Design of a robotic wheelchair with a motor imagery based brain-computer interface. - Keun-Tae Kim; Tom Carlson; Seong-Whan Lee (BCI, 2013)

Steady-state somatosensory evoked potentials for brain-controlled wheelchair. - Keun-Tae Kim; Seong-Whan Lee (BCI, 2014)

Towards a smart TV control system based on steady-state visual evoked potential. - Hee-Jin Park; Keun-Tae Kim; Seong-Whan Lee (BCI, 2015)

Wheelchair Control Based on Steady-State Somatosensory Evoked Potentials. - Keun-Tae Kim; Seong-Whan Lee (SMC, 2015)

Development of an open source platform for brain-machine interface: openBMI. - Min-Ho Lee; Siamac Fazli; Keun-Tae Kim; Seong-Whan Lee (BCI, 2016)

Steady-state visual evoked potential based brain-computer interface with viewing distance changes. - Hee-Jin Park; Keun-Tae Kim; Seong-Whan Lee (BCI, 2016)

Towards an EEG-based intelligent wheelchair driving system with vibro-tactile stimuli. - Keun-Tae Kim; Seong-Whan Lee (SMC, 2016)

Analysis of steady state visual evoked potentials based on viewing distance changes for brain-machine interface speller. - No-Sang Kwak; Dong-Ok Won; Keun-Tae Kim; Hee-Jin Park; Seong-Whan Lee (SMC, 2016)

OpenBMI: A real-time data analysis toolbox for Brain-Machine Interfaces. - Min-Ho Lee; Keun-Tae Kim; Yeong-Jin Kee; Ji-Hoon Jeong; Seon-Min Kim; Siamac Fazli; Seong-Whan Lee (SMC, 2016)

An Adaptive Convolutional Neural Network Framework for Multi-user Myoelectric Interfaces. - Keun-Tae Kim; Ki-Hee Park; Seong-Whan Lee (ACPR, 2017)

Design of a brain-controlled robot arm system based on upper-limb movement imagery. - Ji-Hoon Jeong; Keun-Tae Kim; Yong-Deok Yun; Seong-Whan Lee (BCI, 2018)

Decoding of Multi-directional Reaching Movements for EEG-Based Robot Arm Control. - Ji-Hoon Jeong; Keun-Tae Kim; Dong-Joo Kim; Seong-Whan Lee (SMC, 2018)

Robust Semi-synchronous BCI Controller for Brain-Actuated Exoskeleton System. - Junhyuk Choi; Keun-Tae Kim; Jaehyung Lee; Song Joo Lee; Hyungmin Kim 001 (BCI, 2020)

Classification of Selective Attention based on Steady-State Somatosensory Evoked Potentials using High-Frequency Vibration Stimuli. - Keun-Tae Kim; Jaehyung Lee; Hyungmin Kim 001; Song Joo Lee (BCI, 2020)

Classification of Selective Attention Within Steady-State Somatosensory Evoked Potentials From Dry Electrodes Using Mutual Information-Based Spatio-Spectral Feature Selection. - Keun-Tae Kim; Jaehyung Lee; Hyungmin Kim 001; Choong Hyun Kim; Song Joo Lee (IEEE Access, 2020)

Developing a Motor Imagery-Based Real-Time Asynchronous Hybrid BCI Controller for a Lower-Limb Exoskeleton. - Junhyuk Choi; Keun-Tae Kim; Ji Hyeok Jeong; Laehyun Kim; Song Joo Lee; Hyungmin Kim 001 (Sensors, 2020)

Subject-Transfer Approach based on Convolutional Neural Network for the SSSEP-BCIs. - Keun-Tae Kim; Junhyuk Choi; Hyungmin Kim 001; Song Joo Lee (BCI, 2021)

Multi-Domain Convolutional Neural Networks for Lower-Limb Motor Imagery Using Dry vs. Wet Electrodes. - Ji Hyeok Jeong; Jun-Hyuk Choi; Keun-Tae Kim; Song-Joo Lee; Dong-Joo Kim; Hyungmin Kim 001 (Sensors, 2021)

CNN-based Subject-Transfer Approach for Training Minimized Lower-Limb MI-BCIs. - Ji Hyeok Jeong; Keun-Tae Kim; Song Joo Lee; Dong-Joo Kim; Hyungmin Kim 001 (BCI, 2022)

Subject-Transfer Decoding using the Convolutional Neural Network for Motor Imagery-based Brain-Computer Interface. - Ji Hyeok Jeong; Keun-Tae Kim; Dong-Joo Kim; Song Joo Lee; Hyungmin Kim 001 (EMBC, 2022)

Subject-Transfer with Subject-Specific Fine-Tuning Based on Multi-Model CNN for Motor Imagery Brain-Computer Interface. - Ji Hyeok Jeong; Dong-Jin Sung; Keun-Tae Kim; Song Joo Lee; Dong-Joo Kim; Hyungmin Kim 001 (BCI, 2023)

Differentiating changes in movement-related EEG response induced by transcranial direct current stimulation using convolutional neural network. - Ji Hyeok Jeong; Dong-Jin Sung; Keun-Tae Kim; Dong-Joo Kim; Hyungmin Kim 001 (EMBC, 2023)

Differentiating loss of consciousness causes through artificial intelligence-enabled decoding of functional connectivity. - Young-Tak Kim; Hayom Kim; Mingyeong So; Jooheon Kong; Keun-Tae Kim; Je Hyeong Hong; Yunsik Son 001; Jason K. Sa; Synho Do; Jae-Ho Han; Jung-Bin Kim (NeuroImage, 2024)

Towards Feasible Deep Learning Approach Using EEG for Neurodegenerative Diseases. - Dogeun Park; Ho-Jung Kim; Young-Gi Ju; Keun-Tae Kim; Dong-Ok Won (BCI, 2025)

Integrative Human-Computer Interaction System Using Eyes and Facial Movement. - Jehyeon Park; Jeong-Woo Jang; Dogeun Park; Young-Gi Ju; Keun-Tae Kim; Chul-Ho Kim; Jae-Jun Lee; Dong-Ok Won (ICCE, 2025)

Convolutional neural network approach for motor imagery and steady-state somatosensory evoked potential-based hybrid brain-computer interface using dry electrodes. - Keun-Tae Kim; Jaehyung Lee; Song Joo Lee (Biomed. Signal Process. Control., 2025)