Cited by
PTB-XL, a large publicly available electrocardiography dataset (v1.0.1)
1358 publications cite any version of this project or its primary paper, newest first.
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Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram
YongâYeon Jo, Younghoon Cho, Soo Youn Lee et al. International Journal of Cardiology, 2020. Cites: paper -
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age
Dani Kiyasseh, Tingting Zhu, David Andrew Clifton. arXiv (Cornell University), 2020. Cites: paper -
PCPs: Patient Cardiac Prototypes
Dani Kiyasseh, Tingting Zhu, David Andrew Clifton. arXiv (Cornell University), 2020. Cites: paper -
The use of machine translation algorithm based on residual and LSTM neural network in translation teaching
Beibei Ren. PLoS ONE, 2020. Cites: paper -
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020
Erick Andres Perez Alday, Annie Gu, Amit Jasvant Shah et al. Physiological Measurement, 2020. Cites: paper -
An Approach for Multichannel ECG Compression Using HOSVD
Yuliyan Slaveykov Velchev. 2020. Cites: paper -
Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL
Nils Strodthoff, Patrick Wagner, Tobias Schaeffter et al. IEEE Journal of Biomedical and Health Informatics, 2020. Cites: paper -
A Generative Adversarial Approach To ECG Synthesis And Denoising
Karol Antczak. arXiv (Cornell University), 2020. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.