Dong-Joo Kim

75 papers B 6Misc 1Journal 31Unranked 37
YearRankTypeTitle / Venue / Authors
2026 J jnl
RL-BioAug: Label-Efficient Reinforcement Learning for Self-Supervised EEG Representation Learning.
CoRR
Cheol-Hui Lee, Hwa-Yeon Lee, Dong-Joo Kim
2025 — conf
Detection of Alzheimer's Disease and Frontotemporal Dementia: An Explainable Machine Learning Approach Using EEG Signals.
BCI
Hwa-Yeon Lee, Min-Kyung Jung, Choel-Hui Lee, Hakseung Kim, Dong-Joo Kim
2025 J jnl
Diffusion-Based Electrocardiography Noise Quantification via Anomaly Detection.
CoRR
Tae-Seong Han, Jae-Wook Heo, Hakseung Kim, Cheol-Hui Lee, Hyub Huh, Eue-Keun Choi, Dong-Joo Kim
2025 J jnl
NeuroXAI: Adaptive, robust, explainable surrogate framework for determination of channel importance in EEG application.
Expert Syst. Appl.
Choel-Hui Lee, Daesun Ahn, Hakseung Kim, Eun Jin Ha, Jung-Bin Kim, Dong-Joo Kim
2025 J jnl
PhysioME: A Robust Multimodal Self-Supervised Framework for Physiological Signals with Missing Modalities.
CoRR
Cheol-Hui Lee, Hwa-Yeon Lee, Min-Kyung Jung, Dong-Joo Kim
2025 J jnl
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework.
CoRR
Cheol-Hui Lee, Hakseung Kim, Byung C. Yoon, Dong-Joo Kim
2025 J jnl
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid-Self-Supervised Learning Framework.
IEEE Trans. Cybern.
Cheol-Hui Lee, Hakseung Kim, Byung C. Yoon, Dong-Joo Kim
2024 J jnl
Design of a Solid State Circuit Breaker Using a SiC MOSFET for LVDC Applications.
IEEE Access
Byong Jo Hyon, Pooreum Jang, Dong-Joo Kim, Yong-Su Noh, Jun-Hyuk Choi, Sang Bin Lee
2024 — conf
Enhancing Everyday Seizure Detection: A Channel Reduction Approach.
BCI
Minju Kim, Donghyeok Jo, In-Nea Wang, Hakseung Kim, Jung-Bin Kim, Dong-Joo Kim
2024 J jnl
Hyperosmolar therapy response in traumatic brain injury: Explainable artificial intelligence based long-term time series forecasting approach.
Expert Syst. Appl.
Min-Kyung Jung, Tae-Hoon Roh, Hakseung Kim, Eun Jin Ha, Dukyong Yoon, Chan Min Park, Se-Hyuk Kim, Nam Kyu You, Dong-Joo Kim
2024 J jnl
Negative-Sample-Free Contrastive Self-Supervised Learning for Electroencephalogram-Based Motor Imagery Classification.
IEEE Access
In-Nea Wang, Choel-Hui Lee, Hakseung Kim, Dong-Joo Kim
2024 J jnl
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG.
CoRR
Cheol-Hui Lee, Hakseung Kim, Hyun-jee Han, Min-Kyung Jung, Byung C. Yoon, Dong-Joo Kim
2023 J jnl
Correction to: SleepExpertNet: high‑performance and class‑balanced deep learning approach inspired from the expert neurologists for sleep stage classification.
J. Ambient Intell. Humaniz. Comput.
Choel-Hui Lee, Hyun-Ji Kim, Young-Tak Kim, Hakseung Kim, Jung-Bin Kim, Dong-Joo Kim
2023 — conf
Differentiating changes in movement-related EEG response induced by transcranial direct current stimulation using convolutional neural network.
EMBC
Ji Hyeok Jeong, Dong-Jin Sung, Keun-Tae Kim, Dong-Joo Kim, Hyungmin Kim
2023 — conf
EEG-Based Multioutput Classification of Sleep Stage and Apnea Using Deep Learning.
