Teresa Trenkwalder
0000-0001-9077-1447
3 papers found
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Machine learning identifies pathophysiologically and prognostically informative phenotypes among patients with mitral regurgitation undergoing transcatheter edge-to-edge repair
Harnessing feature extraction capacities from a pre-trained convolutional neural network (VGG-16) for the unsupervised distinction of aortic outflow velocity profiles in patients with severe aortic stenosis
Left ventricular geometry and function in early repolarization: results from the population-based Gutenberg Health Study
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