1. Inside the "brain" of an artificial neural network: an interpretable deep learning approach to paroxysmal atrial fibrillation diagnosis from electrocardiogram signals during sinus rhythm. (3rd October 2022) Authors: Pantelidis, P; Oikonomou, E; Lampsas, S; Souvaliotis, N; Spartalis, M; Vavuranakis, M A; Bampa, M; Papapetrou, P; Siasos, G; Vavuranakis, M Journal: European heart journal Issue: Volume 43(2022)Supplement 2 Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Inside the "brain" of an artificial neural network: an interpretable deep learning approach to paroxysmal atrial fibrillation diagnosis from electrocardiogram signals during sinus rhythm. Issue 4 (22nd December 2022) Authors: Pantelidis, P; Oikonomou, E; Lampsas, S; Souvaliotis, N; Spartalis, M; Vavuranakis, M A; Bampa, M; Papapetrou, P; Siasos, G; Vavuranakis, M Journal: European heart journal Issue: Volume 3:Issue 4(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Optimising and validating deep learning approaches for diagnosing atrial fibrillation from few-lead ambulatory electrocardiogram signals. (19th May 2022) Authors: Pantelidis, P; Oikonomou, E; Souvaliotis, N; Spartalis, M; Bampa, M; Papapetrou, P; Siasos, G; Vavuranakis, M Journal: Europace Issue: Volume 24:Supplement 1(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