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Inside the "brain" of an artificial neural network: an interpretable deep learning approach to paroxysmal atrial fibrillation diagnosis from electrocardiogram signals during sinus rhythm
Event: ESC Congress 2022
Topic: Artificial Intelligence (Machine Learning, Deep Learning)
Session: e-Cardiology/Digital health - Artificial intelligence 1
Optimising and validating deep learning approaches for diagnosing atrial fibrillation from few-lead ambulatory electrocardiogram signals
Event: EHRA 2022
Topic: Artificial Intelligence (Machine Learning, Deep Learning)
Session: e-Cardiology award session
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