Work

Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction

Year: 2019

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-32251-9_17

Authors: Dan Hu, Han Zhang, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen, for UNC/UMN Baby Connectome Project Consortium

Institution: University of North Carolina at Chapel Hill

Language: English

Topic: Functional Brain Connectivity Studies

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Institute of Mental Health

Awards: Parcellating Infant Cerebral Cortex based on Developmental Patterns of Multimodal MRI, UNC/UMN Baby Connectome Project, 4D Cortical Surface Analysis Tools for Study of Early Brain Development in Typical and High-risk Infants, Continued Development of Infant Brain Analysis Tools

OpenAlex ID: W2980206718

FWCI: 0.865

Cites: 14

Cited by: 4

Related to: 10