural, and functional neuroimaging methods has enabled
major multi-site efforts to map the human connectome, which has heretofore been defined …

Purpose Several studies have indicated the relevance of spinal cord grey matter atrophy for
Multiple Sclerosis (MS) related disability. This work aimed at evaluating feasibility and …

Background Although cervical spinal cord (cSC) area is an established biomarker in MS,
there is currently a lack of longitudinal assessments of cSC gray and white matter areas …

Background Spinal cord (SC) gray and white matter atrophy quantification by advanced
morphometric MRI can help to better characterize the course of neurodegenerative diseases …

Imaging methods of the spine have greatly expanded since 1895, providing anatomical
clarity for diagnosis and treatment of the cervical, thoracic, lumbar, and sacral vertebrae. The …