Minho Lee, PhD

Assistant professor

Assistant Professor, School of Engineering and Digital Sciences, Department of Computer Science

https://orcid.org/0000-0002-5730-1715

Emailminho.lee@nu.edu.kz

Source: Scopus
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Interpretable artificial intelligence for detection of psychiatric disorders based on multi-modal neuroimaging data
Lee, M., Fazli, S. & Viderman, D.
Project: Monitored by Research Administration

73 Citations
5 h-Index
9 Conference contribution
5 Article
2 Paper

Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks
Bang, J. S., Lee, M. H., Fazli, S., Guan, C. & Lee, S. W., 2021, (Accepted/In press) In: IEEE Transactions on Neural Networks and Learning Systems.
Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus)
Inter-subject correlations during natural viewing: A filter-bank approach
Gait, A., Duisenbinov, V., Lee, M. H., Biesmann, F. & Fazli, S., Jul 2020, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020. Institute of Electrical and Electronics Engineers Inc., p. 200-203 4 p. 9176083. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2020-July).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Towards Paradigm-Independent Brain Computer Interfaces
Li, A., Alimanov, K., Fazli, S. & Lee, M. H., Feb 2020, 8th International Winter Conference on Brain-Computer Interface, BCI 2020. Institute of Electrical and Electronics Engineers Inc., 9061657. (8th International Winter Conference on Brain-Computer Interface, BCI 2020).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Citation (Scopus)
Improving the Performance of SSVEP BCI with Short Response Time by Temporal Alignments Enhanced CCA
Phyo Wai, A. A., Lee, M. H., Lee, S. W. & Guan, C., May 16 2019, 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. IEEE Computer Society, p. 155-158 4 p. 8716985. (International IEEE/EMBS Conference on Neural Engineering, NER; vol. 2019-March).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Citations (Scopus)
Robust detection of event-related potentials in a user-voluntary short-term imagery task
Lee, M. H., Williamson, J., Kee, Y. J., Fazli, S. & Lee, S. W., Jan 1 2019, In: PLoS One. 14, 12, e0226236.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Citation (Scopus)

Interpretable artificial intelligence for detection of psychiatric disorders based on multi-modal neuroimaging data

Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks

Inter-subject correlations during natural viewing: A filter-bank approach

Towards Paradigm-Independent Brain Computer Interfaces

Improving the Performance of SSVEP BCI with Short Response Time by Temporal Alignments Enhanced CCA

Robust detection of event-related potentials in a user-voluntary short-term imagery task