Work

Image Registration Driven by Combined Probabilistic and Geometric Descriptors

Year: 2010

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-642-15745-5_74

Authors: Linh Ha, Marcel Prastawa, Guido Gerig, John H. Gilmore, Cláudio T. Silva, Sarang Joshi

Institutions: University of Utah, University of North Carolina at Chapel Hill

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, National Institutes of Health, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: G2211031860, G229738346, G2431482247, Prospective Studies of the Pathogenesis of Schizophrenia, National Alliance for Medical Image Computing (NAMIC), G4411643199, 3D Cerebral Vessel Location for Surgical Planning, G4847335975, Resource for MRI of Neurodegenerative Disorders, CRI: IAD: A Service-Oriented Architecture for The Computation, Visualization, and Management of Scientific Data, Online Tools for Customizable ADNI Atlases: Technology and Application

OpenAlex ID: W1839923409

FWCI: 1.921

Cites: 18

Cited by: 8

Related to: 10