Hakseung Kim

43 papers B 4Journal 17Unranked 22
YearRankTypeTitle / Venue / Authors
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
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 — 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
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
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
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 — 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 — 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
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
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
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
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
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 — conf
Robust arterial blood pressure onset detection method from signal artifacts.
BCI
Seung-Bo Lee, Eun-Suk Song, Hakseung Kim, 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
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
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