Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron. - Sung Chan Jun; Barak A. Pearlmutter (NIPS, 2003)

MEG source localization using an MLP with a distributed output representation. - Sung Chan Jun; Barak A. Pearlmutter; Guido Nolte (IEEE Trans. Biomed. Eng., 2003)

Interactive Scientific Visualization of High-resolution Brain Imagery Over Networked Tiled Display. - Seokho Son; Jun Hee Hong; Changhyeok Bae; Sung Chan Jun; JongWon Kim 001 (Future Application and Middleware Technology on e-Science, 2010)

Computational study of subdural and epidural cortical stimulation of the motor cortex. - Donghyeon Kim; Sung Chan Jun; Hyoung-Ihl Kim (EMBC, 2011)

Calibration Time Reduction through Source Imaging in Brain Computer Interface (BCI). - Minkyu Ahn; Hohyun Cho; Sung Chan Jun (HCI (23), 2011)

How Much Features in Brain-Computer Interface Are Discriminative?- Quantitative Measure by Relative Entropy. - Sangtae Ahn; Sungwook Kang; Sung Chan Jun (HCI (23), 2011)

The computational study of subdural cortical stimulation: A quantitative analysis of voltage and current stimulation. - Donghyeon Kim; Hyeon Seo; Hyoung-Ihl Kim; Sung Chan Jun (EMBC, 2012)

A comparative study of the 3D precentral gyrus model for unipolar and bipolar current stimulations. - Hyeon Seo; Donghyeon Kim; Sung Chan Jun (EMBC, 2012)

Scanning Reduction Strategy in MEG/EEG Beamformer Source Imaging. - Jun Hee Hong; Sung Chan Jun (J. Appl. Math., 2012)

Negotiation-Based Flexible SLA Establishment with SLA-driven Resource Allocation in Cloud Computing. - Seokho Son; Sung Chan Jun (CCGRID, 2013)

Comparison of neuronal excitation between extruded slab partial head model and full head model in subdural cortical stimulation. - Hyeon Seo; Donghyeon Kim; Sung Chan Jun (EMBC, 2013)

Localization of coherent sources by simultaneous MEG and EEG beamformer. - Jun Hee Hong; Minkyu Ahn; Kiwoong Kim; Sung Chan Jun (Medical Biol. Eng. Comput., 2013)

An SLA-based cloud computing that facilitates resource allocation in the distributed data centers of a cloud provider. - Seokho Son; Gihun Jung; Sung Chan Jun (J. Supercomput., 2013)

Validation of Numerical Simulation for Subdural Cortical Stimulation - Using Spherical Phantoms and Anatomically Realistic Head Phantom. - Jinmo Jeong; Donghyeon Kim; Sangdo Jeong; Euiheon Chung; Sung Chan Jun; Jong-Hyun Lee; Sohee Kim (BIOINFORMATICS, 2014)

Continuous Nondestructive Monitoring Method Using the Reconstructed Three-Dimensional Conductivity Images via GREIT for Tissue Engineering. - Sujin Ahn; Hun Wi; Tong In Oh; Alistair Lee McEwan; Sung Chan Jun; Eung Je Woo (J. Appl. Math., 2014)

A Review of Brain-Computer Interface Games and an Opinion Survey from Researchers, Developers and Users. - Minkyu Ahn; Mi-Jin Lee; Jinyoung Choi; Sung Chan Jun (Sensors, 2014)

Noise robustness analysis of sparse representation based classification method for non-stationary EEG signal classification. - Younghak Shin; Seungchan Lee; Minkyu Ahn; Hohyun Cho; Sung Chan Jun; Heung-No Lee (Biomed. Signal Process. Control., 2015)

Simple adaptive sparse representation based classification schemes for EEG based brain-computer interface applications. - Younghak Shin; Seungchan Lee; Minkyu Ahn; Hohyun Cho; Sung Chan Jun; Heung-No Lee (Comput. Biol. Medicine, 2015)

