3 citations · 4 across the 2 of their papers we have counts for
3 papers
Generalizing electrocardiogram delineation -- Training convolutional neural networks with synthetic data augmentation
Guillermo Jimenez-Perez, Juan Acosta, Alejandro Alcaine +1
Obtaining per-beat information is a key task in the analysis of cardiac electrocardiograms (ECG), as many downstream diagnosis tasks are dependent on ECG-based measurements. Those…
ECG-DelNet: Delineation of Ambulatory Electrocardiograms with Mixed Quality Labeling Using Neural Networks
Guillermo Jimenez-Perez, Alejandro Alcaine, Oscar Camara
Electrocardiogram (ECG) detection and delineation are key steps for numerous tasks in clinical practice, as ECG is the most performed non-invasive test for assessing cardiac condit…
A rule-based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts
Ruben Doste, David Soto-Iglesias, Gabriel Bernardino +7
Rule-based methods are often used for assigning fiber orientation to cardiac anatomical models. However, existing methods have been developed using data mostly from the left ventri…