BCI
Donghyeok Jo, Choel-Hui Lee, Hakseung Kim, Hayom Kim, Jung-Bin Kim, Dong-Joo Kim
2023 J jnl
Effects of altered functional connectivity on motor imagery brain-computer interfaces based on the laterality of paralysis in hemiplegia patients.
Comput. Biol. Medicine
Seho Lee, Hakseung Kim, Jung-Bin Kim, Dong-Joo Kim
2023 — conf
Interpretability of Hybrid Feature Using Graph Neural Networks from Mental Arithmetic Based EEG.
BCI
Min-Kyung Jung, Hakseung Kim, Seho Lee, Jung-Bin Kim, Dong-Joo Kim
2023 J jnl
Prediction of Serious Intracranial Hypertension from Low-Resolution Neuromonitoring in Traumatic Brain Injury: An Explainable Machine Learning Approach.
IEEE J. Biomed. Health Informatics
Min-Kyung Jung, Daesun Ahn, Chan Min Park, Eun Jin Ha, Tae-Hoon Roh, Nam Kyu You, Dukyong Yoon, Hakseung Kim, Se-Hyuk Kim, Dong-Joo Kim
2023 J jnl
SleepExpertNet: high-performance and class-balanced deep learning approach inspired from the expert neurologists for sleep stage classification.
J. Ambient Intell. Humaniz. Comput.
Choel-Hui Lee, Hyun-Ji Kim, Young-Tak Kim, Hakseung Kim, Jung-Bin Kim, Dong-Joo Kim
2023 — conf
Subject-Transfer with Subject-Specific Fine-Tuning Based on Multi-Model CNN for Motor Imagery Brain-Computer Interface.
BCI
Ji Hyeok Jeong, Dong-Jin Sung, Keun-Tae Kim, Song Joo Lee, Dong-Joo Kim, Hyungmin Kim
2022 — conf
CNN-based Subject-Transfer Approach for Training Minimized Lower-Limb MI-BCIs.
BCI
Ji Hyeok Jeong, Keun-Tae Kim, Song Joo Lee, Dong-Joo Kim, Hyungmin Kim
2022 J jnl
DeepCNAP: A Deep Learning Approach for Continuous Noninvasive Arterial Blood Pressure Monitoring Using Photoplethysmography.
IEEE J. Biomed. Health Informatics
Dong-Kyu Kim, Young-Tak Kim, Hakseung Kim, Dong-Joo Kim
2022 — conf
Importance of the Quantitative Change of EEG Theta/Beta Ratio Between Preparation and Motor Imagery: Correlation with the Performance of Classification.
BCI
Joung-Woo Hyung, Seho Lee, Hakseung Kim, Dong-Joo Kim
2022 — conf
Subject-Transfer Decoding using the Convolutional Neural Network for Motor Imagery-based Brain-Computer Interface.
EMBC
Ji Hyeok Jeong, Keun-Tae Kim, Dong-Joo Kim, Song Joo Lee, Hyungmin Kim
2021 — conf
Hybrid Zero-Training BCI based on Convolutional Neural Network for Lower-limb Motor-Imagery.
BCI
Ji Hyeok Jeong, Dong-Joo Kim, Hyungmin Kim
2021 — conf
Improving Sleep Stage Classification Performance by Single-Channel EEG Data Augmentation via Spectral Band Blending.
BCI
Choel-Hui Lee, Hyun-Ji Kim, Jae-Wook Heo, Hakseung Kim, Dong-Joo Kim
2021 J jnl
Multi-Domain Convolutional Neural Networks for Lower-Limb Motor Imagery Using Dry vs. Wet Electrodes.
Sensors
Ji Hyeok Jeong, Jun-Hyuk Choi, Keun-Tae Kim, Song-Joo Lee, Dong-Joo Kim, Hyungmin Kim
2021 — conf
Phase Transition in previous Motor Imagery affects Efficiency of Motor Imagery based Brain-computer Interface.
