Dong-Joo Kim

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 52

Top Topics

Convolutional Neural Network

Top Venues

Publications

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 (2024)
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 (2024)
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)
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 (2024)
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) (2023)
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)
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)
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 (2023)
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)
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) (2023)
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
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) (2023)
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)
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) (2022)
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)
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)
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)
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)
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)
Naresh Shahi, Eunji Lee, Byungjin Min, Dong-Joo Kim
Rice Husk-Derived Cellulose Nanofibers: A Potential Sensor for Water-Soluble Gases. Sensors 21 (13) (2021)
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) (2021)
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) (2021)
Ji Hyeok Jeong, Dong-Joo Kim, Hyungmin Kim
Hybrid Zero-Training BCI based on Convolutional Neural Network for Lower-limb Motor-Imagery. BCI (2021)
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)
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)
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)
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)
Byoung-Hee Kwon, Ji-Hoon Jeong, Dong-Joo Kim
A Novel Framework for Visual Motion Imagery Classification Using 3D Virtual BCI Platform. CoRR (2020)
Byoung-Hee Kwon, Ji-Hoon Jeong, Dong-Joo Kim
A Novel Framework for Visual Motion Imagery Classification Using 3D Virtual BCI Platform. BCI (2020)
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)
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)
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)
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 (2020)
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)
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)
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 (2020)
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)
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 (2020)
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)
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)
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)
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)
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)
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 (2019)
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)
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)
Eunji Lee, Doo-Hee Lee, Jaesik Yoon, Yilin Yin, You Na Lee, Sunil Uprety, Young Soo Yoon, Dong-Joo Kim
Composite by Photocatalysis. Sensors 18 (10) (2018)
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 (2018)
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)
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)
Seung-Bo Lee, Eun-Suk Song, Hakseung Kim, Dong-Joo Kim
Robust arterial blood pressure onset detection method from signal artifacts. BCI (2018)
Seung-Bo Lee, Eun-Jin Jeong, Yunsik Son, Dong-Joo Kim
Classification of computed tomography scanner manufacturer using support vector machine. BCI (2017)
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) (2016)
Dong-Joo Kim
Neuromonitoring in acquired brain injury. BCI (2015)
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)
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) (2015)
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)
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)
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)
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)
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)
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) (2014)
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)
Hyejin Park, Hosang Ahn, Dong-Joo Kim, Helen Koo
Nanostructured gas sensors integrated into fabric for wearable breath monitoring system. ISWC (2013)
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) (2011)
Dong-Joo Kim, Han-Woo Kim
A Metric for Example Matching in Example-Based Machine Translation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (6) (2006)
Yong-Wan Roh, Jung-Hyun Kim, Dong-Joo Kim, Kwang-Seok Hong
A Hybrid Warping Method Approach to Speaker Warping Adaptation. WILF (2005)
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) (2003)