Automated segmentation of tissues using CT and MRI: a systematic review

L Lenchik, L Heacock, AA Weaver, RD Boutin… - Academic radiology, 2019 - Elsevier
Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …

Advances in spinal cord imaging in multiple sclerosis

M Moccia, S Ruggieri, A Ianniello… - Therapeutic …, 2019 - journals.sagepub.com
The spinal cord is frequently affected in multiple sclerosis (MS), causing motor, sensory and
autonomic dysfunction. A number of pathological abnormalities, including demyelination …

SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data

B De Leener, S Lévy, SM Dupont, VS Fonov, N Stikov… - Neuroimage, 2017 - Elsevier
For the past 25 years, the field of neuroimaging has witnessed the development of several
software packages for processing multi-parametric magnetic resonance imaging (mpMRI) to …

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks

C Gros, B De Leener, A Badji, J Maranzano, D Eden… - Neuroimage, 2019 - Elsevier
The spinal cord is frequently affected by atrophy and/or lesions in multiple sclerosis (MS)
patients. Segmentation of the spinal cord and lesions from MRI data provides measures of …

Spinal cord gray matter segmentation using deep dilated convolutions

CS Perone, E Calabrese, J Cohen-Adad - Scientific reports, 2018 - nature.com
Gray matter (GM) tissue changes have been associated with a wide range of neurological
disorders and were recently found relevant as a biomarker for disability in amyotrophic …

[HTML][HTML] Spinal cord grey matter segmentation challenge

F Prados, J Ashburner, C Blaiotta, T Brosch… - Neuroimage, 2017 - Elsevier
An important image processing step in spinal cord magnetic resonance imaging is the ability
to reliably and accurately segment grey and white matter for tissue specific analysis. There …

Presymptomatic spinal cord pathology in c9orf72 mutation carriers: A longitudinal neuroimaging study

G Querin, P Bede, MM El Mendili, M Li… - Annals of …, 2019 - Wiley Online Library
Objective C9orf72 hexanucleotide repeats expansions account for almost half of familial
amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) cases. Recent …

The role of Artificial intelligence in the assessment of the spine and spinal cord

T Martín-Noguerol, MO Miranda, TJ Amrhein… - European Journal of …, 2023 - Elsevier
Artificial intelligence (AI) application development is underway in all areas of radiology
where many promising tools are focused on the spine and spinal cord. In the past decade …

[HTML][HTML] Investigating the human spinal sensorimotor pathways through functional magnetic resonance imaging

C Landelle, O Lungu, S Vahdat, A Kavounoudias… - NeuroImage, 2021 - Elsevier
Most of our knowledge about the human spinal ascending (sensory) and descending
(motor) pathways comes from non-invasive electrophysiological investigations. However …

[HTML][HTML] Elezanumab, a human anti-RGMa monoclonal antibody, promotes neuroprotection, neuroplasticity, and neurorecovery following a thoracic hemicompression …

PB Jacobson, R Goody, M Lawrence, BK Mueller… - Neurobiology of …, 2021 - Elsevier
Spinal cord injury (SCI) is a devastating condition characterized by loss of function,
secondary to damaged spinal neurons, disrupted axonal connections, and myelin loss …