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)

A Multimodal Analysis Combining Behavioral Experiments and Survey-Based Methods to Assess the Cognitive Effect of Video Game Playing: Good or Evil? - Ji Hyeok Jeong; Hyun-Jung Park; Sang-Hoon Yeo; Hyungmin Kim 001 (Sensors, 2020)

Hybrid Zero-Training BCI based on Convolutional Neural Network for Lower-limb Motor-Imagery. - Ji Hyeok Jeong; Dong-Joo Kim; Hyungmin Kim 001 (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)

Application of subject-specific helmets for the study of human visuomotor behavior using transcranial focused ultrasound: a pilot study. - Tae Young Park; Ji Hyeok Jeong; Yong An Chung; Sang Hoon Yeo; Hyungmin Kim 001 (Comput. Methods Programs Biomed., 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)