Work

Validation of semiautomated methods for quantifying cingulate cortical metrics in schizophrenia

Year: 2004

Type: article

Source: Psychiatry Research Neuroimaging

DOI: 10.1016/j.pscychresns.2004.07.003

Authors: J. Tilak Ratnanather, Lei Wang, Mary Beth Nebel, Malini Hosakere, Xiao Han, John G. Csernansky, Michael I. Miller

Institutions: Johns Hopkins University, Washington University in St. Louis

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: closed

Funders: National Institutes of Health, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Center for Research Resources

Awards: Resource for Quantitative Functional MRI, Automated 3D Analysis of Cortical Geometry in MR Images, Mapping Neurodevelopment Abnormality in Schizophrenia, G4552344433, G4596244791, Corticolimbic Degeneration and Treatment of Dementia, G5154230175, Neuromorphometry in Schizophrenia by Computer Algorithm

OpenAlex ID: W2112009927

FWCI: 4.449

Cites: 80

Cited by: 33

Related to: 10