BCI
Min-Kyung Jung, Seho Lee, In-Nea Wang, Ha Yoon Song, Hakseung Kim, Dong-Joo Kim
2021 J jnl
Prediction of Life-Threatening Intracranial Hypertension During the Acute Phase of Traumatic Brain Injury Using Machine Learning.
IEEE J. Biomed. Health Informatics
Hack-Jin Lee, Hakseung Kim, Young-Tak Kim, Kanghee Won, Marek Czosnyka, Dong-Joo Kim
2021 J jnl
Rice Husk-Derived Cellulose Nanofibers: A Potential Sensor for Water-Soluble Gases.
Sensors
Naresh Shahi, Eunji Lee, Byungjin Min, Dong-Joo Kim
2021 — conf
Sequential Transfer Learning via Segment After Cue Enhances the Motor Imagery-based Brain-Computer Interface.
BCI
Dong-Kyu Kim, Young-Tak Kim, Hee-Ra Jung, Hakseung Kim, Dong-Joo Kim
2020 — conf
A Comparison of Oversampling Methods for Constructing a Prognostic Model in the Patient with Heart Failure.
ICTC
Young-Tak Kim, Dong-Kyu Kim, Hakseung Kim, Dong-Joo Kim
2020 — conf
A Novel Approach to Classify Natural Grasp Actions by Estimating Muscle Activity Patterns from EEG Signals.
BCI
Jeong-Hyun Cho, Ji-Hoon Jeong, Dong-Joo Kim, Seong-Whan Lee
2020 — conf
A Novel Framework for Visual Motion Imagery Classification Using 3D Virtual BCI Platform.
BCI
Byoung-Hee Kwon, Ji-Hoon Jeong, Dong-Joo Kim
2020 J jnl
A Novel Framework for Visual Motion Imagery Classification Using 3D Virtual BCI Platform.
CoRR
Byoung-Hee Kwon, Ji-Hoon Jeong, Dong-Joo Kim
2020 J jnl
A novel approach to classify natural grasp actions by estimating muscle activity patterns from EEG signals.
CoRR
Jeong-Hyun Cho, Ji-Hoon Jeong, Dong-Joo Kim, Seong-Whan Lee
2020 — conf
An Ensemble Deep Learning Approach for Sleep Stage Classification via Single-channel EEG and EOG.
ICTC
In-Nea Wang, Choel-Hui Lee, Hyun-Ji Kim, Hakseung Kim, Dong-Joo Kim
2020 — conf
Classification of Upper Limb Movements Using Convolutional Neural Network with 3D Inception Block.
BCI
Do-Yeun Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim
2020 J jnl
Classification of Upper Limb Movements Using Convolutional Neural Network with 3D Inception Block.
CoRR
Do-Yeun Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim
2020 — conf
Comparative Analysis of NIRS-EEG Motor Imagery Data Using Features from Spatial, Spectral and Temporal Domain.
BCI
Hyun-Ji Kim, In-Nea Wang, Young-Tak Kim, Hakseung Kim, Dong-Joo Kim
2020 B conf
Complex Motor Imagery-based Brain-Computer Interface System: A Comparison Between Different Classifiers.
SMC
Seung-Bo Lee, Min-Kyung Jung, Hakseung Kim, Seong-Whan Lee, Dong-Joo Kim
2020 — conf
Importance of Reliable EEG Data in Motor Imagery Classification: Attention Level-based Approach.
BCI
Seho Lee, Young-Tak Kim, Seung-Ouk Hwang, Hakseung Kim, Dong-Joo Kim
2020 B conf
Lateralization of alpha oscillation under preparation Lead to Efficiency of Motor Imagery: Related with Performance of Classification.
SMC
Seho Lee, Choel-Hui Lee, Hakseung Kim, Dong-Joo Kim
2020 — conf
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining.
BCI
Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim
2020 J jnl
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining.
