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2020 – today
- 2025
[j21]Choel-Hui Lee, Daesun Ahn, Hakseung Kim, Eun Jin Ha, Jung-Bin Kim, Dong-Joo Kim:
NeuroXAI: Adaptive, robust, explainable surrogate framework for determination of channel importance in EEG application. Expert Syst. Appl. 261: 125364 (2025)- 2024
- [j20]Byong Jo Hyon
, Pooreum Jang, Dong-Joo Kim, Yong-Su Noh, Jun-Hyuk Choi, Sang Bin Lee:
Design of a Solid State Circuit Breaker Using a SiC MOSFET for LVDC Applications. IEEE Access 12: 65278-65286 (2024) - [j19]In-Nea Wang, Choel-Hui Lee, Hakseung Kim, Dong-Joo Kim:
Negative-Sample-Free Contrastive Self-Supervised Learning for Electroencephalogram-Based Motor Imagery Classification. IEEE Access 12: 132714-132728 (2024) - [j18]Minkyung Jung, Tae-Hoon Roh, Hakseung Kim, Eun Jin Ha, Dukyong Yoon, Chan Min Park, Se-Hyuk Kim, Nam Kyu You, Dong-Joo Kim:
Hyperosmolar therapy response in traumatic brain injury: Explainable artificial intelligence based long-term time series forecasting approach. Expert Syst. Appl. 255: 124795 (2024) - [c43]Minju Kim, Donghyeok Jo, In-Nea Wang, Hakseung Kim, Jung-Bin Kim, Dong-Joo Kim:
Enhancing Everyday Seizure Detection: A Channel Reduction Approach. BCI 2024: 1-4 - [i5]Cheol-Hui Lee, Hakseung Kim, Hyun-jee Han, Minkyung Jung, Byung C. Yoon, Dong-Joo Kim:
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG. CoRR abs/2404.17585 (2024) - 2023
- [j17]Seho Lee, Hakseung Kim, Jung-Bin Kim, Dong-Joo Kim:
Effects of altered functional connectivity on motor imagery brain-computer interfaces based on the laterality of paralysis in hemiplegia patients. Comput. Biol. Medicine 166: 107435 (2023) - [j16]Choel-Hui Lee, Hyun-Ji Kim, Young-Tak Kim, Hakseung Kim, Jung-Bin Kim, Dong-Joo Kim:
SleepExpertNet: high-performance and class-balanced deep learning approach inspired from the expert neurologists for sleep stage classification. J. Ambient Intell. Humaniz. Comput. 14(6): 8067-8083 (2023) - [j15]Choel-Hui Lee, Hyun-Ji Kim, Young-Tak Kim, Hakseung Kim, Jung-Bin Kim, Dong-Joo Kim:
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. 14(6): 8085 (2023) - [j14]Minkyung 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:
Prediction of Serious Intracranial Hypertension from Low-Resolution Neuromonitoring in Traumatic Brain Injury: An Explainable Machine Learning Approach. IEEE J. Biomed. Health Informatics 27(4): 1903-1913 (2023) - [c42]Ji Hyeok Jeong, Dong-Jin Sung, Keun-Tae Kim, Song Joo Lee, Dong-Joo Kim, Hyungmin Kim:
Subject-Transfer with Subject-Specific Fine-Tuning Based on Multi-Model CNN for Motor Imagery Brain-Computer Interface. BCI 2023: 1-3 - [c41]Donghyeok Jo, Choel-Hui Lee, Hakseung Kim, Hayom Kim, Jung-Bin Kim, Dong-Joo Kim:
EEG-Based Multioutput Classification of Sleep Stage and Apnea Using Deep Learning. BCI 2023: 1-4 - [c40]Minkyung Jung, Hakseung Kim, Seho Lee, Jung-Bin Kim, Dong-Joo Kim:
Interpretability of Hybrid Feature Using Graph Neural Networks from Mental Arithmetic Based EEG. BCI 2023: 1-5 - [c39]Ji Hyeok Jeong, Dong-Jin Sung, Keun-Tae Kim, Dong-Joo Kim, Hyungmin Kim:
Differentiating changes in movement-related EEG response induced by transcranial direct current stimulation using convolutional neural network. EMBC 2023: 1-4 - 2022
- [j13]Dong-Kyu Kim, Young-Tak Kim, Hakseung Kim, Dong-Joo Kim:
DeepCNAP: A Deep Learning Approach for Continuous Noninvasive Arterial Blood Pressure Monitoring Using Photoplethysmography. IEEE J. Biomed. Health Informatics 26(8): 3697-3707 (2022) - [c38]Joung-Woo Hyung, Seho Lee, Hakseung Kim, Dong-Joo Kim:
Importance of the Quantitative Change of EEG Theta/Beta Ratio Between Preparation and Motor Imagery: Correlation with the Performance of Classification. BCI 2022: 1-4 - [c37]Ji Hyeok Jeong, Keun-Tae Kim, Song Joo Lee, Dong-Joo Kim, Hyungmin Kim:
CNN-based Subject-Transfer Approach for Training Minimized Lower-Limb MI-BCIs. BCI 2022: 1-4 - [c36]Ji Hyeok Jeong, Keun-Tae Kim, Dong-Joo Kim, Song Joo Lee, Hyungmin Kim:
Subject-Transfer Decoding using the Convolutional Neural Network for Motor Imagery-based Brain-Computer Interface. EMBC 2022: 48-51 - 2021
- [j12]Naresh Shahi, Eunji Lee, Byungjin Min, Dong-Joo Kim:
Rice Husk-Derived Cellulose Nanofibers: A Potential Sensor for Water-Soluble Gases. Sensors 21(13): 4415 (2021) - [j11]Ji Hyeok Jeong, Jun-Hyuk Choi, Keun-Tae Kim, Song-Joo Lee, Dong-Joo Kim, Hyungmin Kim:
Multi-Domain Convolutional Neural Networks for Lower-Limb Motor Imagery Using Dry vs. Wet Electrodes. Sensors 21(19): 6672 (2021) - [j10]Hack-Jin Lee, Hakseung Kim, Young-Tak Kim, Kanghee Won, Marek Czosnyka, Dong-Joo Kim:
Prediction of Life-Threatening Intracranial Hypertension During the Acute Phase of Traumatic Brain Injury Using Machine Learning. IEEE J. Biomed. Health Informatics 25(10): 3967-3976 (2021) - [c35]Ji Hyeok Jeong, Dong-Joo Kim, Hyungmin Kim:
Hybrid Zero-Training BCI based on Convolutional Neural Network for Lower-limb Motor-Imagery. BCI 2021: 1-4 - [c34]Minkyung Jung, Seho Lee, In-Nea Wang, Ha Yoon Song, Hakseung Kim, Dong-Joo Kim:
Phase Transition in previous Motor Imagery affects Efficiency of Motor Imagery based Brain-computer Interface. BCI 2021: 1-4 - [c33]Dong-Kyu Kim, Young-Tak Kim, Hee-Ra Jung, Hakseung Kim, Dong-Joo Kim:
Sequential Transfer Learning via Segment After Cue Enhances the Motor Imagery-based Brain-Computer Interface. BCI 2021: 1-5 - [c32]Choel-Hui Lee, Hyun-Ji Kim, Jae-Wook Heo, Hakseung Kim, Dong-Joo Kim:
Improving Sleep Stage Classification Performance by Single-Channel EEG Data Augmentation via Spectral Band Blending. BCI 2021: 1-5 - 2020
- [c31]Jeong-Hyun Cho, Ji-Hoon Jeong, Dong-Joo Kim, Seong-Whan Lee:
A Novel Approach to Classify Natural Grasp Actions by Estimating Muscle Activity Patterns from EEG Signals. BCI 2020: 1-4 - [c30]Hyun-Ji Kim, In-Nea Wang, Young-Tak Kim, Hakseung Kim, Dong-Joo Kim:
Comparative Analysis of NIRS-EEG Motor Imagery Data Using Features from Spatial, Spectral and Temporal Domain. BCI 2020: 1-4 - [c29]Byoung-Hee Kwon, Ji-Hoon Jeong, Dong-Joo Kim:
A Novel Framework for Visual Motion Imagery Classification Using 3D Virtual BCI Platform. BCI 2020: 1-5 - [c28]Do-Yeun Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim:
Classification of Upper Limb Movements Using Convolutional Neural Network with 3D Inception Block. BCI 2020: 1-5 - [c27]Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim:
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining. BCI 2020: 1-5 - [c26]Seho Lee, Young-Tak Kim, Seung-Ouk Hwang, Hakseung Kim, Dong-Joo Kim:
Importance of Reliable EEG Data in Motor Imagery Classification: Attention Level-based Approach. BCI 2020: 1-4 - [c25]Young-Tak Kim, Dong-Kyu Kim, Hakseung Kim, Dong-Joo Kim:
A Comparison of Oversampling Methods for Constructing a Prognostic Model in the Patient with Heart Failure. ICTC 2020: 379-383 - [c24]In-Nea Wang, Choel-Hui Lee, Hyun-Ji Kim, Hakseung Kim, Dong-Joo Kim:
An Ensemble Deep Learning Approach for Sleep Stage Classification via Single-channel EEG and EOG. ICTC 2020: 394-398 - [c23]Seung-Bo Lee, Minkyung Jung, Hakseung Kim, Seong-Whan Lee, Dong-Joo Kim:
Complex Motor Imagery-based Brain-Computer Interface System: A Comparison Between Different Classifiers. SMC 2020: 2496-2501 - [c22]Seho Lee, Choel-Hui Lee, Hakseung Kim, Dong-Joo Kim:
Lateralization of alpha oscillation under preparation Lead to Efficiency of Motor Imagery: Related with Performance of Classification. SMC 2020: 2502-2505 - [i4]Jeong-Hyun Cho, Ji-Hoon Jeong, Dong-Joo Kim, Seong-Whan Lee:
A novel approach to classify natural grasp actions by estimating muscle activity patterns from EEG signals. CoRR abs/2002.00556 (2020) - [i3]Byoung-Hee Kwon, Ji-Hoon Jeong, Dong-Joo Kim:
A Novel Framework for Visual Motion Imagery Classification Using 3D Virtual BCI Platform. CoRR abs/2002.01120 (2020) - [i2]Do-Yeun Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim:
Classification of Upper Limb Movements Using Convolutional Neural Network with 3D Inception Block. CoRR abs/2002.01121 (2020) - [i1]Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim:
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining. CoRR abs/2002.01122 (2020)
2010 – 2019
- 2019
- [j9]Seung-Bo Lee, Hyun-Ji Kim, Hakseung Kim, Ji-Hoon Jeong, Seong-Whan Lee, Dong-Joo Kim:
Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification. Inf. Sci. 502: 190-200 (2019) - [c21]Young-Tak Kim, Seung-Bo Lee, Hakseung Kim, Ji-Hoon Jeong, Seong-Whan Lee, Dong-Joo Kim:
Exploring the Number of Repetitions in Trials for the Performance Convergence of Classification in Motor Imagery Task with Hand-Grasping. BCI 2019: 1-4 - [c20]Seung-Bo Lee, Hakseung Kim, Ji-Hoon Jeong, In-Nea Wang, Seong-Whan Lee, Dong-Joo Kim:
Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification. BCI 2019: 1-4 - [c19]Yong-Deok Yun, Ji-Hoon Jeong, Jeong-Hyun Cho, Dong-Joo Kim, Seong-Whan Lee:
Reconstructing Degree of Forearm Rotation from Imagined movements for BCI-based Robot Hand Control. EMBC 2019: 3014-3017 - [c18]Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim, Seong-Whan Lee:
Trajectory Decoding of Arm Reaching Movement Imageries for Brain-Controlled Robot Arm System. EMBC 2019: 5544-5547 - [c17]Young-Tak Kim, Seho Lee, Hakseung Kim, Seung-Bo Lee, Seong-Whan Lee, Dong-Joo Kim:
Reduced Burden of Individual Calibration Process in Brain-Computer Interface by Clustering the Subjects based on Brain Activation. SMC 2019: 2139-2143 - [c16]Seung-Bo Lee, Hakseung Kim, Seho Lee, Hyun-Ji Kim, Seong-Whan Lee, Dong-Joo Kim:
Classification of the Motion Artifacts in Near-infrared Spectroscopy Based on Wavelet Statistical Feature. SMC 2019: 2144-2148 - 2018
- [j8]Yunsik Son, Seung-Bo Lee, Hakseung Kim, Eun-Suk Song, Hyub Huh, Marek Czosnyka, Dong-Joo Kim:
Automated artifact elimination of physiological signals using a deep belief network: An application for continuously measured arterial blood pressure waveforms. Inf. Sci. 456: 145-158 (2018) - [j7]Eunji Lee, Doo-Hee Lee, Jaesik Yoon, Yilin Yin, You-Na Lee, Sunil Uprety, Young Soo Yoon, Dong-Joo Kim:
Enhanced Gas-Sensing Performance of GO/TiO2 Composite by Photocatalysis. Sensors 18(10): 3334 (2018) - [c15]Seung-Bo Lee, Eun-Suk Song, Hakseung Kim, Dong-Joo Kim:
Robust arterial blood pressure onset detection method from signal artifacts. BCI 2018: 1-3 - [c14]In-Nea Wang, Hyun-Ji Kim, Eun-Ji Kim, Young-Tak Kim, Dong-Joo Kim:
Evaluation of outlier prevalence of density distribution in brain computed tomography: Comparison of kurtosis and quartile statistics. BCI 2018: 1-2 - [c13]Ji-Hoon Jeong, Keun-Tae Kim, Dong-Joo Kim, Seong-Whan Lee:
Decoding of Multi-directional Reaching Movements for EEG-Based Robot Arm Control. SMC 2018: 511-514 - [c12]Jeong-Hyun Cho, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim, Seong-Whan Lee:
Classification of Hand Motions within EEG Signals for Non-Invasive BCI-Based Robot Hand Control. SMC 2018: 515-518 - 2017
