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Explaining Black-Box Automated Electrocardiogram Classification to Cardiologists.

, , , , , и . CinC, стр. 1-4. IEEE, (2020)

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Luiz Antônio Marcuschi

Antonio Luiz Prazeres

Luiz Cláudio Ribeiro-Rodrigues

Thomas Luiz

João António Muralha Ribeiro Farinha

 

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Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease., , , , , , , , , и 5 other автор(ы). npj Digit. Medicine, (2024)CODE-test: An annotated 12-lead ECG dataset., , , , , , , , , и 2 other автор(ы). (января 2020)Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study., , , , , , , , , и 2 other автор(ы). CoRR, (2019)On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG., , , , и . IEEE Trans. Biomed. Eng., 70 (7): 2227-2236 (июля 2023)Explaining End-to-End ECG Automated Diagnosis Using Contextual Features., , , , , и . ECML/PKDD (5), том 12461 из Lecture Notes in Computer Science, стр. 204-219. Springer, (2020)Explaining Black-Box Automated Electrocardiogram Classification to Cardiologists., , , , , и . CinC, стр. 1-4. IEEE, (2020)On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG., , , , и . CoRR, (2022)Sami-Trop: 12-lead ECG traces with age and mortality annotations., , , , , , , , , и 1 other автор(ы). (июня 2021)Medical Imaging Processing Architecture on ATMOSPHERE Federated Platform., , , , , , , и . CLOSER, стр. 589-594. SciTePress, (2019)Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network., , , , , , , , , и . CoRR, (2018)