Work

Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration

Year: 2013

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-642-38868-2_42

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

Institution: 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: green

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

Awards: G1234639804, G1529334509, G1761222865, G2391590095, G2686953907, G3258782064, G4798393751, Quantifying Brain Abnormality by Multimodality Neuroimage Analysis, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, G7662282662, G8341723830, G93323634

OpenAlex ID: W1626045299

FWCI: 0.638

Cites: 18

Cited by: 6

Related to: 10