Work

Comparison of automatic liver volumetry performance using different types of magnetic resonance images

Year: 2022

Type: article

Source: Magnetic Resonance Imaging

DOI: 10.1016/j.mri.2022.05.002

Authors: Sara L. Saunders, Justin M. Clark, Kyle Rudser, Anil Chauhan, Justin R. Ryder, Patrick J. Bolan

Institution: University of Minnesota

Language: English

Topic: Medical Image Segmentation Techniques

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, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Biomedical Imaging and Bioengineering, National Center for Advancing Translational Sciences

Awards: Enhancing Weight Loss Maintenance with GLP-1 in Adolescents with Severe Obesity, G235943272, G4927351349, G9000076473, Technology to Realize the Full Potential of UHF MRI

OpenAlex ID: W4229027164

FWCI: 0.403

Cites: 40

Cited by: 5

Related to: 10