Work

Skull-stripping with machine learning deformable organisms

Year: 2014

Type: article

Source: Journal of Neuroscience Methods

DOI: 10.1016/j.jneumeth.2014.07.023

Authors: Gautam Prasad, Anand A. Joshi, Albert Feng, Arthur W. Toga, Paul M. Thompson, Demetri Terzopoulos

Institutions: University of Southern California, Stanford University, Keck Hospital of USC, University of California, Los Angeles

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Institute on Aging, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering

Awards: UCLA Alzheimer's Disease Research Center, Alzheimer's disease risk analyzed using population imaging genomics, Empowering Personalized Medicine: Integrating Imaging, Genetics, and Biomarkers, A Multidimensional Alzheimer's Disease Brain Atlas, ENIGMA Center for Worldwide Medicine, Imaging & Genomics, Laboratory of Neuro Imaging Resource (LONIR), Predicting Brain Changes in HIV/AIDS

OpenAlex ID: W2025578998

FWCI: 0.596

Cites: 75

Cited by: 8

Related to: 10