Cited by

You Snooze You Win: The PhysioNet/Computing in Cardiology Challenge 2018 (v1.0.0)

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202 publications cite any version of this project or its primary paper, newest first.

• Using Auxiliary Loss to Improve Sleep Arousal Detection With Neural Network
  Bálint Varga, Márton Görög, Péter Hajas. Computing in cardiology, 2018. Cites: paper
• Deep learning in the cross-time frequency domain for sleep staging from a single-lead electrocardiogram
  Qiao Li, Qichen Li, Chengyu Liu et al. Physiological Measurement, 2018. Cites: paper

Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.