Work

Multi-feature deep learning for deriving synthetic hematocrit without blood sampling: Initial results from the SCMR registry

Year: 2025

Type: article

Source: Journal of Cardiovascular Magnetic Resonance

DOI: 10.1016/j.jocmr.2024.101299

Authors: Zhuoan Li, Khalid Youssef, Mehdi Amian, Dilek M. Yalcinkaya, Venkateshwar Polsani, Michael Elliott, Rohan Dharmakumar, Robert Judd, Dipan Shah, Orlando Simonetti, Matthew Tong, Behzad Sharif

Institutions: Purdue University in Indianapolis, Indiana University – Purdue University Indianapolis, Piedmont Atlanta Hospital, Indiana University School of Medicine, Houston Methodist, The Ohio State University

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,000

OpenAlex ID: W4406982510

FWCI: 0.578

Cites:

Cited by: 1

Related to: 10