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ORCIDSung Chan Jun
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2020 – today
- 2023
[j21]Cheolki Im, Hyoung-Ihl Kim, Sung Chan Jun
:
Are invasive cortical stimulations effective in brain atrophy? Comput. Biol. Medicine 154: 106572 (2023)- [c28]Heegyu Kim, Kyungho Won, Minkyu Ahn, Sung Chan Jun:
Cognitive-switch detection for un-cued SSVEP BCI speller. BCI 2023: 1-5 - [c27]Jihoon Baek, Kyungho Won, Heegyu Kim, Sunghan Lee, Jinung An, Sung Chan Jun:
Pain Classification using Evoked EEG Induced by Thermal Grill Illusion - Deep Neural Network Approach. EMBC 2023: 1-4 - [c26]Kyeongseop Park, Hyeyeon Chung, Cheolki Im, Sung Chan Jun:
Entrainment effects upon synaptically connected microcircuit in transcranial alternating current stimulation. NER 2023: 1-4 - [c25]Sunghyun Kang, Kyungho Won, Heegyu Kim, Jihoon Baek, Minkyu Ahn, Sung Chan Jun:
Achieving Effective Artifact Subspace Reconstruction in EEG Using Real-Time Video-Based Artifact Identification. SMC 2023: 4417-4422 - 2022
- [j20]Hyeyeon Chung, Cheolki Im, Hyeon Seo, Sung Chan Jun:
Key factors in the cortical response to transcranial electrical Stimulations - A multi-scale modeling study. Comput. Biol. Medicine 144: 105328 (2022) - [j19]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:
Individualized diagnosis of preclinical Alzheimer's Disease using deep neural networks. Expert Syst. Appl. 210: 118511 (2022) - 2021
- [j18]Hyeon Seo, Sung Chan Jun:
Computational exploration of epidural cortical stimulation using a realistic head model. Comput. Biol. Medicine 135: 104290 (2021) - [j17]Kyungho Won, Moonyoung Kwon, Minkyu Ahn, Sung Chan Jun:
Selective Subject Pooling Strategy to Improve Model Generalization for a Motor Imagery BCI. Sensors 21(16): 5436 (2021) - [c24]Jinyoung Choi, Sehyeon Jang, Sung Chan Jun:
Is Notable EEG Feature Extracted Over Time-Dependent Cognitive Load Variation During Intelligence Tests? ACPR (2) 2021: 347-355 - [c23]Kyungho Won, Moonyoung Kwon, Minkyu Ahn, Sung Chan Jun:
Selective Subject Pooling Strategy to Achieve Subject-Independent Motor Imagery BCI. BCI 2021: 1-4 - [c22]Hyeyeon Chung, Cheolki Im, Hyeon Seo, Sung Chan Jun:
Is electric field strength deterministic in cortical neurons' response to transcranial electrical stimulation? EMBC 2021: 6025-6028 - 2020
- [j16]Jongmin Lee, Kyungho Won, Moonyoung Kwon, Sung Chan Jun, Minkyu Ahn:
CNN With Large Data Achieves True Zero-Training in Online P300 Brain-Computer Interface. IEEE Access 8: 74385-74400 (2020) - [j15]Jinyoung Choi, Moonyoung Kwon, Sung Chan Jun:
A Systematic Review of Closed-Loop Feedback Techniques in Sleep Studies - Related Issues and Future Directions. Sensors 20(10): 2770 (2020) - [c21]Hyeyeon Chung, Cheolki Im, Hyeon Seo, Sung Chan Jun:
Morphological Influence and Electric Field Direction's Influence on Activation of Cortical Neurons in Electrical Brain Stimulation: a Computational Study. EMBC 2020: 2938-2941
2010 – 2019
- 2019
- [j14]Cheolki Im, Hyeon Seo, Sung Chan Jun:
Geometrical Variation's Influence on the Effects of Stimulation May be Important in the Conventional and Multi-Array tDCS-Comparison of Electrical Fields Computed. IEEE Access 7: 8557-8569 (2019) - [j13]Jinyoung Choi, Kyungho Won, Sung Chan Jun:
