0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessThe manual dGM segmentation protocol showed excellent reproducibility within and between raters. Moreover, combined with FASTSURF a reliable reference set of dGM segmentations can be produced with lower workload.
Alexandra de Sitter, Jessica Burggraaff, Fabian Bartel, Miklós Palotai, Yaou Liu, Jorge Simões, Serena Ruggieri, Katharina Schregel, Stefan Ropele, Maria A. Rocca, Claudio Gasperini, Antonio Gallo, Menno M. Schoonheim, Michael A�mann, Marios Yiannakas, Deborah Pareto, Mike P. Wattjes, Jaume Sastre‐Garriga, Ludwig Kappos, Massimo Filippi, Christian Enzinger, Jette Lautrup Frederiksen, Bernard M.J. Uitdehaag, Charles R.G. Guttmann, Frederik Barkhof, Hugo Vrenken (2021). Development and evaluation of a manual segmentation protocol for deep grey matter in multiple sclerosis: Towards accelerated semi-automated references. , 30, DOI: https://doi.org/10.1016/j.nicl.2021.102659.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2021
Authors
26
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1016/j.nicl.2021.102659
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access