Work

A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks

Year: 2018

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2018.05.049

Authors: Rafael Ceschin, Alexandria Zahner, William Reynolds, Jenna Gaesser, Giulio Zuccoli, Cecilia W. Lo, Vanathi Gopalakrishnan, Ashok Panigrahy

Institutions: University of Pittsburgh, UPMC Health System, Children's Hospital of Pittsburgh, University of Pittsburgh Medical Center

Language: English

Topic: Fetal and Pediatric Neurological Disorders

Subfield: Pediatrics, Perinatology and Child Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: U.S. Department of Defense, Pennsylvania Department of Health, National Heart, Lung, and Blood Institute, National Institute of Neurological Disorders and Stroke, U.S. National Library of Medicine

Awards: G1449305495, G2799697681, CILIA DYSFUNCTION, BRAIN DYSPLASIA AND NEURODEVELOPMENTAL OUTCOME IN CONGENITAL HEART DISEASE, Advanced MR Imaging of Perinatal White Matter Injury, G661707138, SVRIII: Brain Connectome and Neurodevelopment Outcomes

OpenAlex ID: W2804692111

FWCI: 5.144

Cites: 74

Cited by: 45

Related to: 10