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On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG., , , , and . CoRR, (2022)Sami-Trop: 12-lead ECG traces with age and mortality annotations., , , , , , , , , and 1 other author(s). (June 2021)Automatic 12-lead ECG Classification Using a Convolutional Network Ensemble., , , , , , and . CinC, page 1-4. IEEE, (2020)CODE-test: An annotated 12-lead ECG dataset., , , , , , , , , and 2 other author(s). (January 2020)Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease., , , , , , , , , and 5 other author(s). npj Digit. Medicine, (2024)Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study., , , , , , , , , and 2 other author(s). CoRR, (2019)On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG., , , , and . IEEE Trans. Biomed. Eng., 70 (7): 2227-2236 (July 2023)Explaining Black-Box Automated Electrocardiogram Classification to Cardiologists., , , , , and . CinC, page 1-4. IEEE, (2020)Explaining End-to-End ECG Automated Diagnosis Using Contextual Features., , , , , and . ECML/PKDD (5), volume 12461 of Lecture Notes in Computer Science, page 204-219. Springer, (2020)Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network., , , , , , , , , and . CoRR, (2018)