Work

A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data

Year: 2016

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-46720-7_25

Authors: Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen

Institution: University of North Carolina at Chapel Hill

Language: English

Topic: 3D Shape Modeling and Analysis

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

Funders: National Institutes of Health, National Institute on Aging, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering

Awards: Infant Brain Measurement and Super-Resolution Atlas Construction, Quantifying Brain Abnormality by Multimodality Neuroimage Analysis, Diagnosis of Alzheimer's Disease Using Dynamic High-Order Brain Networks, Longitudinal Mapping of Human Brain Development in the First Years of Life, Fast, Robust Analysis of Large Population Data, 4D Cortical Surface Analysis Tools for Study of Early Brain Development in Typical and High-risk Infants, Constructing 4-dimensional Infant Cortical Surface Atlases, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, Robust White Matter Morphometry with Small Databases

OpenAlex ID: W2523892929

FWCI: 2.435

Cites: 7

Cited by: 5

Related to: 10