Oscillatory brain activity changes by anodal tDCS - An ECoG study on anesthetized beagles. - Sehyeon Jang; Donghyeon Kim; Junkil Been; Hohyun Cho; Sung Chan Jun (EMBC, 2016)

Effects of electrode displacement in high-definition transcranial direct current stimulation: A computational study. - Hyeon Seo; Donghyeon Kim; Sung Chan Jun (EMBC, 2016)

Herbal Extracts That Reduce Ocular Oxidative Stress May Enhance Attentive Performance in Humans. - Hohyun Cho; Moonyoung Kwon; Hyojung Jang; Jee-Bum Lee; Kyung Chul Yoon; Sung Chan Jun (Comput. Intell. Neurosci., 2016)

Simultaneous bio-signal measurement system for multiple users - development and validation. - Sunghan Lee; Hohyun Cho; Sung Chan Jun (APSIPA, 2017)

A computational study on effect of a transcranial channel as a skull/brain interface in the conventional rectangular patch-type transcranial direct current stimulation. - Hyeon Seo; Hyoung-Ihl Kim; Sung Chan Jun (EMBC, 2017)

EEG Hyperscanning for Eight or more Persons - Feasibility Study for Emotion Recognition using Deep Learning Technique. - Sunghan Lee; Sangjun Han; Sung Chan Jun (APSIPA, 2018)

The Neurophysiological Effect of Acoustic Stimulation with Real-time Sleep Spindle Detection. - Jinyoung Choi; Sangjun Han; Kyungho Won; Sung Chan Jun (EMBC, 2018)

Stimulation Effect of Inter-subject Variability in tDCS-Multi-scale Modeling Study. - Cheolki Im; Hyeon Seo; Sung Chan Jun (EMBC, 2018)

Feasibility Study of EEG Super-Resolution Using Deep Convolutional Networks. - Sangjun Han; Moonyoung Kwon; Sunghan Lee; Sung Chan Jun (SMC, 2018)

Event-Related Desynchronization (ERD) May Not be Correlated with Motor Imagery BCI Performance. - Moonyoung Kwon; Hohyun Cho; Kyungho Won; Minkyu Ahn; Sung Chan Jun (SMC, 2018)

Seeking RSVP Task Features Correlated with P300 Speller Performance. - Kyungho Won; Moonyoung Kwon; Sunghan Lee; Sehyeon Jang; Jongmin Lee; Minkyu Ahn; Sung Chan Jun (SMC, 2018)

CANet: A Channel Attention Network to Determine Informative Multi-channel for Image Classification from Brain Signals. - Yangwoo Kim; Sehyeon Jang; Kyungho Won; Sung Chan Jun (EMBC, 2019)

Acoustic Stimulation Following Sleep Spindle Activity May Enhance Procedural Memory Consolidation During a Nap. - Jinyoung Choi; Kyungho Won; Sung Chan Jun (IEEE Access, 2019)

Geometrical Variation's Influence on the Effects of Stimulation May be Important in the Conventional and Multi-Array tDCS-Comparison of Electrical Fields Computed. - Cheolki Im; Hyeon Seo; Sung Chan Jun (IEEE Access, 2019)

A Compressive Sensing-Based Automatic Sleep-Stage Classification System With Radial Basis Function Neural Network. - Hyunkeun Lee; Jinyoung Choi; Seunghun Kim 002; Sung Chan Jun; Byung-Geun Lee (IEEE Access, 2019)

Super-Resolution for Improving EEG Spatial Resolution using Deep Convolutional Neural Network - Feasibility Study. - Moonyoung Kwon; Sangjun Han; Kiwoong Kim; Sung Chan Jun (Sensors, 2019)

Simultaneous EEG Acquisition System for Multiple Users: Development and Related Issues. - Sunghan Lee; Hohyun Cho; Kiseong Kim; Sung Chan Jun (Sensors, 2019)

