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Miss Klaske Rynke Siegersma

Amsterdam University Medical Centre (AUMC), Amsterdam (Netherlands (The))
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Misclassification of sex by deep neural networks reveals novel ECG characteristics that explain a higher risk of mortality in women and in men
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Misclassification of sex by deep neural networks reveals novel ECG characteristics that explain a higher risk of mortality in women and in men
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ARGUS Hackathon: Development of a machine learning algorithm to exclude coronary macro- and microvascular disease in a clinical care dataset.
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ARGUS Hackathon: Development of a machine learning algorithm to exclude coronary macro- and microvascular disease in a clinical care dataset.
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Development of a decision support tool to predict outcome of coronary CT calcium score and angiography: Study Design and Data Preparation
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Development of a decision support tool to predict outcome of coronary CT calcium score and angiography: Study Design and Data Preparation
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Prediction of the risk of valve surgery and adverse events in patients with aortic stenosis: myocardial tissue characterization with radiomics
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Prediction of the risk of valve surgery and adverse events in patients with aortic stenosis: myocardial tissue characterization with radiomics
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Discrimination of fibrotic myocardium from healthy myocardium patients with aortic stenosis: a radiomics approach with machine learning models
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Discrimination of fibrotic myocardium from healthy myocardium patients with aortic stenosis: a radiomics approach with machine learning models
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