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Plos One
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April 6, 2017
Exploration of machine learning techniques in predicting multiple sclerosis disease course
Yijun Zhao, Brian C Healy, Dalia Rotstein, et al.
Neurology
|
June 15, 2007
Predicting short-term disability in multiple sclerosis
S A Gauthier, M Mandel, C R G Guttmann, et al.
Archives of Neurology
|
May 11, 2005
Kinin B1 receptor expression on multiple sclerosis mononuclear cells: correlation with magnetic resonance imaging T2-weighted lesion volume and clinical disability
Alexandre Prat, Katarzyna Biernacki, Tanya Saroli, et al.
European Journal of Radiology
|
November 7, 2018
Evidence of axonal damage in cerebellar peduncles without T2-lesions in multiple sclerosis
Salem Hannoun, Gabriel Kocevar, Françoise Durand-Dubief, et al.
Neuroscience Letters
|
June 7, 2005
Functional asymmetry in human primary auditory cortex: identified from longitudinal fMRI study
Seung-Schik Yoo, Heather M O'leary, Chandlee C Dickey, et al.
Computers in Biology and Medicine
|
July 23, 2022
Assessing clinical utility of machine learning and artificial intelligence approaches to analyze speech recordings in multiple sclerosis: A pilot study
E Svoboda, T Bořil, J Rusz, et al.
Plos One
|
May 26, 2016
A Sensitive and Automatic White Matter Fiber Tracts Model for Longitudinal Analysis of Diffusion Tensor Images in Multiple Sclerosis
Claudio Stamile, Gabriel Kocevar, François Cotton, et al.
Neurology
|
January 10, 2002
Older people with impaired mobility have specific loci of periventricular abnormality on MRI
R R Benson, C R G Guttmann, X Wei, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging
|
March 31, 2011
The relationship between normal cerebral perfusion patterns and white matter lesion distribution in 1,249 patients with multiple sclerosis
Christopher M Holland, Arnaud Charil, Istvan Csapo, et al.
AJNR. American Journal of Neuroradiology
|
December 30, 2008
Temporoparietal MR imaging measures of atrophy in subjects with mild cognitive impairment that predict subsequent diagnosis of Alzheimer disease
R S Desikan, H J Cabral, B Fischl, et al.
Page
of 16
Search research articles
Search
Showing results (51-60 of 154) with videos related to
Sort By:
Page
of 16
Plos One
|
April 6, 2017
Exploration of machine learning techniques in predicting multiple sclerosis disease course
Yijun Zhao, Brian C Healy, Dalia Rotstein, et al.
Neurology
|
June 15, 2007
Predicting short-term disability in multiple sclerosis
S A Gauthier, M Mandel, C R G Guttmann, et al.
Archives of Neurology
|
May 11, 2005
Kinin B1 receptor expression on multiple sclerosis mononuclear cells: correlation with magnetic resonance imaging T2-weighted lesion volume and clinical disability
Alexandre Prat, Katarzyna Biernacki, Tanya Saroli, et al.
European Journal of Radiology
|
November 7, 2018
Evidence of axonal damage in cerebellar peduncles without T2-lesions in multiple sclerosis
Salem Hannoun, Gabriel Kocevar, Françoise Durand-Dubief, et al.
Neuroscience Letters
|
June 7, 2005
Functional asymmetry in human primary auditory cortex: identified from longitudinal fMRI study
Seung-Schik Yoo, Heather M O'leary, Chandlee C Dickey, et al.
Computers in Biology and Medicine
|
July 23, 2022
Assessing clinical utility of machine learning and artificial intelligence approaches to analyze speech recordings in multiple sclerosis: A pilot study
E Svoboda, T Bořil, J Rusz, et al.
Plos One
|
May 26, 2016
A Sensitive and Automatic White Matter Fiber Tracts Model for Longitudinal Analysis of Diffusion Tensor Images in Multiple Sclerosis
Claudio Stamile, Gabriel Kocevar, François Cotton, et al.
Neurology
|
January 10, 2002
Older people with impaired mobility have specific loci of periventricular abnormality on MRI
R R Benson, C R G Guttmann, X Wei, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging
|
March 31, 2011
The relationship between normal cerebral perfusion patterns and white matter lesion distribution in 1,249 patients with multiple sclerosis
Christopher M Holland, Arnaud Charil, Istvan Csapo, et al.
AJNR. American Journal of Neuroradiology
|
December 30, 2008
Temporoparietal MR imaging measures of atrophy in subjects with mild cognitive impairment that predict subsequent diagnosis of Alzheimer disease
R S Desikan, H J Cabral, B Fischl, et al.
Page
of 16