Denoising and artefact removal for transthoracic echocardiographic imaging in congenital heart disease: utility of diagnosis specific deep learning algorithms

Consensus recommendations for echocardiography in adults with congenital heart defects from the International Society of Adult Congenital Heart Disease (ISACHD)

(2018) Wei Li et al.   INTERNATIONAL JOURNAL OF CARDIOLOGY

Artificial Intelligence in Cardiology

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

Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning-proof of concept in congenital heart disease

(2018) Andreas Hauptmann et al.   MAGNETIC RESONANCE IN MEDICINE

Utility of machine learning algorithms in assessing patients with a systemic right ventricle

(2018) Gerhard-Paul Diller et al.   European Heart Journal-Cardiovascular Imaging

Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View

(2017) Amir H. Abdi et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep learning

(2015) Yann LeCun et al.   NATURE

ESC Guidelines for the management of grown-up congenital heart disease (new version 2010): The Task Force on the Management of Grown-up Congenital Heart Disease of the European Society of Cardiology (ESC)

(2010) et al.   EUROPEAN HEART JOURNAL