Optimizing EEG Graph Structure for Seizure Detection: An Information Bottleneck and Self-Supervised Learning Approach

Optimizing EEG Graph Structure for Seizure Detection: An Information Bottleneck and Self-Supervised Learning Approach explores A novel AI approach that learns denoised EEG graph structures and informative representations for improved seizure detection, offering clinically meaningful insights.. Commercial viability score: 7/10 in Medical AI.