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

David R van Nederpelt

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Neuroradiology|August 1, 2023
Reliability of brain atrophy measurements in multiple sclerosis using MRI: an assessment of six freely available software packages for cross-sectional analysesDavid R van Nederpelt, Houshang Amiri, Iman Brouwer, et al.
European Radiology|January 3, 2022
The effect of gadolinium-based contrast-agents on automated brain atrophy measurements by FreeSurfer in patients with multiple sclerosisIngrid Anne Lie, Emma Kerklingh, Kristin Wesnes, et al.
Neuroimage. Clinical|February 20, 2026
Longitudinal MRI-based changes in intracranial volume and skull thickness observed in both metachromatic leukodystrophy and multiple sclerosisGuus H J Vorst, Nicole I Wolf, David R van Nederpelt, et al.
Neuroimage. Reports|June 26, 2025
Repeatability and reproducibility of brain age estimates in multiple sclerosis for three publicly available modelsLonneke Bos, David R van Nederpelt, J H Cole, et al.
Neuroimage. Clinical|October 8, 2024
Scanner-specific optimisation of automated lesion segmentation in MSDavid R van Nederpelt, Giuseppe Pontillo, Mar Barrantes-Cepas, et al.
European Radiology|April 16, 2025
User requirements for quantitative radiological reports in multiple sclerosisDavid R van Nederpelt, Zoe C Mendelsohn, Lonneke Bos, et al.
Journal of Neurology, Neurosurgery, and Psychiatry|February 4, 2026
Brain atrophy rates vary with age in relapsing-remitting multiple sclerosisSezgi Kaçar, David R van Nederpelt, Julia R Jelgerhuis, et al.
Journal of Neurology|July 15, 2024
Digital outcome measures are associated with brain atrophy in patients with multiple sclerosisPam C G Molenaar, Samantha Noteboom, David R van Nederpelt, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Neuroradiology|August 1, 2023
Reliability of brain atrophy measurements in multiple sclerosis using MRI: an assessment of six freely available software packages for cross-sectional analysesDavid R van Nederpelt, Houshang Amiri, Iman Brouwer, et al.
European Radiology|January 3, 2022
The effect of gadolinium-based contrast-agents on automated brain atrophy measurements by FreeSurfer in patients with multiple sclerosisIngrid Anne Lie, Emma Kerklingh, Kristin Wesnes, et al.
Neuroimage. Clinical|February 20, 2026
Longitudinal MRI-based changes in intracranial volume and skull thickness observed in both metachromatic leukodystrophy and multiple sclerosisGuus H J Vorst, Nicole I Wolf, David R van Nederpelt, et al.
Neuroimage. Reports|June 26, 2025
Repeatability and reproducibility of brain age estimates in multiple sclerosis for three publicly available modelsLonneke Bos, David R van Nederpelt, J H Cole, et al.
Neuroimage. Clinical|October 8, 2024
Scanner-specific optimisation of automated lesion segmentation in MSDavid R van Nederpelt, Giuseppe Pontillo, Mar Barrantes-Cepas, et al.
European Radiology|April 16, 2025
User requirements for quantitative radiological reports in multiple sclerosisDavid R van Nederpelt, Zoe C Mendelsohn, Lonneke Bos, et al.
Journal of Neurology, Neurosurgery, and Psychiatry|February 4, 2026
Brain atrophy rates vary with age in relapsing-remitting multiple sclerosisSezgi Kaçar, David R van Nederpelt, Julia R Jelgerhuis, et al.
Journal of Neurology|July 15, 2024
Digital outcome measures are associated with brain atrophy in patients with multiple sclerosisPam C G Molenaar, Samantha Noteboom, David R van Nederpelt, et al.
Pageof 1