标题
Deep learning for cardiovascular medicine: a practical primer
作者
关键词
-
出版物
EUROPEAN HEART JOURNAL
Volume -, Issue -, Pages -
出版商
Oxford University Press (OUP)
发表日期
2019-01-23
DOI
10.1093/eurheartj/ehz056
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Detecting atrial fibrillation by deep convolutional neural networks
- (2018) Yong Xia et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Future Direction for Using Artificial Intelligence to Predict and Manage Hypertension
- (2018) Chayakrit Krittanawong et al. CURRENT HYPERTENSION REPORTS
- OUP accepted manuscript
- (2018) EUROPEAN HEART JOURNAL
- Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
- (2018) Ozan Oktay et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Crowdfunding for cardiovascular research
- (2018) Chayakrit Krittanawong et al. INTERNATIONAL JOURNAL OF CARDIOLOGY
- Smartwatch Algorithm for Automated Detection of Atrial Fibrillation
- (2018) Joseph M. Bumgarner et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Artificial Intelligence in Cardiology
- (2018) Kipp W. Johnson et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis
- (2018) Majd Zreik et al. MEDICAL IMAGE ANALYSIS
- A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue
- (2018) Jeffrey J. Nirschl et al. PLoS One
- Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT
- (2018) Julian Betancur et al. JACC-Cardiovascular Imaging
- Comparing SVM and ANN based Machine Learning Methods for Species Identification of Food Contaminating Beetles
- (2018) Halil Bisgin et al. Scientific Reports
- Improving prediction of heart transplantation outcome using deep learning techniques
- (2018) Dennis Medved et al. Scientific Reports
- Distinct ECG Phenotypes Identified in Hypertrophic Cardiomyopathy Using Machine Learning Associate With Arrhythmic Risk Markers
- (2018) Aurore Lyon et al. Frontiers in Physiology
- Association of of Atrial Fibrillation Clinical Phenotypes With Treatment Patterns and Outcomes
- (2018) Taku Inohara et al. JAMA Cardiology
- Passive Detection of Atrial Fibrillation Using a Commercially Available Smartwatch
- (2018) Geoffrey H. Tison et al. JAMA Cardiology
- Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
- (2018) Ryan Poplin et al. Nature Biomedical Engineering
- 2018 ESC Guidelines for the management of cardiovascular diseases during pregnancy
- (2018) Vera Regitz-Zagrosek et al. EUROPEAN HEART JOURNAL
- Extracting biological age from biomedical data via deep learning: too much of a good thing?
- (2018) Timothy V. Pyrkov et al. Scientific Reports
- Chest Radiographs in Congestive Heart Failure: Visualizing Neural Network Learning
- (2018) Jarrel C. Y. Seah et al. RADIOLOGY
- Multi-views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images
- (2017) Gongning Luo et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- A fused deep learning architecture for viewpoint classification of echocardiography
- (2017) Xiaohong Gao et al. Information Fusion
- Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
- (2017) Babak Ehteshami Bejnordi et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Artificial Intelligence in Precision Cardiovascular Medicine
- (2017) Chayakrit Krittanawong et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- Deep neural mapping support vector machines
- (2017) Yujian Li et al. NEURAL NETWORKS
- Identifying Genotypes and Phenotypes of Cardiovascular Diseases Using Big Data Analytics
- (2017) Chayakrit Krittanawong et al. JAMA Cardiology
- 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS
- (2016) Paulus Kirchhof et al. EUROPEAN HEART JOURNAL
- A systems BIOlogy Study to TAilored Treatment in Chronic Heart Failure: rationale, design, and baseline characteristics of BIOSTAT-CHF
- (2016) Adriaan A. Voors et al. EUROPEAN JOURNAL OF HEART FAILURE
- 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure
- (2016) Piotr Ponikowski et al. EUROPEAN JOURNAL OF HEART FAILURE
- Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography
- (2016) Olivier Bernard et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Association of Arrhythmia-Related Genetic Variants With Phenotypes Documented in Electronic Medical Records
- (2016) Sara L. Van Driest et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
- (2016) Varun Gulshan et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- 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
- Mastering the game of Go with deep neural networks and tree search
- (2016) David Silver et al. NATURE
- Toward an Integration of Deep Learning and Neuroscience
- (2016) Adam H. Marblestone et al. Frontiers in Computational Neuroscience
- Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration
- (2015) Karel G.M. Moons et al. ANNALS OF INTERNAL MEDICINE
- Detection of atrial fibrillation using contactless facial video monitoring
- (2015) Jean-Philippe Couderc et al. HEART RHYTHM
- Fully Automated Versus Standard Tracking of Left Ventricular Ejection Fraction and Longitudinal Strain
- (2015) Christian Knackstedt et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Human-level control through deep reinforcement learning
- (2015) Volodymyr Mnih et al. NATURE
- Towards better clinical prediction models: seven steps for development and an ABCD for validation
- (2014) E. W. Steyerberg et al. EUROPEAN HEART JOURNAL
- Assessing the goodness of fit of personal risk models
- (2014) Gail Gong et al. STATISTICS IN MEDICINE
- Calibration plots for risk prediction models in the presence of competing risks
- (2014) Thomas A. Gerds et al. STATISTICS IN MEDICINE
- Addressing missing data mechanism uncertainty using multiple-model multiple imputation: Application to a longitudinal clinical trial
- (2012) Juned Siddique et al. Annals of Applied Statistics
- ESC Guidelines for the management of grown-up congenital heart disease (new version 2010): The Task Force on the Management of Grown-up Congenital Heart Disease of the European Society of Cardiology (ESC)
- (2010) et al. EUROPEAN HEART JOURNAL
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Measuring classifier performance: a coherent alternative to the area under the ROC curve
- (2009) David J. Hand MACHINE LEARNING
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