Work

MARM: Multiscale Adaptive Regression Models for Neuroimaging Data

Year: 2009

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-642-02498-6_26

Authors: Hongtu Zhu, Yimei Li, Joseph G. Ibrahim, Weili Lin, Dinggang Shen

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

Funders: U.S. Public Health Service, National Institute on Aging, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources

Awards: G138073231, Continued Development of HAMMER Algorithm for Fast Registration, UNC Clinical and Translational Science Award, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, Characterization of Normal Brain Development Using Parallel MRI, G7593887913, G762724113, Longitudinal Analysis of Biomedical Imaging Data, Inference in Regression Models with Missing Covariates, Bayesian Approaches to Model Selection for Survival Data, G966564617

OpenAlex ID: W2138608464

FWCI: 2.47

Cites: 22

Cited by: 8

Related to: 10