CoRR
Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim
2019 B conf
Classification of the Motion Artifacts in Near-infrared Spectroscopy Based on Wavelet Statistical Feature.
SMC
Seung-Bo Lee, Hakseung Kim, Seho Lee, Hyun-Ji Kim, Seong-Whan Lee, Dong-Joo Kim
2019 J jnl
Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification.
Inf. Sci.
Seung-Bo Lee, Hyun-Ji Kim, Hakseung Kim, Ji-Hoon Jeong, Seong-Whan Lee, Dong-Joo Kim
2019 — conf
Exploring the Number of Repetitions in Trials for the Performance Convergence of Classification in Motor Imagery Task with Hand-Grasping.
BCI
Young-Tak Kim, Seung-Bo Lee, Hakseung Kim, Ji-Hoon Jeong, Seong-Whan Lee, Dong-Joo Kim
2019 — conf
Reconstructing Degree of Forearm Rotation from Imagined movements for BCI-based Robot Hand Control.
EMBC
Yong-Deok Yun, Ji-Hoon Jeong, Jeong-Hyun Cho, Dong-Joo Kim, Seong-Whan Lee
2019 — conf
Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification.
BCI
Seung-Bo Lee, Hakseung Kim, Ji-Hoon Jeong, In-Nea Wang, Seong-Whan Lee, Dong-Joo Kim
2019 B conf
Reduced Burden of Individual Calibration Process in Brain-Computer Interface by Clustering the Subjects based on Brain Activation.
SMC
Young-Tak Kim, Seho Lee, Hakseung Kim, Seung-Bo Lee, Seong-Whan Lee, Dong-Joo Kim
2019 — conf
Trajectory Decoding of Arm Reaching Movement Imageries for Brain-Controlled Robot Arm System.
EMBC
Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim, Seong-Whan Lee
2018 J jnl
Automated artifact elimination of physiological signals using a deep belief network: An application for continuously measured arterial blood pressure waveforms.
Inf. Sci.
Yunsik Son, Seung-Bo Lee, Hakseung Kim, Eun-Suk Song, Hyub Huh, Marek Czosnyka, Dong-Joo Kim
2018 B conf
Classification of Hand Motions within EEG Signals for Non-Invasive BCI-Based Robot Hand Control.
SMC
Jeong-Hyun Cho, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim, Seong-Whan Lee
2018 B conf
Decoding of Multi-directional Reaching Movements for EEG-Based Robot Arm Control.
SMC
Ji-Hoon Jeong, Keun-Tae Kim, Dong-Joo Kim, Seong-Whan Lee
2018 J jnl
Enhanced Gas-Sensing Performance of GO/TiO
Sensors
Eunji Lee, Doo-Hee Lee, Jaesik Yoon, Yilin Yin, You-Na Lee, Sunil Uprety, Young Soo Yoon, Dong-Joo Kim
2018 — conf
Evaluation of outlier prevalence of density distribution in brain computed tomography: Comparison of kurtosis and quartile statistics.
BCI
In-Nea Wang, Hyun-Ji Kim, Eun-Ji Kim, Young-Tak Kim, Dong-Joo Kim
2018 — conf
Robust arterial blood pressure onset detection method from signal artifacts.
BCI
Seung-Bo Lee, Eun-Suk Song, Hakseung Kim, Dong-Joo Kim
2017 — conf
Classification of computed tomography scanner manufacturer using support vector machine.
BCI
Seung-Bo Lee, Eun-Jin Jeong, Yunsik Son, Dong-Joo Kim
2016 J jnl
Morphological Feature Extraction From a Continuous Intracranial Pressure Pulse via a Peak Clustering Algorithm.
IEEE Trans. Biomed. Eng.
Hack-Jin Lee, Eun-Jin Jeong, Hakseung Kim, Marek Czosnyka, Dong-Joo Kim
2015 — conf
Automated artefact elimination in computed tomography: A preliminary report for traumatic brain injury and stroke.
