Victor Mor-Avi to Machine Learning
This is a "connection" page, showing publications Victor Mor-Avi has written about Machine Learning.
Connection Strength
0.946
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Use of Machine Learning to Improve Echocardiographic Image Interpretation Workflow: A Disruptive Paradigm Change? J Am Soc Echocardiogr. 2021 04; 34(4):443-445.
Score: 0.163
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Machine learning based quantification of ejection and filling parameters by fully automated dynamic measurement of left ventricular volumes from cardiac magnetic resonance images. Magn Reson Imaging. 2020 04; 67:28-32.
Score: 0.153
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Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction Without Volume Measurements Using a Machine Learning Algorithm Mimicking a Human Expert. Circ Cardiovasc Imaging. 2019 09; 12(9):e009303.
Score: 0.150
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Machine Learning-Based Three-Dimensional Echocardiographic Quantification of Right Ventricular Size and Function: Validation Against Cardiac Magnetic Resonance. J Am Soc Echocardiogr. 2019 08; 32(8):969-977.
Score: 0.147
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Machine learning based automated dynamic quantification of left heart chamber volumes. Eur Heart J Cardiovasc Imaging. 2019 May 01; 20(5):541-549.
Score: 0.146
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Automated, machine learning-based, 3D echocardiographic quantification of left ventricular mass. Echocardiography. 2019 02; 36(2):312-319.
Score: 0.143
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Comparison of machine learning and deep learning for view identification from cardiac magnetic resonance images. Clin Imaging. 2022 Feb; 82:121-126.
Score: 0.044