Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
A Shoeibi, M Khodatars, M Jafari, P Moridian… - Computers in Biology …, 2021 - Elsevier
Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor
problems for people with a detrimental effect on the functioning of the nervous system. In …
problems for people with a detrimental effect on the functioning of the nervous system. In …
Dose calculation algorithms for external radiation therapy: an overview for practitioners
Featured Application Radiation therapy treatment planning. Abstract Radiation therapy (RT)
is a constantly evolving therapeutic technique; improvements are continuously being …
is a constantly evolving therapeutic technique; improvements are continuously being …
Decreasing brain iron in multiple sclerosis: The difference between concentration and content in iron MRI
F Schweser, J Hagemeier, MG Dwyer… - Human brain …, 2021 - Wiley Online Library
Increased brain iron concentration is often reported concurrently with disease development
in multiple sclerosis (MS) and other neurodegenerative diseases. However, it is unclear …
in multiple sclerosis (MS) and other neurodegenerative diseases. However, it is unclear …
Stratification of multiple sclerosis patients using unsupervised machine learning: a single-visit MRI-driven approach
Objectives To stratify patients with multiple sclerosis (pwMS) based on brain MRI-derived
volumetric features using unsupervised machine learning. Methods The 3-T brain MRIs of …
volumetric features using unsupervised machine learning. Methods The 3-T brain MRIs of …
Neuroimaging correlates of cognitive dysfunction in adults with multiple sclerosis
Cognitive impairment is a frequent and meaningful symptom in multiple sclerosis (MS),
caused by the accrual of brain structural damage only partially counteracted by effective …
caused by the accrual of brain structural damage only partially counteracted by effective …
Unraveling deep gray matter atrophy and iron and myelin changes in multiple sclerosis
BACKGROUND AND PURPOSE: Modifications of magnetic susceptibility have been
consistently demonstrated in the subcortical gray matter of MS patients, but some …
consistently demonstrated in the subcortical gray matter of MS patients, but some …
Magnetic resonance imaging in primary progressive multiple sclerosis patients
M Siger - Clinical Neuroradiology, 2022 - Springer
The recently developed effective treatment of primary progressive multiple sclerosis (PPMS)
requires the accurate diagnosis of patients with this type of disease. Currently, the diagnosis …
requires the accurate diagnosis of patients with this type of disease. Currently, the diagnosis …
Clinical correlates of R1 relaxometry and magnetic susceptibility changes in multiple sclerosis: a multi-parameter quantitative MRI study of brain iron and myelin
Objectives The clinical impact of brain microstructural abnormalities in multiple sclerosis
(MS) remains elusive. We aimed to characterize the topography of longitudinal relaxation …
(MS) remains elusive. We aimed to characterize the topography of longitudinal relaxation …
Lesion volume in relapsing multiple sclerosis is associated with perivascular space enlargement at the level of the basal ganglia
SC Kolbe, LM Garcia, N Yu… - American Journal …, 2022 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Perivascular spaces surround the blood vessels of the
brain and are involved in neuroimmune functions and clearance of metabolites via the …
brain and are involved in neuroimmune functions and clearance of metabolites via the …
A combined radiomics and machine learning approach to overcome the clinicoradiologic paradox in multiple sclerosis
BACKGROUND AND PURPOSE: Conventional MR imaging explains only a fraction of the
clinical outcome variance in multiple sclerosis. We aimed to evaluate machine learning …
clinical outcome variance in multiple sclerosis. We aimed to evaluate machine learning …