Work

Evaluating an information theoretic approach for selecting multimodal data fusion methods

Year: 2025

Type: article

Source: Journal of Biomedical Informatics

DOI: 10.1016/j.jbi.2025.104833

Authors: Tengyue Zhang, Ruiwen Ding, Kha-Dinh Luong, William Hsu

Institutions: University of California, Los Angeles, University of California, Santa Barbara

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: V Foundation for Cancer Research, National Cancer Institute

Awards: EFIRM Liquid Biopsy Research Laboratory: Early Lung Cancer Assessment, The Boston University - UCLA Lung Cancer Biomarker Characterization Center

OpenAlex ID: W4410264133

FWCI: 3.433

Cites: 25

Cited by: 6

Related to: 10