Google Scholar: https://scholar.google.co.kr/citations?hl=ko&user=NYTO1o8AAAAJ
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 Multidisciplinary 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)
† Equal contributor, *: corresponding author; IF is based on when the corresponding article is published.