U-Sleep: resilient high-frequency sleep staging

Frontiers A two-branch trade-off neural network for balanced scoring sleep stages on multiple cohorts

Automated multi-model deep neural network for sleep stage scoring with unfiltered clinical data

Advanced EEG analysis reveals the complex beauty of the sleeping brain

Frontiers Deep learning-based algorithm accurately classifies sleep stages in preadolescent children with sleep-disordered breathing symptoms and age-matched controls

PDF] U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging - ScienceDirect

PDF) Sleep-Energy: An Energy Optimization Method to Sleep Stage Scoring

PDF] ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph Learning with Attentive Temporal Aggregation

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An open-source, high-performance tool for automated sleep staging

Sleep staging based on single-channel EEG and EOG with Tiny U-Net - ScienceDirect