Cardiac magnetic resonance findings predicting mortality in patients with pulmonary arterial hypertension: a systematic review and meta-analysis

VJM Baggen, T Leiner, MC Post, AP van Dijk… - European …, 2016 - Springer
Objectives To provide a comprehensive overview of all reported cardiac magnetic
resonance (CMR) findings that predict clinical deterioration in pulmonary arterial …

Mini review: Deep learning for atrial segmentation from late gadolinium-enhanced MRIs

K Jamart, Z **ong, GD Maso Talou… - Frontiers in …, 2020 - frontiersin.org
Segmentation and 3D reconstruction of the human atria is of crucial importance for precise
diagnosis and treatment of atrial fibrillation, the most common cardiac arrhythmia. However …

Right ventricle segmentation from cardiac MRI: a collation study

C Petitjean, MA Zuluaga, W Bai, JN Dacher… - Medical image …, 2015 - Elsevier
Abstract Magnetic Resonance Imaging (MRI), a reference examination for cardiac
morphology and function in humans, allows to image the cardiac right ventricle (RV) with …

Automatic segmentation of the right ventricle from cardiac MRI using a learning‐based approach

MR Avendi, A Kheradvar… - Magnetic resonance in …, 2017 - Wiley Online Library
Purpose This study aims to accurately segment the right ventricle (RV) from cardiac MRI
using a fully automatic learning‐based method. Methods The proposed method uses deep …

A probabilistic patch-based label fusion model for multi-atlas segmentation with registration refinement: application to cardiac MR images

W Bai, W Shi, DP O'regan, T Tong… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
The evaluation of ventricular function is important for the diagnosis of cardiovascular
diseases. It typically involves measurement of the left ventricular (LV) mass and LV cavity …

Dilated-inception net: multi-scale feature aggregation for cardiac right ventricle segmentation

J Li, ZL Yu, Z Gu, H Liu, Y Li - IEEE Transactions on Biomedical …, 2019 - ieeexplore.ieee.org
Segmentation of cardiac ventricle from magnetic resonance images is significant for cardiac
disease diagnosis, progression assessment, and monitoring cardiac conditions. Manual …

A deep learning network for right ventricle segmentation in short-axis MRI

G Luo, R An, K Wang, S Dong… - 2016 Computing in …, 2016 - ieeexplore.ieee.org
The segmentation of the right ventricle (RV) myocardium on MRI is a prerequisite step for the
evaluation of RV structure and function, which is of great importance in the diagnose of most …

Preoperative right ventricular dysfunction is a strong predictor of 3 years survival after cardiac surgery

J Peyrou, C Chauvel, A Pathak, M Simon… - Clinical Research in …, 2017 - Springer
Background Prognostic value of right ventricular (RV) systolic function is well established in
valvular disease, heart failure but has not been evaluated in patients undergoing cardiac …

[HTML][HTML] ν-net: deep learning for generalized biventricular mass and function parameters using multicenter cardiac MRI data

HB Winther, C Hundt, B Schmidt, C Czerner… - JACC: Cardiovascular …, 2018 - jacc.org
Cardiac magnetic resonance imaging–derived biventricular mass and function parameters,
such as end-systolic volume, end-diastolic volume, ejection fraction, stroke volume (SV), and …

A GPU-accelerated deformable image registration algorithm with applications to right ventricular segmentation

K Punithakumar, P Boulanger, M Noga - IEEE Access, 2017 - ieeexplore.ieee.org
Delineation of the cardiac right ventricle is essential in generating clinical measurements
such as ejection fraction and stroke volume. Given manual segmentation on the first frame …