M. Lee, L. R. Sanz, A. Barra, A. Wolff, J. O. Nieminen, M. Boly, O. Bodart, J. Annen, A. Thibaut, M. Rosanova, S. Casarotto, R. Panda, V. Bonhomme, M. Massimini, G. Tononi, S. Laureys, O. Gosseries, and S.-W. Lee, “Quantifying Arousal and Awareness in Altered States of Consciousness using Interpretable Deep Learning,” Nature Communications, Vol. 13, No. 1, 2022, pp.1-14.  (2021-JCR-IF: 17.694, Top 7.43% in Mutidisciplinary Sciences)

D.-Y. Lee†, M. Lee†, and S.-W. Lee, “Decoding Imagined Speech based on Deep Metric Learning for Intuitive BCI Communication,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 29, 2021, pp. 1363-1374. (2020-JCR-IF: 3.802, Top 9.56% in Rehabilitation)

M. Lee†, J.-H. Jeong†, Y.-H. Kim, and S.-W. Lee, “Decoding Figure Tapping with the Affected Hand in Chronic Stroke Patients During Motor Imagery and Execution,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 29, 2021, pp. 1099-1109. (2020-JCR-IF: 3.802, Top 9.56% in Rehabilitation)