Journal articles, conference papers and preprints. A continuously updated list is available on Google Scholar.
2026
Preprint
Real-Time EEG Cap Electrode Detection for Guided Point-of-Care Placement
W Lehn-Schiøler, MS Nilsson, NS Detlefsen
arXiv:2607.20142 · July 2026
2026
Preprint
Mechanistic Interpretability of EEG Foundation Models via Sparse Autoencoders
W Lehn-Schiøler, MR Kjær, R Thapa, MG Pedersen, AM Storgaard, N Williams, R Gatej, T Lehn-Schiøler, A Brink-Kjær, S Puthusserypady, S Beniczky, J Zou, LK Hansen
arXiv:2605.13930 · May 2026
2026
Preprint
Clinical Utility and Feasibility of Smartphone-based EEG in Kenya: A Multicenter Observational Study
W Lehn-Schiøler, N Enkhtsetseg, AM Storgaard, MG Pedersen, D Rice, G Wambugu, NJ Fidele, M Cacic Hribljan, AA Arbune, S Armand Larsen, S Beniczky
arXiv:2605.08157 · May 2026
2026
Preprint
Pretraining on Sleep Data Improves non-Sleep Biosignal Tasks
W Lehn-Schiøler, MR Kjær, P Hempel, MG Pedersen, R Thapa, B He, N Spicher, A Brink-Kjær, LK Hansen, E Mignot
arXiv:2605.02500 · May 2026
2026
Abstract
Feasibility of a Smartphone-based EEG Recording System for Neurological Evaluation in Kenya
N Enkhtsetseg, W Lehn-Schiøler, NJ Fidele, T Lehn-Schiøler, et al.
Neurology, vol. 106 (11_Supplement_1), 3407 · AAN Annual Meeting abstract (P2-10.001)
2024
24 citations
Low-cost portable EEG device for bridging the diagnostic gap in resource-limited areas
S Armand Larsen, L Klok, W Lehn-Schiøler, R Gatej, S Beniczky
Epileptic Disorders, vol. 26 (5), pp. 694–700
2024
4 citations
SPEED: Scalable Preprocessing of EEG Data for Self-Supervised Learning
A Gjølbye, L Skerath, W Lehn-Schiøler, N Langer, LK Hansen
IEEE MLSP 2024 · International Workshop on Machine Learning for Signal Processing
2023
14 citations
Concept-based explainability for an EEG transformer model
AG Madsen, W Lehn-Schiøler, Á Jónsdóttir, B Arnardóttir, LK Hansen
IEEE MLSP 2023 · International Workshop on Machine Learning for Signal Processing