Chan-Jun Sung

Most-cited papers

1. Utilization of a combined EEG/NIRS system to predict driver drowsiness

   Thien Nguyen, Sang-Kyun Ahn, Hyojung Jang, Chan-Jun Sung +1 more

   2017Scientific Reports165 citations Open access

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2. Gamma band activity associated with BCI performance: simultaneous MEG/EEG study

   Minkyu Ahn, Sang-Kyun Ahn, Jun H. Hong, Hohyun Cho +4 more

   2013Frontiers in Human Neuroscience96 citations Open access

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3. Frequency-difference EIT (fdEIT) using weighted difference and equivalent homogeneous admittivity: validation by simulation and tank experiment

   Chan-Jun Sung, Jihyeon Kuen, Jeehyun Lee, E. Woo +2 more

   2009Physiological Measurement77 citations

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4. Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data

   Chan-Jun Sung, J. George, E. Paré-Blagoev, S. Plis +3 more

   2005NeuroImage73 citations

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5. Comparison of frequency difference reconstruction algorithms for the detection of acute stroke using EIT in a realistic head-shaped tank

   B. Packham, H. Koo, A. Romsauerova, Sujin Ahn +3 more

   2012Physiological Measurement57 citations Open access

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6. Relation between the electric field and activation of cortical neurons in transcranial electrical stimulation.

   H. Seo, Chan-Jun Sung

   2019Brain Stimulation50 citations Open access

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7. Validation of weighted frequency-difference EIT using a three-dimensional hemisphere model and phantom

   Sujin Ahn, T. Oh, Chan-Jun Sung, J. Seo +1 more

   2011Physiological Measurement41 citations

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8. Bayesian brain source imaging based on combined MEG/EEG and fMRI using MCMC

   Chan-Jun Sung, J. George, Woohan Kim, E. Paré-Blagoev +3 more

   2008NeuroImage29 citations Open access

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9. Feasibility study for visual discomfort assessment on stereo images using EEG

   Hohyun Cho, Min-Koo Kang, Kuk-jin Yoon, Chan-Jun Sung

   2012International Conference on 3D Imaging28 citations

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10. Probabilistic forward model for electroencephalography source analysis

    S. Plis, J. George, Chan-Jun Sung, D. Ranken +2 more

    2007Physics in Medicine and Biology28 citations Open access

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11. A wellness platform for stereoscopic 3D video systems using EEG-based visual discomfort evaluation technology.

    Min-Koo Kang, Hohyun Cho, Han-Mu Park, Chan-Jun Sung +1 more

    2017Applied Ergonomics24 citations

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12. Improving source detection and separation in a spatiotemporal Bayesian inference dipole analysis

    Chan-Jun Sung, J. George, S. Plis, D. Ranken +2 more

    2006Physics in Medicine and Biology24 citations

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13. Frequency-difference electrical impedance tomography: Phantom imaging experiments

    Sujin Ahn, Chan-Jun Sung, J. Seo, Jeehyun Lee +2 more

    201023 citations Open access

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14. Fast accurate MEG source localization using a multilayer perceptron trained with real brain noise

    Chan-Jun Sung, Barak A. Pearlmutter, G. Nolte

    2002Physics in Medicine and Biology23 citations Open access

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15. Effect of Anatomically Realistic Full-Head Model on Activation of Cortical Neurons in Subdural Cortical Stimulation—A Computational Study

    H. Seo, Donghyeon Kim, Chan-Jun Sung

    2016Scientific Reports21 citations Open access

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16. Computational Study of Subdural Cortical Stimulation: Effects of Simulating Anisotropic Conductivity on Activation of Cortical Neurons

    H. Seo, Donghyeon Kim, Chan-Jun Sung

    2015PLoS ONE20 citations Open access

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17. Computational Study on Subdural Cortical Stimulation - The Influence of the Head Geometry, Anisotropic Conductivity, and Electrode Configuration

    Donghyeon Kim, H. Seo, Hyoung-Ihl Kim, Chan-Jun Sung

    2014PLoS ONE20 citations Open access

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18. Fast robust subject‐independent magnetoencephalographic source localization using an artificial neural network

    Chan-Jun Sung, Barak A. Pearlmutter

    2005Human Brain Mapping17 citations Open access

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19. Individualized diagnosis of preclinical Alzheimer's Disease using deep neural networks

    Jinhee Park, Sehyeon Jang, Jeonghwan Gwak, Byeong C. Kim +6 more

    2022Expert systems with applications16 citations

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20. Spatiotemporal noise covariance estimation from limited empirical magnetoencephalographic data

