Automated estimation of echocardiogram image quality in hospitalized patients
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Automated estimation of echocardiogram image quality in hospitalized patients
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-11-19
DOI
10.1007/s10554-020-01981-8
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Reduced variability of visual left ventricular ejection fraction assessment with reference images: The Japanese Association of Young Echocardiography Fellows multicenter study
- (2018) Kenya Kusunose et al. Journal of Cardiology
- Intraobserver and interobserver reproducibility of M-mode and B-mode acquired mitral annular plane systolic excursion (MAPSE) and its dependency on echocardiographic image quality in children
- (2018) Kai O. Hensel et al. PLoS One
- Fully Automated Echocardiogram Interpretation in Clinical Practice
- (2018) Jeffrey Zhang et al. CIRCULATION
- 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
- Three-Dimensional Echocardiographic Automated Quantification of Left Heart Chamber Volumes Using an Adaptive Analytics Algorithm: Feasibility and Impact of Image Quality in Nonselected Patients
- (2017) Diego Medvedofsky et al. JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY
- Automatic apical view classification of echocardiograms using a discriminative learning dictionary
- (2017) Hanan Khamis et al. MEDICAL IMAGE ANALYSIS
- Phenomapping for the Identification of Hypertensive Patients with the Myocardial Substrate for Heart Failure with Preserved Ejection Fraction
- (2017) Daniel H. Katz et al. Journal of Cardiovascular Translational Research
- Cognitive Machine-Learning Algorithm for Cardiac ImagingCLINICAL PERSPECTIVE
- (2016) Partho P. Sengupta et al. Circulation-Cardiovascular Imaging
- Focused Critical Care Echocardiography
- (2016) Jonathan Gaudet et al. CRITICAL CARE MEDICINE
- Guidelines for the Appropriate Use of Bedside General and Cardiac Ultrasonography in the Evaluation of Critically Ill Patients—Part II
- (2016) Alexander Levitov et al. CRITICAL CARE MEDICINE
- Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography
- (2016) Sukrit Narula et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Recommendations for Cardiac Chamber Quantification by Echocardiography in Adults: An Update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging
- (2015) Roberto M. Lang et al. JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY
- Tests for Regression Models Fitted to Survey Data
- (2014) Thomas Lumley et al. AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS
- Two-sample rank tests under complex sampling
- (2013) T. Lumley et al. BIOMETRIKA
- The Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods
- (2011) G. Carneiro et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal
- (2008) Babak Mohammadzadeh Asl et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started