Work

Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework

Year: 2015

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-19992-4_45

Authors: Islem Rekik, Gang Li, Weili Lin, 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: 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

OpenAlex ID: W2268198950

FWCI: 0.82

Cites: 14

Cited by: 11

Related to: 10