Work

AI-based spectral metal artifact reduction algorithm for improved iodine detection in virtual monoenergetic images: a quantitative assessment for interventional oncology applications

Year: 2025

Type: conference-paper

Source: SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling

DOI: 10.1117/12.3048954

Authors: Andrea Ferrero, Wenchao Cao, Andrew Missert, Christopher Favazza

Institutions: Mayo Clinic, Thomas Jefferson University

Language: English

Topic: Advanced X-ray and CT Imaging

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4409231597

FWCI:

Cites: 8

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Related to: 10