Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Shannon Kolind

Showing results (1-10 of 53) with videos related to

Pageof 6
Sort By:
The Lancet. Digital Health|December 16, 2020
Improving parkinsonism diagnosis with machine learningShawna Abel, Shannon Kolind
Magnetic Resonance Imaging|May 9, 2006
Insights into brain microstructure from the T2 distributionAlex MacKay, Cornelia Laule, Irene Vavasour, et al.
Magnetic Resonance Imaging|April 9, 2023
Neural network algorithms predict new diffusion MRI data for multi-compartmental analysis of brain microstructure in a clinical settingCayden Murray, Olayinka Oladosu, Manish Joshi, et al.
Amyotrophic Lateral Sclerosis & Frontotemporal Degeneration|May 18, 2013
Myelin imaging in amyotrophic and primary lateral sclerosisShannon Kolind, Rakesh Sharma, Steven Knight, et al.
IEEE Journal of Biomedical and Health Informatics|March 2, 2026
A Novel Eigen-Volume-based Co-Activation Pattern Framework for Dynamic Functional Biomarkers of Multiple SclerosisFatemeh Valipour, Maryam Mohebbi, Mani Garousi, et al.
Neuroimage|December 14, 2011
Myelin water imaging reflects clinical variability in multiple sclerosisShannon Kolind, Lucy Matthews, Heidi Johansen-Berg, et al.
Magnetic Resonance in Medicine|January 22, 2020
Silent T<sub>1</sub> mapping using the variable flip angle method with B<sub>1</sub> correctionEmil Ljungberg, Tobias Wood, Ana Beatriz Solana, et al.
Frontiers in Neurology|June 12, 2023
Accounting for uncertainty in training data to improve machine learning performance in predicting new disease activity in early multiple sclerosisMaryam Tayyab, Luanne M Metz, David K B Li, et al.
Frontiers in Neurology|June 26, 2020
Both Stationary and Dynamic Functional Interhemispheric Connectivity Are Strongly Associated With Performance on Cognitive Tests in Multiple SclerosisSue-Jin Lin, Shannon Kolind, Aiping Liu, et al.
Plos One|February 26, 2016
Myelin Water Fraction Is Transiently Reduced after a Single Mild Traumatic Brain Injury--A Prospective Cohort Study in Collegiate Hockey PlayersAlexander D Wright, Michael Jarrett, Irene Vavasour, et al.
Pageof 6

Showing results (1-10 of 53) with videos related to

Sort By:
Pageof 6
The Lancet. Digital Health|December 16, 2020
Improving parkinsonism diagnosis with machine learningShawna Abel, Shannon Kolind
Magnetic Resonance Imaging|May 9, 2006
Insights into brain microstructure from the T2 distributionAlex MacKay, Cornelia Laule, Irene Vavasour, et al.
Magnetic Resonance Imaging|April 9, 2023
Neural network algorithms predict new diffusion MRI data for multi-compartmental analysis of brain microstructure in a clinical settingCayden Murray, Olayinka Oladosu, Manish Joshi, et al.
Amyotrophic Lateral Sclerosis & Frontotemporal Degeneration|May 18, 2013
Myelin imaging in amyotrophic and primary lateral sclerosisShannon Kolind, Rakesh Sharma, Steven Knight, et al.
IEEE Journal of Biomedical and Health Informatics|March 2, 2026
A Novel Eigen-Volume-based Co-Activation Pattern Framework for Dynamic Functional Biomarkers of Multiple SclerosisFatemeh Valipour, Maryam Mohebbi, Mani Garousi, et al.
Neuroimage|December 14, 2011
Myelin water imaging reflects clinical variability in multiple sclerosisShannon Kolind, Lucy Matthews, Heidi Johansen-Berg, et al.
Magnetic Resonance in Medicine|January 22, 2020
Silent T<sub>1</sub> mapping using the variable flip angle method with B<sub>1</sub> correctionEmil Ljungberg, Tobias Wood, Ana Beatriz Solana, et al.
Frontiers in Neurology|June 12, 2023
Accounting for uncertainty in training data to improve machine learning performance in predicting new disease activity in early multiple sclerosisMaryam Tayyab, Luanne M Metz, David K B Li, et al.
Frontiers in Neurology|June 26, 2020
Both Stationary and Dynamic Functional Interhemispheric Connectivity Are Strongly Associated With Performance on Cognitive Tests in Multiple SclerosisSue-Jin Lin, Shannon Kolind, Aiping Liu, et al.
Plos One|February 26, 2016
Myelin Water Fraction Is Transiently Reduced after a Single Mild Traumatic Brain Injury--A Prospective Cohort Study in Collegiate Hockey PlayersAlexander D Wright, Michael Jarrett, Irene Vavasour, et al.
Pageof 6