Anatomically curated segmentation of human subcortical structures in high resolution magnetic resonance imaging: An open science approach

• Main Authors: R. Jarrett Rushmore (Author), Kyle Sunderland (Author), Holly Carrington (Author), Justine Chen (Author), Michael Halle (Author), Andras Lasso (Author), G. Papadimitriou (Author), N. Prunier (Author), Elizabeth Rizzoni (Author), Brynn Vessey (Author), Peter Wilson-Braun (Author), Yogesh Rathi (Author), Marek Kubicki (Author), Sylvain Bouix (Author), Edward Yeterian (Author), Nikos Makris (Author)
• Format: Book
• Published: Frontiers Media S.A., 2022-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Magnetic resonance imaging (MRI)-based brain segmentation has recently been revolutionized by deep learning methods. These methods use large numbers of annotated segmentations to train algorithms that have the potential to perform brain segmentations reliably and quickly. However, training data for...