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Artificial Intelligence in Cardiac Imaging
Nirschl et al, PLOS OneArtificial intelligence (ai) techniques are increasingly applied to cardiovascular (cv) medicine in cardiac imaging analysis. Here is the latest research.
Top 20 most recent papers
A learning-based automatic segmentation and quantification method on left ventricle in gated myocardial perfusion SPECT imaging: A feasibility study
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear CardiologyJanuary 28, 2019
Tonghe WangXiao-feng Yang
14
7
Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification
Artificial Intelligence in MedicineNovember 28, 2018
Imon BanerjeeMatthew P Lungren
16
51
Optimising complementary soft tissue synchrotron X-ray microtomography for reversibly-stained central nervous system samples
Scientific ReportsAugust 13, 2018
Merrick C StrottonElizabeth J Bradbury
9
15
Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences
bioRxivJune 5, 2018
Jason Alan FriesJames H Priest
11
34
New Trends in Quantitative Nuclear Cardiology Methods
Current Cardiovascular Imaging ReportsJanuary 1, 2018
Javier GómezPiotr J Slomka
Detection of Left Ventricular Hypertrophy Using Bayesian Additive Regression Trees: The MESA
Journal of the American Heart AssociationMarch 5, 2019
Rodney A SparapaniElsayed Z. Soliman
1
Cardiovascular Event Prediction by Machine Learning: The Multi-Ethnic Study of Atherosclerosis
Circulation ResearchOctober 13, 2017
Bharath Ambale-VenkateshJoão Augusto Costa Lima
25
1
1
182
Quantitative cardiac MRI
Journal of Magnetic Resonance Imaging : JMRIMay 20, 2019
Andreas SeraphimJames Charles Moon
Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning-Based Tissue Characterization
Current Atherosclerosis ReportsJanuary 25, 2019
Narendra N KhannaJasjit S Suri
3
1
1
28
Digital pathology and artificial intelligence
The Lancet OncologyMay 1, 2019
Muhammad Khalid Khan NiaziMetin Nafi Gurcan
114
1
99
1
Machine Learning and Deep Neural Networks in Thoracic and Cardiovascular Imaging
Journal of Thoracic ImagingApril 23, 2019
Tara A RetsonAlbert Hsiao
3
31
Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery
IEEE Transactions on Medical ImagingAugust 9, 2019
Gaurav N ShettyLeslie Lei Ying
Photonic Crystal-Enhanced Fluorescence Imaging Immunoassay for Cardiovascular Disease Biomarker Screening with Machine Learning Analysis
Sensors and Actuators. B, ChemicalJuly 1, 2019
Kenneth J SquireAlan Xiaolong Wang
Artificial Intelligence Will Transform Cardiac Imaging-Opportunities and Challenges
Frontiers in Cardiovascular MedicineSeptember 10, 2019
Steffen Ellebaek PetersenTim Leiner
43
1
22
An interactive assistant for patients with cardiac implantable electronic devices: A study protocol of the LUCY trial
MedicineSeptember 1, 2018
Joanna MichalikMarcin Grabowski
Current applications of big data and machine learning in cardiology
Journal of Geriatric Cardiology : JGCAugust 1, 2019
Renato CuocoloMario Petretta
Raman Spectroscopy: Guiding Light for the Extracellular Matrix
Frontiers in Bioengineering and BiotechnologyNovember 1, 2019
Mads Sylvest BergholtMichael B Albro
14
1
Artificial Intelligence in Cardiovascular Medicine
Current Treatment Options in Cardiovascular MedicineMay 14, 2019
Karthik SeetharamPartho P Sengupta
2
31
Automation, machine learning, and artificial intelligence in echocardiography: A brave new world
EchocardiographyJuly 6, 2018
Sumeet GandhiChi-Ming Chow
Machine learning based automated dynamic quantification of left heart chamber volumes
European Heart Journal Cardiovascular ImagingOctober 12, 2018
Akhil NarangRoberto M. Lang
42
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