Work

Segmentation-based deep learning emphysema quantification using chest CT: improved accuracy and robustness vs LAA-950

Year: 2026

Type: article

Source: European Radiology

DOI: 10.1007/s00330-026-12800-4

Authors: Saman Sotoudeh-Paima, Mobina Ghojogh Nejad, Bryan O’Sullivan-Murphy, Neil R. MacIntyre, David A. Lynch, Ehsan Samei, Ehsan Abadi

Institutions: Duke University, Duke Medical Center, National Jewish Health

Language: English

Topic: Chronic Obstructive Pulmonary Disease (COPD) Research

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of Biomedical Imaging and Bioengineering

Awards: G490047167, (2 of 2) Genetic Epidemiology of COPD, (1 of 2) Genetic Epidemiology of COPD, G7245733741, Center for Virtual Imaging Trials

OpenAlex ID: W7212049474

FWCI: 4.4

Cites: 46

Cited by: 1

Related to: