Work

Improved image registration by sparse patch-based deformation estimation

Year: 2014

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2014.10.019

Authors: Minjeong Kim, Guorong Wu, Qian Wang, Seong-Whan Lee, Dinggang Shen

Institutions: University of North Carolina at Chapel Hill, Shanghai Jiao Tong University, Korea University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Ministry of Science, ICT and Future Planning, National Institutes of Health, National Institute on Aging, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: G1234639804, G1529334509, G2391590095, G2686953907, G3258782064, Assessing Large-scale Brain Connectivities in Mild Cognitive Impairment, G4798393751, Quantifying Brain Abnormality by Multimodality Neuroimage Analysis, A Joint Segmentation and Registration Framework for Early Brain Development Study, G6575006414, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, G7662282662, G9000040056, G9000108347, G9000184678, G93323634

OpenAlex ID: W2073710995

FWCI: 2.368

Cites: 59

Cited by: 40

Related to: 10