Development of novel machine learning model for right ventricular quantification on echocardiography—A multimodality validation study

Machine Learning–Based Three-Dimensional Echocardiographic Quantification of Right Ventricular Size and Function: Validation Against Cardiac Magnetic Resonance

(2019) Davide Genovese et al.   JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY

Artificial Intelligence in Cardiology

(2018) Kipp W. Johnson et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Fully Automated Echocardiogram Interpretation in Clinical Practice

(2018) Jeffrey Zhang et al.   CIRCULATION

MR-based synthetic CT generation using a deep convolutional neural network method

(2017) Xiao Han   MEDICAL PHYSICS

The Prevalence, Correlates, and Impact on Cardiac Mortality of Right Ventricular Dysfunction in Nonischemic Cardiomyopathy

(2017) Andreas Pueschner et al.   JACC-Cardiovascular Imaging

Echocardiographic Linear Dimensions for Assessment of Right Ventricular Chamber Volume as Demonstrated by Cardiac Magnetic Resonance

(2016) Jiwon Kim et al.   JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY

Fully Automated Versus Standard Tracking of Left Ventricular Ejection Fraction and Longitudinal Strain

(2015) Christian Knackstedt et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Guidelines for the Echocardiographic Assessment of the Right Heart in Adults: A Report from the American Society of Echocardiography

(2010) Lawrence G. Rudski et al.   JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY

Right Ventricular Function in Cardiovascular Disease, Part I

(2008) François Haddad et al.   CIRCULATION

The right ventricle: anatomy, physiology and clinical imaging

(2008) F. Sheehan et al.   HEART