Work

A dynamic tree-based registration could handle possible large deformations among MR brain images

Year: 2016

Type: article

Source: Computerized Medical Imaging and Graphics

DOI: 10.1016/j.compmedimag.2016.04.005

Authors: Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen

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

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: green

Funders: National Institutes of Health, National Institute on Aging, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering

Awards: G1529334509, G2098091136, G2391590095, G470804809, Quantifying Brain Abnormality by Multimodality Neuroimage Analysis, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, G7662282662, G8341723830, G9000040056, G9000104217, G9000108347, G9000184678, G9000281210

OpenAlex ID: W2348864255

FWCI: 0.225

Cites: 32

Cited by: 1

Related to: 10