Work

Assessing the feasibility of deep learning-based attenuation correction using photon emission data in 18F-FDG images for dedicated head and neck PET scanners

Year: 2025

Type: article

Source: Biomedical Physics & Engineering Express

DOI: 10.1088/2057-1976/ae08ba

Authors: Mahsa Shahrbabaki Mofrad, Ali Ghafari, Amin Amiri Tehranizadeh, Farahnaz Aghahosseini, Mohammad Reza Ay, Saeed Farzenefar, Peyman Sheikhzadeh

Institutions: Tehran University of Medical Sciences, Tabriz University of Medical Sciences, Mashhad University of Medical Sciences

Language: English

Topic: Medical Imaging Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4414317197

FWCI: 1.09

Cites: 21

Cited by: 2

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