Work

An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer

Year: 2021

Type: article

Source: Computerized Medical Imaging and Graphics

DOI: 10.1016/j.compmedimag.2021.101894

Authors: Tiancheng He, Joy Nolte Fong, Linda W. Moore, Chika F. Ezeana, David Victor, Mukul Divatia, Matthew Vasquez, R. Mark Ghobrial, Stephen T.C. Wong

Institutions: Houston Methodist, Weill Cornell Medicine, Houston Methodist Research Institute

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: green

Funders: John S. Dunn Foundation, Ting Tsung and Wei Fong Chao Family Foundation, National Institutes of Health, National Cancer Institute

Awards: Spatiotemporal modeling of cancer-niche interactions in breast cancer bone metastasis, Convergent AI for Precise Breast Cancer Risk Assessment

OpenAlex ID: W3135798895

FWCI: 5.416

Cites: 57

Cited by: 63

Related to: 10