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Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram.

, , , , и . CHIL, том 174 из Proceedings of Machine Learning Research, стр. 338-353. PMLR, (2022)

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Другие публикации лиц с тем же именем

Deep Learning–Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography, , , , , , , и . Journal of the American Heart Association, (апреля 2020)ECGT2T: Electrocardiogram synthesis from Two asynchronous leads to Ten leads., и . CoRR, (2021)On the Inductive Bias Transfer with Knowledge Distillation for Real-World Data., , и . AMLTS, том 3375 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)Automatic Detection of Noisy Electrocardiogram Signals Without Explicit Noise Labels., , , и . ICPR Workshops (2), том 13644 из Lecture Notes in Computer Science, стр. 634-643. Springer, (2022)Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram., , , , и . CHIL, том 174 из Proceedings of Machine Learning Research, стр. 338-353. PMLR, (2022)Optimizing Neural Network Scale for ECG Classification., , и . CoRR, (2023)ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram., , , , и . CoRR, (2023)Efficient Data Augmentation Policy for Electrocardiograms., , , , и . CIKM, стр. 4153-4157. ACM, (2022)Text-to-ECG: 12-Lead Electrocardiogram Synthesis Conditioned on Clinical Text Reports., , , , , и . ICASSP, стр. 1-5. IEEE, (2023)ECGT2T: Towards Synthesizing Twelve-Lead Electrocardiograms from Two Asynchronous Leads., , , и . ICASSP, стр. 1-5. IEEE, (2023)