Work

Hippocampus and amygdala volumes from magnetic resonance images in children: Assessing accuracy of FreeSurfer and FSL against manual segmentation

Year: 2016

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2016.01.038

Authors: Dorothee Schoemaker, Claudia Buss, Kevin Head, Curt A. Sandman, Elysia P. Davis, M. Mallar Chakravarty, Serge Gauthier, Jens C. Pruessner

Institutions: Douglas Mental Health University Institute, McGill University Research Centre for Studies in Aging, McGill University, University of California, Irvine, Charité – Universitätsmedizin Berlin, University of Denver

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Canadian Anesthesiologists' Society, National Institutes of Health, U.S. Public Health Service, Fonds de Recherche du Québec - Santé, National Institute of Mental Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: Fragmented early-life experiences, aberrant circuit maturation, emotional vulnerabilities, Fetal Programming of Early Development, G2626634991, G2862248452, Prenatal Glucocorticoids Influence Brain and Behavior, G7781309660

OpenAlex ID: W2292780717

FWCI: 9.415

Cites: 62

Cited by: 163

Related to: 10