BCI
Dae-Hyeon Park, Hakseung Kim, Young-Tak Kim, Xiao ke Yang, Hack-Jin Lee, Eun-Jin Jeong, Dong-Joo Kim
2015 — conf
Automated phase segmentation in cerebrospinal fluid infusion test.
BCI
Young-Tak Kim, Hakseung Kim, Dae-Hyeon Park, Xiao ke Yang, Hack-Jin Lee, Eun-Jin Jeong, Dong-Joo Kim
2015 J jnl
Finite element analysis for normal pressure hydrocephalus: The effects of the integration of sulci.
Medical Image Anal.
Hakseung Kim, Dae-Hyeon Park, Seong Yi, Eun-Jin Jeong, Byung C. Yoon, Marek Czosnyka, Michael P. F. Sutcliffe, Dong-Joo Kim
2015 — conf
Morphological landmark detection in arterial blood pressure and intracranial pressure: Preliminary procedures for intracranial pressure waveform analysis.
BCI
Eun-Jin Jeong, Hakseung Kim, Xiao ke Yang, Hack-Jin Lee, Dae-Hyeon Park, Young-Tak Kim, Dong-Joo Kim
2015 — conf
Neuromonitoring in acquired brain injury.
BCI
Dong-Joo Kim
2015 — conf
Noninvasive assessment of intracranial pressure using functional matrix estimation method.
BCI
Hack-Jin Lee, Hakseung Kim, Dong-Ho Lee, Xiao ke Yang, Eun-Jin Jeong, Dae-Hyeon Park, Young-Tak Kim, Dong-Joo Kim
2015 — conf
Semi-automatic designation and segmentation of vertebra and spinal cord in spinal MR imaging: A preliminary report.
BCI
Xiao ke Yang, Hakseung Kim, Seong Yi, Eun-Jin Jeong, Dae-Hyeon Park, Young-Tak Kim, Hack-Jin Lee, Dong-Joo Kim
2015 — conf
The age-related difference in computed tomography density distribution: A preliminary report.
BCI
Hakseung Kim, Xiao ke Yang, Young-Tak Kim, Hack-Jin Lee, Eun-Jin Jeong, Dae-Hyeon Park, Dong-Joo Kim
2014 J jnl
Experimental demonstration of a ferroelectric FET using paper substrate.
IEICE Electron. Express
Changhwan Shin, Gwang-Geun Lee, Dae-Hee Han, Seung-Pil Han, Eisuke Tokumitsu, Shun'ichiro Ohmi, Dong-Joo Kim, Hiroshi Ishiwara, Minseo Park, Seung-Hyun Kim, Wan-Gyu Lee, Yun Jeong Hwang, Byung-Eun Park
2013 — conf
Estimation on the development of cerebral edema from computed tomography preliminary studies for pediatric traumatic brain injury patients.
BCI
Hakseung Kim, Young-Tak Kim, Dong-Joo Kim
2013 Misc conf
Nanostructured gas sensors integrated into fabric for wearable breath monitoring system.
ISWC
Hyejin Park, Hosang Ahn, Dong-Joo Kim, Helen Koo
2011 J jnl
Temperature effects on output power of piezoelectric vibration energy harvesters.
Microelectron. J.
Seon-Bae Kim, Jung-Hyun Park, Hosang Ahn, Dan Liu, Dong-Joo Kim
2006 J jnl
A Metric for Example Matching in Example-Based Machine Translation.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Dong-Joo Kim, Han-Woo Kim
2005 — conf
A Hybrid Warping Method Approach to Speaker Warping Adaptation.
WILF
Yong-Wan Roh, Jung-Hyun Kim, Dong-Joo Kim, Kwang-Seok Hong
2003 J jnl
A simple interpolation technique for the DFT for joint system parameters estimation in burst MPSK transmissions.
IEEE Trans. Commun.
Dae-Ki Hong, Dong-Joo Kim, Young-Jo Lee, Sukhyon Yoon, Daesik Hong, Changeon Kang