Clinically Feasible and Accurate View Classification of Echocardiographic Images Using Deep Learning

Deep Learning for Assessment of Left Ventricular Ejection Fraction from Echocardiographic Images

(2020) Kenya Kusunose et al.   JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY

A Deep Learning Approach for Assessment of Regional Wall Motion Abnormality From Echocardiographic Images

(2019) Kenya Kusunose et al.   JACC-Cardiovascular Imaging

State-of-the-Art Deep Learning in Cardiovascular Image Analysis

(2019) Geert Litjens et al.   JACC-Cardiovascular Imaging

Machine Learning Analysis of Left Ventricular Function to Characterize Heart Failure With Preserved Ejection Fraction

(2018) Sergio Sanchez-Martinez et al.   Circulation-Cardiovascular Imaging

Imaging Heart Failure With Artificial Intelligence

(2018) Sirish Shrestha et al.   Circulation-Cardiovascular Imaging

Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT

(2018) Julian Betancur et al.   JACC-Cardiovascular Imaging

Diagnosis of Heart Failure With Preserved Ejection Fraction: Machine Learning of Spatiotemporal Variations in Left Ventricular Deformation

(2018) Mahdi Tabassian et al.   JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY

Fully Automated Echocardiogram Interpretation in Clinical Practice

(2018) Jeffrey Zhang et al.   CIRCULATION

Guidelines for Performing a Comprehensive Transthoracic Echocardiographic Examination in Adults: Recommendations from the American Society of Echocardiography

(2018) Carol Mitchell et al.   JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY

Real-Time Standard View Classification in Transthoracic Echocardiography Using Convolutional Neural Networks

(2018) Andreas Østvik et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Deep learning

(2015) Yann LeCun et al.   NATURE

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE