Evaluation of outlier prevalence of density distribution in brain computed tomography: Comparison of kurtosis and quartile statistics. - In-Nea Wang; Hyun-Ji Kim; Eun-Ji Kim; Young-Tak Kim; Dong-Joo Kim (BCI, 2018)

Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification. - Seung-Bo Lee; Hakseung Kim; Ji-Hoon Jeong; In-Nea Wang; Seong-Whan Lee; Dong-Joo Kim (BCI, 2019)

Comparative Analysis of NIRS-EEG Motor Imagery Data Using Features from Spatial, Spectral and Temporal Domain. - Hyun-Ji Kim; In-Nea Wang; Young-Tak Kim; Hakseung Kim; Dong-Joo Kim (BCI, 2020)

An Ensemble Deep Learning Approach for Sleep Stage Classification via Single-channel EEG and EOG. - In-Nea Wang; Choel-Hui Lee; Hyun-Ji Kim; Hakseung Kim; Dong-Joo Kim (ICTC, 2020)

Phase Transition in previous Motor Imagery affects Efficiency of Motor Imagery based Brain-computer Interface. - Min-Kyung Jung; Seho Lee; In-Nea Wang; Ha Yoon Song; Hakseung Kim; Dong-Joo Kim (BCI, 2021)

Enhancing Everyday Seizure Detection: A Channel Reduction Approach. - Minju Kim; Donghyeok Jo; In-Nea Wang; Hakseung Kim; Jung-Bin Kim; Dong-Joo Kim (BCI, 2024)

Negative-Sample-Free Contrastive Self-Supervised Learning for Electroencephalogram-Based Motor Imagery Classification. - In-Nea Wang; Choel-Hui Lee; Hakseung Kim; Dong-Joo Kim (IEEE Access, 2024)