X. Zhao, J. Solé-Casals, H. Sugano, and T. Tanaka, “Seizure onset zone classification based on imbalanced iEEG with data augmentation,” J. Neural Eng., Nov. 2022.19 (6), 065001
Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jordi Sole-Casal,s Guoxu Zhou, Takumi Mitsuhashi, Hidenori Sugano, Noboru Yoshida, and Jianting Cao, “Classification of the Epileptic Seizure Onset Zone Based on Partial Annotation,” Cogn Neurodyn (2022) DOI: 10.1007/s11571-022-09857-4
Md. Rabiul Islam, Xuyang Zhao, Yao Miao, Hidenori Sugano, and Toshihisa Tanaka, “Epileptic seizure focus detection from interictal electroencephalogram: a survey,” Cognitive Neurodynamics, 18 May 2022, DOI: 10.1007/s11571-022-09816-z
M. Nakanishi, Y. Tanji and T. Tanaka, Waveform-Coded Steady-State Visual Evoked Potentials for Brain-Computer Interfaces, IEEE Access, vol. 9, pp. 144768-144775, 2021.
S. Ahmadi-Asl, C. S. Caiafa, A. Cichocki, A.-H. Phan, T. Tanaka, I. Oseledets, and J. Wang, Cross Tensor Approximation Methods for Compression and Dimensionality Reduction, IEEE Access, vol. 9, pp. 150809-150838, 2021
- Bonci, A.; Fiori, S.; Higashi, H.; Tanaka, T.; Verdini, F. An Introductory Tutorial on Brain–Computer Interfaces and Their Applications. Electronics 2021, 10, 560. https://doi.org/10.3390/electronics10050560
- Akter Most. Sheuli, Islam Md. Rabiul, Toshihisa Tanaka, Yasushi Iimura, Takumi Mitsuhashi, Hidenori Sugano, Duo Wang, Molla Md. Khademul Islam, “Statistical features in high-frequency bands of interictal intracranial electroencephalogram work efficiently in identifying the epileptic seizure onset zone,” Entropy 22, no. 12: 1415, 2020
- Molla, M.K.I.; Hassan, K.M.; Islam, M.R.; Tanaka, T. “Graph eigen decomposition-based feature-selection method for epileptic seizure detection using electroencephalography,” Sensors, August 2020, 20, 4639.
- T. Wada, K. Fukumori, T. Tanaka, and S. Fiori, “Anisotropic Gaussian kernel adaptive filtering by Lie-group dictionary learning,” PLoS ONE 15(8): e0237654, Aug. 2020
- Md. K. I. Molla, A. Al Shiam, Md. R. Islam, and T. Tanaka, “Discriminative feature selection based motor imagery classification using EEG signal,” IEEE Access, vol. 8, pp. 98255-98265, 2020
- Most. Sheuli Akter, Md. Rabiul Islam, Yasushi Iimura, Hidenori Sugano, Kosuke Fukumori, Duo Wang, Toshihisa Tanaka, Andrzej Cichocki, “Multiband entropy-based feature-extraction method for automatic identification of epileptic focus based on high-frequency components in interictal iEEG,” Scientific Reports.10.1 doi: https://doi.10.1038/s41598-020-62967-z
- A. Sakiyama, Y. Tanaka, T. Tanaka, and A. Ortega,”Eigendecomposition-free sampling set selection for graph signals,” IEEE Trans. on Signal Processing, 2019 67.10.2679-2692
- Md R. Islam, T. Tanaka, and Md K. I. Molla, “Multiband tangent space mapping and feature selection for classification of EEG during motor imagery,” Journal of Neural Engineering, vol. 15, issue 4, Aug. 2018
- Md K. I. Molla, N. Morikawa, Md R. Islam, and T. Tanaka, “Data-adaptive spatiotemporal ERP cleaning for single-trial BCI implementation,” IEEE Trans. Neural Systems and Rehabilitation Eng., vol.26, no.7, pp.1334-1344, July 2018
- Y. Zhang, E. Yin, F. Li, Y. Zhang, T. Tanaka, Q. Zhao, Y. Cui, P. Xu, D. Yao, D. Guo, “Two-stage frequency recognition method based on correlated component analysis for SSVEP-based BCI,” IEEE Trans. Neural Systems and Rehabilitation Eng., vol.26, no.7, pp.1314–1322, July 2018.
- Y. Zhang, D. Guo, F. Li, E. Yin, Y. Zhang, P. Li, Q. Zhao, T. Tanaka, D. Yao, and P. Xu,“Correlated component analysis for enhancing the performance of SSVEP-based brain-computer interface,” IEEE Trans. Neural Systems and Rehabilitation Eng., vol. 26, no. 5, pp. 948-956, May 2018.