Work

Comprehensive Morphometric Analysis to Identify Key Neuroimaging Biomarkers for the Diagnosis of Adult Hydrocephalus Using Artificial Intelligence

Year: 2024

Type: article

Study design: Observational Study

Source: Neurosurgery

DOI: 10.1227/neu.0000000000003248

Authors: Seifollah Gholampour, Jacob Benjamin Rosen, Michelangelo Pagan, Sonja Chen, Ibrahim Gomaa, Arshia Dehghan, Mark Graham Waterstraat

Institution: University of Chicago

Language: English

Topic: Cerebrospinal fluid and hydrocephalus

Subfield: Cellular and Molecular Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4404123157

FWCI: 1.409

Cites: 28

Cited by: 9

Related to: 10