AIMC Topic: Heart Diseases

Clear Filters Showing 141 to 150 of 198 articles

Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jan 7, 2019
BACKGROUND: Phase contrast (PC) cardiovascular magnetic resonance (CMR) is widely employed for flow quantification, but analysis typically requires time consuming manual segmentation which can require human correction. Advances in machine learning ha...
Middle Aged Hemodynamics United States Aortic Valve Female Reproducibility of Results Aged Male Proof of Concept Study Blood Flow Velocity Aorta Myocardial Perfusion Imaging Magnetic Resonance Imaging, Cine Predictive Value of Tests Machine Learning Heart Diseases Prospective Studies Image Interpretation, Computer-Assisted Retrospective Studies Automation Humans
View on PubMed DOI

The analysis of the effects of acute rheumatic fever in childhood on cardiac disease with data mining.

International journal of medical informatics Dec 27, 2018
BACKGROUND: Acute rheumatic fever (ARF) is an important disease that is frequently seen in Turkey, it is necessary to develop solutions to cure the disease. It is believed that new data analysis methods may be applied to this disease, and this may be...
Rheumatic Fever Humans Algorithms Child Decision Trees Bayes Theorem Data Mining Female Heart Diseases Male Adolescent Child, Preschool
View on PubMed DOI

Deep Learning in Cardiology.

IEEE reviews in biomedical engineering Dec 10, 2018
The medical field is creating large amount of data that physicians are unable to decipher and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or for creating insights using big data. Deep lear...
Humans Heart Diseases Cardiology Machine Learning Physicians Deep Learning Big Data
View on PubMed DOI

A deep learning framework for unsupervised affine and deformable image registration.

Medical image analysis Dec 8, 2018
Image registration, the process of aligning two or more images, is the core technique of many (semi-)automatic medical image analysis tasks. Recent studies have shown that deep learning methods, notably convolutional neural networks (ConvNets), can b...
Heart Diseases Radiography, Thoracic Magnetic Resonance Imaging, Cine Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Unsupervised Machine Learning Humans Neural Networks, Computer Tomography, X-Ray Computed
View on PubMed DOI

Deep learning for predicting in-hospital mortality among heart disease patients based on echocardiography.

Echocardiography (Mount Kisco, N.Y.) Dec 4, 2018
BACKGROUND: Heart disease (HD) is the leading cause of global death; there are several mortality prediction models of HD for identifying critically-ill patients and for guiding decision making. The existing models, however, cannot be used during init...
Humans Retrospective Studies Female Cohort Studies Hospital Mortality Echocardiography Predictive Value of Tests Heart Reproducibility of Results Middle Aged Risk Factors Heart Diseases Risk Assessment Aged Deep Learning Male
View on PubMed DOI

Direct Segmentation-Based Full Quantification for Left Ventricle via Deep Multi-Task Regression Learning Network.

IEEE journal of biomedical and health informatics Nov 1, 2018
Quantitative analysis of the heart is extremely necessary and significant for detecting and diagnosing heart disease, yet there are still some challenges. In this study, we propose a new end-to-end segmentation-based deep multi-task regression learni...
Magnetic Resonance Imaging Regression Analysis Heart Ventricles Heart Diseases Image Interpretation, Computer-Assisted Adult Middle Aged Deep Learning Adolescent Humans Aged Aged, 80 and over Young Adult
View on PubMed DOI

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Sep 14, 2018
BACKGROUND: Cardiovascular resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accurate quantification of the cardiac chamber volume, ejection fraction ...
Deep Learning Predictive Value of Tests Male Heart Diseases Ventricular Function, Left Humans Magnetic Resonance Imaging, Cine Image Interpretation, Computer-Assisted Stroke Volume Databases, Factual Observer Variation Neural Networks, Computer Ventricular Function, Right Middle Aged Automation Female Myocardial Contraction Reproducibility of Results Aged
View on PubMed DOI

A novel training method to preserve generalization of RBPNN classifiers applied to ECG signals diagnosis.

Neural networks : the official journal of the International Neural Network Society Sep 8, 2018
In this paper a novel training technique is proposed to offer an efficient solution for neural network training in non-trivial and critical applications such as the diagnosis of health threatening illness. The presented technique aims to enhance the ...
Humans Neural Networks, Computer Heart Diseases Electrocardiography Models, Statistical
View on PubMed DOI

Automation, machine learning, and artificial intelligence in echocardiography: A brave new world.

Echocardiography (Mount Kisco, N.Y.) Jul 5, 2018
Automation, machine learning, and artificial intelligence (AI) are changing the landscape of echocardiography providing complimentary tools to physicians to enhance patient care. Multiple vendor software programs have incorporated automation to impro...
Image Interpretation, Computer-Assisted Automation Algorithms Reproducibility of Results Echocardiography Heart Diseases Humans Artificial Intelligence Machine Learning
View on PubMed DOI

Granulomatosis with polyangiitis in Northeastern Brazil: study of 25 cases and review of the literature.

Advances in rheumatology (London, England) Jun 28, 2018
BACKGROUND: Little has been published about the epidemiology of Granulomatosis with polyangiitis (GPA) in South America, especially in the intertropical zone, and no epidemiological data from Brazil are available. The purpose of the present study was...
Brazil Granulomatosis with Polyangiitis Disease Progression Nervous System Diseases Adult Humans Skin Diseases Lung Diseases Eye Diseases Cross-Sectional Studies Creatinine Adrenal Cortex Hormones Retrospective Studies Proteinuria Male Arthritis Heart Diseases Acute Kidney Injury Middle Aged Gastrointestinal Diseases Delayed Diagnosis Female
View on PubMed DOI
Popular Topics
Recent Journals