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

Maxence Wynen

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Computers in Biology and Medicine|August 24, 2025
ConfLUNet: Multiple sclerosis lesion instance segmentation in presence of confluent lesionsMaxence Wynen, Pedro M Gordaliza, Maxime Istasse, et al.
Neuroimage. Clinical|December 1, 2022
BMAT: An open-source BIDS managing and analysis toolColin Vanden Bulcke, Maxence Wynen, Jules Detobel, et al.
Neuroimage. Clinical|October 6, 2022
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: Emerging machine learning techniques and future avenuesFrancesco La Rosa, Maxence Wynen, Omar Al-Louzi, et al.
Brain Communications|March 26, 2026
Machine learning-based combination of the central vein sign, cortical lesions and paramagnetic rim lesions: a web-based tool for the diagnosis of multiple sclerosisMaxence Wynen, Colin Vanden Bulcke, Serena Borrelli, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|September 12, 2025
A Novel Convolutional Neural Network for Automated Multiple Sclerosis Brain Lesion SegmentationEmma Dereskewicz, Francesco La Rosa, Jonadab Dos Santos Silva, et al.
Ebiomedicine|July 12, 2023
B cell depletion therapy does not resolve chronic active multiple sclerosis lesionsPietro Maggi, Colin Vanden Bulcke, Edoardo Pedrini, et al.
Medrxiv : the Preprint Server for Health Sciences|June 6, 2025
FLAMeS: A Robust Deep Learning Model for Automated Multiple Sclerosis Lesion SegmentationEmma Dereskewicz, Francesco La Rosa, Jonadab Dos Santos Silva, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Computers in Biology and Medicine|August 24, 2025
ConfLUNet: Multiple sclerosis lesion instance segmentation in presence of confluent lesionsMaxence Wynen, Pedro M Gordaliza, Maxime Istasse, et al.
Neuroimage. Clinical|December 1, 2022
BMAT: An open-source BIDS managing and analysis toolColin Vanden Bulcke, Maxence Wynen, Jules Detobel, et al.
Neuroimage. Clinical|October 6, 2022
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: Emerging machine learning techniques and future avenuesFrancesco La Rosa, Maxence Wynen, Omar Al-Louzi, et al.
Brain Communications|March 26, 2026
Machine learning-based combination of the central vein sign, cortical lesions and paramagnetic rim lesions: a web-based tool for the diagnosis of multiple sclerosisMaxence Wynen, Colin Vanden Bulcke, Serena Borrelli, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|September 12, 2025
A Novel Convolutional Neural Network for Automated Multiple Sclerosis Brain Lesion SegmentationEmma Dereskewicz, Francesco La Rosa, Jonadab Dos Santos Silva, et al.
Ebiomedicine|July 12, 2023
B cell depletion therapy does not resolve chronic active multiple sclerosis lesionsPietro Maggi, Colin Vanden Bulcke, Edoardo Pedrini, et al.
Medrxiv : the Preprint Server for Health Sciences|June 6, 2025
FLAMeS: A Robust Deep Learning Model for Automated Multiple Sclerosis Lesion SegmentationEmma Dereskewicz, Francesco La Rosa, Jonadab Dos Santos Silva, et al.
Pageof 1