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Daniel Gedon

Showing results (1-10 of 5) with videos related to

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Scientific Reports|November 15, 2022
Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patientsStefan Gustafsson, Daniel Gedon, Erik Lampa, et al.
Journal of Electrocardiology|September 29, 2023
End-to-end risk prediction of atrial fibrillation from the 12-Lead ECG by deep neural networksTheogene Habineza, Antônio H Ribeiro, Daniel Gedon, et al.
Scientific Reports|July 3, 2024
Evaluating regression and probabilistic methods for ECG-based electrolyte predictionPhilipp von Bachmann, Daniel Gedon, Fredrik K Gustafsson, et al.
Plos Neglected Tropical Diseases|July 3, 2023
Screening for Chagas disease from the electrocardiogram using a deep neural networkCarl Jidling, Daniel Gedon, Thomas B Schön, et al.
Nature Communications|May 13, 2026
A deep learning ECG model for identification and localization of occlusion myocardial infarctionStefan Gustafsson, Antônio H Ribeiro, Daniel Gedon, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Scientific Reports|November 15, 2022
Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patientsStefan Gustafsson, Daniel Gedon, Erik Lampa, et al.
Journal of Electrocardiology|September 29, 2023
End-to-end risk prediction of atrial fibrillation from the 12-Lead ECG by deep neural networksTheogene Habineza, Antônio H Ribeiro, Daniel Gedon, et al.
Scientific Reports|July 3, 2024
Evaluating regression and probabilistic methods for ECG-based electrolyte predictionPhilipp von Bachmann, Daniel Gedon, Fredrik K Gustafsson, et al.
Plos Neglected Tropical Diseases|July 3, 2023
Screening for Chagas disease from the electrocardiogram using a deep neural networkCarl Jidling, Daniel Gedon, Thomas B Schön, et al.
Nature Communications|May 13, 2026
A deep learning ECG model for identification and localization of occlusion myocardial infarctionStefan Gustafsson, Antônio H Ribeiro, Daniel Gedon, et al.
Pageof 1