Work

iTree: Fast and accurate image registration based on the combinative and incremental tree

Year: 2011

Type: conference-paper

Source: IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI)

DOI: 10.1109/isbi.2011.5872627

Authors: Hongjun Jia, Guorong Wu, Qian Wang, Minjeong Kim, Dinggang Shen

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

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Institutes of Health

OpenAlex ID: W2129657648

FWCI: 1.194

Cites: 13

Cited by: 10

Related to: 10