EEG motor imagery decoding: A framework for comparative analysis with channel attention mechanisms. - Martin Wimpff; Leonardo Gizzi; Jan Zerfowski; Bin Yang 009 (CoRR, 2023)

Calibration-free online test-time adaptation for electroencephalography motor imagery decoding. - Martin Wimpff; Mario Döbler; Bin Yang 009 (BCI, 2024)

Towards calibration-free online EEG motor imagery decoding using Deep Learning. - Martin Wimpff; Jan Zerfowski; Bin Yang 009 (ESANN, 2024)

Exploring Cortical Responses to Blood Flow Restriction through Deep Learning. - Jonas Koellner; Martin Wimpff; Leonardo Gizzi; Ivan Vujaklija; Bin Yang 009 (ICORR, 2025)

Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal Study. - Martin Wimpff; Bruno Aristimunha; Sylvain Chevallier; Bin Yang (CoRR, 2025)

Tailoring deep learning for real-time brain-computer interfaces: From offline models to calibration-free online decoding. - Martin Wimpff; Jan Zerfowski; Bin Yang 009 (CoRR, 2025)