Work

Optimal Data-Driven Sparse Parameterization of Diffeomorphisms for Population Analysis

Year: 2011

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-642-22092-0_11

Authors: Sandy Durrleman, Marcel Prastawa, Guido Gerig, Sarang Joshi

Institution: University of Utah

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 Biomedical Imaging and Bioengineering, National Center for Research Resources, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: G2460102017, National Alliance for Medical Image Computing (NAMIC), G4411643199, Resource for MRI of Neurodegenerative Disorders, Online Tools for Customizable ADNI Atlases: Technology and Application, A Longitudinal Brain and Behavior Study of Autism From Infancy Through Adolescence

OpenAlex ID: W1490552200

FWCI: 2.388

Cites: 17

Cited by: 35

Related to: 10