Work

Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features

Year: 2014

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-10470-6_39

Authors: Yanrong Guo, Guorong Wu, Leah A. Commander, Stephanie Szary, Valerie Jewells, Weili Lin, Dinggang Shen

Institutions: University of North Carolina at Chapel Hill, Duke University Hospital

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: 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: Infant Brain Measurement and Super-Resolution Atlas Construction, Assessing Large-scale Brain Connectivities in Mild Cognitive Impairment, Quantifying Brain Abnormality by Multimodality Neuroimage Analysis, Longitudinal Mapping of Human Brain Development in the First Years of Life, Fast, Robust Analysis of Large Population Data, A Joint Segmentation and Registration Framework for Early Brain Development Study

OpenAlex ID: W308431700

FWCI: 4.304

Cites: 8

Cited by: 53

Related to: 10