2 citations · 2 across the 3 of their papers we have counts for
4 papers · 1 filter
SleepPairNet: Learning Multimodal Pediatric Sleep Representations with Random-Pair Cross-Attention
Saurav Raj Pandey, Harlin Lee
Analyzing physiological sleep signals is important for assessing sleep quality and detecting sleep-related disorders. Learning inter-modal relationships across physiological signal…
BiTimeCrossNet: Time-Aware Self-Supervised Learning for Pediatric Sleep
Saurav Raj Pandey, Harlin Lee
We present BiTimeCrossNet (BTCNet), a multimodal self-supervised learning framework for long physiological recordings such as overnight sleep studies. While many existing approache…
Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets
Cem Ata Baykara, Saurav Raj Pandey, Ali Burak Ünal +2
Developing accurate and generalizable epileptic seizure prediction models from electroencephalography (EEG) data across multiple clinical sites is hindered by patient privacy regul…
PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals
Saurav R. Pandey, Aaqib Saeed, Harlin Lee
Pediatric sleep is an important but often overlooked area in health informatics. We present PedSleepMAE, a generative model that fully leverages multimodal pediatric sleep signals…