Fully automated segmentation of the left ventricle in cine cardiac MRI using neural network regression

Convolutional neural network regression for short-axis left ventricle segmentation in cardiac cine MR sequences

(2017) Li Kuo Tan et al.   MEDICAL IMAGE ANALYSIS

A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI

(2016) M.R. Avendi et al.   MEDICAL IMAGE ANALYSIS

Global and Regional Patterns in Cardiovascular Mortality From 1990 to 2013

(2015) Gregory A. Roth et al.   CIRCULATION

Semiautomatic detection of myocardial contours in order to investigate normal values of the left ventricular trabeculated mass using MRI

(2015) Stéphanie Bricq et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Deep learning

(2015) Yann LeCun et al.   NATURE

Motion corrected LV quantification based on 3D modelling for improved functional assessment in cardiac MRI

(2015) Y M Liew et al.   PHYSICS IN MEDICINE AND BIOLOGY

State of the Heart: CMR in Coronary Artery Disease

(2013) Yang Aziz et al.   Current Medical Imaging Reviews

A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images

(2013) Avan Suinesiaputra et al.   MEDICAL IMAGE ANALYSIS

A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI

(2010) Xiahai Zhuang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A review of segmentation methods in short axis cardiac MR images

(2010) Caroline Petitjean et al.   MEDICAL IMAGE ANALYSIS

In-line Automated Tracking for Ventricular Function With Magnetic Resonance Imaging

(2010) Bo Li et al.   JACC-Cardiovascular Imaging

Cardiac magnetic resonance versus transthoracic echocardiography for the assessment of cardiac volumes and regional function after myocardial infarction: an intrasubject comparison using simultaneous intrasubject recordings

(2009) Blake I Gardner et al.   Cardiovascular Ultrasound