Acoustic Stimulation Following Sleep Spindle Activity May Enhance Procedural Memory Consolidation During a Nap. IEEE Access 7: 56297-56307 (2019) - [j12]Hyunkeun Lee, Jinyoung Choi, Seunghun Kim, Sung Chan Jun, Byung-Geun Lee:
A Compressive Sensing-Based Automatic Sleep-Stage Classification System With Radial Basis Function Neural Network. IEEE Access 7: 186499-186509 (2019) - [j11]Sunghan Lee, Hohyun Cho, Kiseong Kim, Sung Chan Jun:
Simultaneous EEG Acquisition System for Multiple Users: Development and Related Issues. Sensors 19(20): 4592 (2019) - [j10]Moonyoung Kwon, Sangjun Han, Kiwoong Kim, Sung Chan Jun:
Super-Resolution for Improving EEG Spatial Resolution using Deep Convolutional Neural Network - Feasibility Study. Sensors 19(23): 5317 (2019) - [c20]Yangwoo Kim, Sehyeon Jang, Kyungho Won, Sung Chan Jun:
CANet: A Channel Attention Network to Determine Informative Multi-channel for Image Classification from Brain Signals. EMBC 2019: 680-683 - 2018
- [c19]Sunghan Lee, Sangjun Han, Sung Chan Jun:
EEG Hyperscanning for Eight or more Persons - Feasibility Study for Emotion Recognition using Deep Learning Technique. APSIPA 2018: 488-492 - [c18]Jinyoung Choi, Sangjun Han, Kyungho Won, Sung Chan Jun:
The Neurophysiological Effect of Acoustic Stimulation with Real-time Sleep Spindle Detection. EMBC 2018: 470-473 - [c17]Cheolki Im, Hyeon Seo, Sung Chan Jun:
Stimulation Effect of Inter-subject Variability in tDCS-Multi-scale Modeling Study. EMBC 2018: 3092-3095 - [c16]Sangjun Han, Moonyoung Kwon, Sunghan Lee, Sung Chan Jun:
Feasibility Study of EEG Super-Resolution Using Deep Convolutional Networks. SMC 2018: 1033-1038 - [c15]Moonyoung Kwon, Hohyun Cho, Kyungho Won, Minkyu Ahn, Sung Chan Jun:
Event-Related Desynchronization (ERD) May Not be Correlated with Motor Imagery BCI Performance. SMC 2018: 1133-1137 - [c14]Kyungho Won, Moonyoung Kwon, Sunghan Lee, Sehyeon Jang, Jongmin Lee, Minkyu Ahn, Sung Chan Jun:
Seeking RSVP Task Features Correlated with P300 Speller Performance. SMC 2018: 1138-1143 - 2017
- [c13]Sunghan Lee, Hohyun Cho, Sung Chan Jun:
Simultaneous bio-signal measurement system for multiple users - development and validation. APSIPA 2017: 724-727 - [c12]Hyeon Seo, Hyoung-Ihl Kim, Sung Chan Jun:
A computational study on effect of a transcranial channel as a skull/brain interface in the conventional rectangular patch-type transcranial direct current stimulation. EMBC 2017: 1946-1949 - 2016
- [j9]Hohyun Cho, Moonyoung Kwon, Hyojung Jang, Jee-Bum Lee, Kyung Chul Yoon, Sung Chan Jun:
Herbal Extracts That Reduce Ocular Oxidative Stress May Enhance Attentive Performance in Humans. Comput. Intell. Neurosci. 2016: 4292145:1-4292145:13 (2016) - [c11]Hyeon Seo, Donghyeon Kim, Sung Chan Jun:
Effects of electrode displacement in high-definition transcranial direct current stimulation: A computational study. EMBC 2016: 4618-4621 - [c10]Sehyeon Jang, Donghyeon Kim, Junkil Been, Hohyun Cho, Sung Chan Jun:
Oscillatory brain activity changes by anodal tDCS - An ECoG study on anesthetized beagles. EMBC 2016: 5258-5261 - 2015
- [j8]Younghak Shin, Seungchan Lee, Minkyu Ahn, Hohyun Cho, Sung Chan Jun, Heung-No Lee:
Noise robustness analysis of sparse representation based classification method for non-stationary EEG signal classification. Biomed. Signal Process. Control. 21: 8-18 (2015) - [j7]Younghak Shin, Seungchan Lee, Minkyu Ahn, Hohyun Cho, Sung Chan Jun, Heung-No Lee:
