Work

Using synthetic data generation to train a cardiac motion tag tracking neural network

Year: 2021

Type: article

Source: Medical Image Analysis

DOI: 10.1016/j.media.2021.102223

Authors: Michael Loecher, Luigi E. Perotti, Daniel B. Ennis

Institutions: Stanford Medicine, Stanford University, University of Central Florida, Stanford Cardiovascular Institute

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: bronze

Funders: National Institutes of Health, National Heart, Lung, and Blood Institute

Awards: A New Framework for Understanding the Mechanisms of Diastolic Dysfunction, Validating Cardiac MRI Biomarkers and Genotype-Phenotype Correlations for DMD, Using Atrial Mechanics To Identify Fibrosis In Patients with Atrial Fibrillation

OpenAlex ID: W3201124108

FWCI: 3.303

Cites: 43

Cited by: 35

Related to: 10