Work

Artifact- and content-specific quality assessment for MRI with image rulers

Year: 2022

Type: article

Source: Medical Image Analysis

DOI: 10.1016/j.media.2021.102344

Authors: Ke Lei, Ali B. Syed, Xucheng Zhu, John M. Pauly, Shreyas S. Vasanawala

Institutions: Stanford University, Stanford Medicine

Language: English

Topic: Image and Video Quality Assessment

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, GE Healthcare, National Institute of Biomedical Imaging and Bioengineering

Awards: Development and Validation of Radiation-Free Pediatric Renal Function Quantification, Rapid Robust Pediatric MRI

OpenAlex ID: W3213051832

FWCI: 2.78

Cites: 60

Cited by: 38

Related to: 10