Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
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 …
resonance (CMR) findings that predict clinical deterioration in pulmonary arterial …
Mini review: Deep learning for atrial segmentation from late gadolinium-enhanced MRIs
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 …
diagnosis and treatment of atrial fibrillation, the most common cardiac arrhythmia. However …
Right ventricle segmentation from cardiac MRI: a collation study
Abstract Magnetic Resonance Imaging (MRI), a reference examination for cardiac
morphology and function in humans, allows to image the cardiac right ventricle (RV) with …
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 …
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
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 …
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 …
disease diagnosis, progression assessment, and monitoring cardiac conditions. Manual …
A deep learning network for right ventricle segmentation in short-axis MRI
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 …
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 …
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
Cardiac magnetic resonance imaging–derived biventricular mass and function parameters,
such as end-systolic volume, end-diastolic volume, ejection fraction, stroke volume (SV), and …
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
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 …
such as ejection fraction and stroke volume. Given manual segmentation on the first frame …