Morphological Influence and Electric Field Direction's Influence on Activation of Cortical Neurons in Electrical Brain Stimulation: a Computational Study. - Hyeyeon Chung; Cheolki Im; Hyeon Seo; Sung Chan Jun (EMBC, 2020)

CNN With Large Data Achieves True Zero-Training in Online P300 Brain-Computer Interface. - Jongmin Lee; Kyungho Won; Moonyoung Kwon; Sung Chan Jun; Minkyu Ahn (IEEE Access, 2020)

A Systematic Review of Closed-Loop Feedback Techniques in Sleep Studies - Related Issues and Future Directions. - Jinyoung Choi; Moonyoung Kwon; Sung Chan Jun (Sensors, 2020)

Is Notable EEG Feature Extracted Over Time-Dependent Cognitive Load Variation During Intelligence Tests? - Jinyoung Choi; Sehyeon Jang; Sung Chan Jun (ACPR (2), 2021)

Selective Subject Pooling Strategy to Achieve Subject-Independent Motor Imagery BCI. - Kyungho Won; Moonyoung Kwon; Minkyu Ahn; Sung Chan Jun (BCI, 2021)

Is electric field strength deterministic in cortical neurons' response to transcranial electrical stimulation? - Hyeyeon Chung; Cheolki Im; Hyeon Seo; Sung Chan Jun (EMBC, 2021)

Computational exploration of epidural cortical stimulation using a realistic head model. - Hyeon Seo; Sung Chan Jun (Comput. Biol. Medicine, 2021)

Selective Subject Pooling Strategy to Improve Model Generalization for a Motor Imagery BCI. - Kyungho Won; Moonyoung Kwon; Minkyu Ahn; Sung Chan Jun (Sensors, 2021)

Key factors in the cortical response to transcranial electrical Stimulations - A multi-scale modeling study. - Hyeyeon Chung; Cheolki Im; Hyeon Seo; Sung Chan Jun (Comput. Biol. Medicine, 2022)

Individualized diagnosis of preclinical Alzheimer's Disease using deep neural networks. - Jinhee Park; Sehyeon Jang; Jeonghwan Gwak; Byeong C. Kim; Jang Jae Lee; Kyu Yeong Choi; Kun Ho Lee; Sung Chan Jun; Gil-Jin Jang; Sangtae Ahn (Expert Syst. Appl., 2022)

Cognitive-switch detection for un-cued SSVEP BCI speller. - Heegyu Kim; Kyungho Won; Minkyu Ahn; Sung Chan Jun (BCI, 2023)

Pain Classification using Evoked EEG Induced by Thermal Grill Illusion - Deep Neural Network Approach. - Jihoon Baek; Kyungho Won; Heegyu Kim; Sunghan Lee; Jinung An; Sung Chan Jun (EMBC, 2023)

Entrainment effects upon synaptically connected microcircuit in transcranial alternating current stimulation. - Kyeongseop Park; Hyeyeon Chung; Cheolki Im; Sung Chan Jun (NER, 2023)

Achieving Effective Artifact Subspace Reconstruction in EEG Using Real-Time Video-Based Artifact Identification. - Sunghyun Kang; Kyungho Won; Heegyu Kim; Jihoon Baek; Minkyu Ahn; Sung Chan Jun (SMC, 2023)

Are invasive cortical stimulations effective in brain atrophy? - Cheolki Im; Hyoung-Ihl Kim; Sung Chan Jun (Comput. Biol. Medicine, 2023)

Exploring Spatial Information for EEG-Based User Authentication: A ShallowNet Approach. - Chaehyun Lee; Sunghyun Kang; Heegyu Kim; Sung Chan Jun (SMC, 2024)

Neural Dynamics of Group Interaction in the Iterate Multi-player Prisoner's Dilemma Game: Multilayer Network Approach. - Heegyu Kim; Sung Chan Jun; Chang S. Nam (HCI (13), 2025)