Simple adaptive sparse representation based classification schemes for EEG based brain-computer interface applications. Comput. Biol. Medicine 66: 29-38 (2015) - 2014
- [j6]Sujin Ahn, Hun Wi, Tong In Oh, Alistair Lee McEwan, Sung Chan Jun, Eung Je Woo:
Continuous Nondestructive Monitoring Method Using the Reconstructed Three-Dimensional Conductivity Images via GREIT for Tissue Engineering. J. Appl. Math. 2014: 562176:1-562176:11 (2014) - [j5]Minkyu Ahn, Mi-Jin Lee, Jinyoung Choi, Sung Chan Jun:
A Review of Brain-Computer Interface Games and an Opinion Survey from Researchers, Developers and Users. Sensors 14(8): 14601-14633 (2014) - [c9]Jinmo Jeong, Donghyeon Kim, Sangdo Jeong, Euiheon Chung, Sung Chan Jun, Jong-Hyun Lee, Sohee Kim:
Validation of Numerical Simulation for Subdural Cortical Stimulation - Using Spherical Phantoms and Anatomically Realistic Head Phantom. BIOINFORMATICS 2014: 136-141 - 2013
- [j4]Jun Hee Hong, Minkyu Ahn, Kiwoong Kim, Sung Chan Jun:
Localization of coherent sources by simultaneous MEG and EEG beamformer. Medical Biol. Eng. Comput. 51(10): 1121-1135 (2013) - [j3]Seokho Son, Gihun Jung, Sung Chan Jun:
An SLA-based cloud computing that facilitates resource allocation in the distributed data centers of a cloud provider. J. Supercomput. 64(2): 606-637 (2013) - [c8]Seokho Son, Sung Chan Jun:
Negotiation-Based Flexible SLA Establishment with SLA-driven Resource Allocation in Cloud Computing. CCGRID 2013: 168-171 - [c7]Hyeon Seo, Donghyeon Kim, Sung Chan Jun:
Comparison of neuronal excitation between extruded slab partial head model and full head model in subdural cortical stimulation. EMBC 2013: 241-244 - 2012
- [j2]Jun Hee Hong, Sung Chan Jun:
Scanning Reduction Strategy in MEG/EEG Beamformer Source Imaging. J. Appl. Math. 2012: 528469:1-528469:19 (2012) - [c6]Donghyeon Kim, Hyeon Seo, Hyoung-Ihl Kim, Sung Chan Jun:
The computational study of subdural cortical stimulation: A quantitative analysis of voltage and current stimulation. EMBC 2012: 867-870 - [c5]Hyeon Seo, Donghyeon Kim, Sung Chan Jun:
A comparative study of the 3D precentral gyrus model for unipolar and bipolar current stimulations. EMBC 2012: 1892-1895 - 2011
- [c4]Donghyeon Kim, Sung Chan Jun, Hyoung-Ihl Kim:
Computational study of subdural and epidural cortical stimulation of the motor cortex. EMBC 2011: 7226-7229 - [c3]Minkyu Ahn, Hohyun Cho, Sung Chan Jun:
Calibration Time Reduction through Source Imaging in Brain Computer Interface (BCI). HCI (23) 2011: 269-273 - [c2]Sangtae Ahn, Sungwook Kang, Sung Chan Jun:
How Much Features in Brain-Computer Interface Are Discriminative?- Quantitative Measure by Relative Entropy. HCI (23) 2011: 274-278 - 2010
- [p1]Seokho Son, Jun Hee Hong, Changhyeok Bae, Sung Chan Jun, JongWon Kim:
Interactive Scientific Visualization of High-resolution Brain Imagery Over Networked Tiled Display. Future Application and Middleware Technology on e-Science 2010: 125-136
2000 – 2009
- 2003
- [j1]Sung Chan Jun, Barak A. Pearlmutter, Guido Nolte:
MEG source localization using an MLP with a distributed output representation. IEEE Trans. Biomed. Eng. 50(6): 786-789 (2003) - [c1]Sung Chan Jun, Barak A. Pearlmutter:
Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron. NIPS 2003: 741-748
Coauthor Index
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