Work

Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework

Year: 2007

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-540-73273-0_3

Authors: Kilian M. Pohl, Ron Kikinis, William M. Wells

Institutions: Brigham and Women's Hospital, Harvard University, MIT Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology

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 Institutes of Health, National Institute of Neurological Disorders and Stroke, National Institute of Environmental Health Sciences, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources

Awards: Morphometry Biomedical Informatics Research Network, G339341716, National Alliance for Medical Image Computing (NAMIC), G497257379, Neuroimaging Analysis Center, G8465572040, G889942767, G895992527

OpenAlex ID: W2138921550

FWCI: 3.828

Cites: 26

Cited by: 25

Related to: 10