- [c11]Seung-Bo Lee, Eun-Jin Jeong, Yunsik Son, Dong-Joo Kim:
Classification of computed tomography scanner manufacturer using support vector machine. BCI 2017: 85-87 - 2016
- [j6]Hack-Jin Lee, Eun-Jin Jeong, Hakseung Kim, Marek Czosnyka, Dong-Joo Kim:
Morphological Feature Extraction From a Continuous Intracranial Pressure Pulse via a Peak Clustering Algorithm. IEEE Trans. Biomed. Eng. 63(10): 2169-2176 (2016) - 2015
- [j5]Hakseung Kim, Dae-Hyeon Park, Seong Yi, Eun-Jin Jeong, Byung C. Yoon, Marek Czosnyka, Michael P. F. Sutcliffe, Dong-Joo Kim:
Finite element analysis for normal pressure hydrocephalus: The effects of the integration of sulci. Medical Image Anal. 24(1): 235-244 (2015) - [c10]Eun-Jin Jeong, Hakseung Kim, Xiao ke Yang, Hack-Jin Lee, Dae-Hyeon Park, Young-Tak Kim, Dong-Joo Kim:
Morphological landmark detection in arterial blood pressure and intracranial pressure: Preliminary procedures for intracranial pressure waveform analysis. BCI 2015: 1-3 - [c9]Dong-Joo Kim:
Neuromonitoring in acquired brain injury. BCI 2015: 1 - [c8]Young-Tak Kim, Hakseung Kim, Dae-Hyeon Park, Xiao ke Yang, Hack-Jin Lee, Eun-Jin Jeong, Dong-Joo Kim:
Automated phase segmentation in cerebrospinal fluid infusion test. BCI 2015: 1-3 - [c7]Hakseung Kim, Xiao ke Yang, Young-Tak Kim, Hack-Jin Lee, Eun-Jin Jeong, Dae-Hyeon Park, Dong-Joo Kim:
The age-related difference in computed tomography density distribution: A preliminary report. BCI 2015: 1-2 - [c6]Hack-Jin Lee, Hakseung Kim, Dong-Ho Lee, Xiao ke Yang, Eun-Jin Jeong, Dae-Hyeon Park, Young-Tak Kim, Dong-Joo Kim:
Noninvasive assessment of intracranial pressure using functional matrix estimation method. BCI 2015: 1-3 - [c5]Dae-Hyeon Park, Hakseung Kim, Young-Tak Kim, Xiao ke Yang, Hack-Jin Lee, Eun-Jin Jeong, Dong-Joo Kim:
Automated artefact elimination in computed tomography: A preliminary report for traumatic brain injury and stroke. BCI 2015: 1-3 - [c4]Xiao ke Yang, Hakseung Kim, Seong Yi, Eun-Jin Jeong, Dae-Hyeon Park, Young-Tak Kim, Hack-Jin Lee, Dong-Joo Kim:
Semi-automatic designation and segmentation of vertebra and spinal cord in spinal MR imaging: A preliminary report. BCI 2015: 1-2 - 2014
- [j4]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:
Experimental demonstration of a ferroelectric FET using paper substrate. IEICE Electron. Express 11(14): 20140447 (2014) - 2013
- [c3]Hakseung Kim, Young-Tak Kim, Dong-Joo Kim:
Estimation on the development of cerebral edema from computed tomography preliminary studies for pediatric traumatic brain injury patients. BCI 2013: 69-71 - [c2]Hyejin Park, Hosang Ahn, Dong-Joo Kim, Helen Koo:
Nanostructured gas sensors integrated into fabric for wearable breath monitoring system. ISWC 2013: 129-130 - 2011
- [j3]Seon-Bae Kim, Jung-Hyun Park, Hosang Ahn, Dan Liu, Dong-Joo Kim:
Temperature effects on output power of piezoelectric vibration energy harvesters. Microelectron. J. 42(8): 988-991 (2011)
2000 – 2009
- 2006
- [j2]Dong-Joo Kim, Han-Woo Kim:
A Metric for Example Matching in Example-Based Machine Translation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 89-A(6): 1713-1716 (2006) - 2005
- [c1]Yong-Wan Roh, Jung-Hyun Kim, Dong-Joo Kim, Kwang-Seok Hong:
A Hybrid Warping Method Approach to Speaker Warping Adaptation. WILF 2005: 146-155 - 2003
- [j1]Dae-Ki Hong, Dong-Joo Kim, Young-Jo Lee, Sukhyon Yoon, Daesik Hong, Changeon Kang:
A simple interpolation technique for the DFT for joint system parameters estimation in burst MPSK transmissions. IEEE Trans. Commun. 51(7): 1051-1056 (2003)
Coauthor Index
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