    Chan-Jun Sung, S. Plis, D. Ranken, D. M. Schmidt

    2006Physics in Medicine and Biology12 citations Open access

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21. Continuous Nondestructive Monitoring Method Using the Reconstructed Three-Dimensional Conductivity Images via GREIT for Tissue Engineering

    Sujin Ahn, H. Wi, T. Oh, A. McEwan +2 more

    2014Journal of Applied Mathematics11 citations Open access

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22. MEG source localization using an MLP with a distributed output representation

    Chan-Jun Sung, Barak A. Pearlmutter, G. Nolte

    2003IEEE Transactions on Biomedical Engineering10 citations Open access

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23. Weighted frequency-difference EIT measurement of hemisphere phantom

    Sujin Ahn, T. Oh, Chan-Jun Sung, Jeehyun Lee +2 more

    20109 citations Open access

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24. Modeling spatiotemporal covariance for magnetoencephalography or electroencephalography source analysis.

    S. Plis, J. George, Chan-Jun Sung, J. Paré-Blagoev +3 more

    2007Physical review. E, Statistical, nonlinear, and soft matter physics9 citations

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25. Seeking RSVP Task Features Correlated with P300 Speller Performance

    K. Won, Moonyoung Kwon, Sung-Han Lee, Sehyeon Jang +3 more

    2018IEEE International Conference on Systems, Man and Cybernetics6 citations

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26. Recent advances in biomagnetism and its applications

    Chang-Hwan Im, Chan-Jun Sung, K. Sekihara

    2017Biomedical Engineering Letters6 citations Open access

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27. Scanning Reduction Strategy in MEG/EEG Beamformer Source Imaging

    Jun H. Hong, Chan-Jun Sung

    2012Journal of Applied Mathematics6 citations Open access

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28. MEG and EEG fusion in Bayesian frame

    Chan-Jun Sung

    2010International Conference on Electronics and Information Engineering6 citations

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29. A generalized spatiotemporal covariance model for stationary background in analysis of MEG data

    S. Plis, D. M. Schmidt, Chan-Jun Sung, Doug Ranken

    2006Annual International Conference of the IEEE Engineering in Medicine and Biology Society6 citations Open access

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30. Spatiotemporal noise covariance model for MEG/EEG data source analysis

    S. Plis, J. George, Chan-Jun Sung, J. Paré-Blagoev +3 more

    20056 citations

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31. Seeking Optimal Montage for Single-Pair Transcranial Direct Current Stimulation Using Bayesian Optimization and Hyperband-A Feasibility Study.

    C. Im, Jongseung Lee, Donghyeon Kim, Chan-Jun Sung +1 more

    2024Neuromodulation (Malden, Mass.)2 citations

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32. MEG/EEG Spatiotemporal Noise Covariance Estimation in the Least Squares Sense

    Minkyu Ahn, Chan-Jun Sung

    20112 citations

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33. Fast robust MEG source localization using MLPs

    Chan-Jun Sung, Barak A. Pearlmutter, G. Nolte

    20022 citations

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34. Corrigendum: Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces – Current Limitations and Future Directions

    Sang-Kyun Ahn, Chan-Jun Sung

    2021Frontiers in Human Neuroscience1 citations Open access

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35. Cognitive responses and cortical oscillatory processing at various stereoscopic depths - a simultaneous EEG/MEG study.

    Hohyun Cho, Min-Koo Kang, Sang-Kyun Ahn, Moonyoung Kwon +3 more

    2017Journal of Integrative Neuroscience1 citations

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36. Modeling spatiotemporal noise covariance for MEG/EEG source analysis

    S. Plis, J. George, Chan-Jun Sung, J. Paré-Blagoev +3 more

    20051 citations

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37. Is Notable EEG Feature Extracted Over Time-Dependent Cognitive Load Variation During Intelligence Tests?

    Jinyoung Choi, Sehyeon Jang, Chan-Jun Sung

    2021Asian Conference on Pattern Recognition0 citations

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38. Which is a more deterministic factor for cortical activation induced by transcranial electrical stimulation, electric field or radial field?

    Hyeyeon Chung, C. Im, H. Seo, Chan-Jun Sung

    2021Brain Stimulation0 citations Open access

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39. Effect of sinusoidal supra-threshold stimulation on activation of excitatory and inhibitory neurons: A computational study

    H. Seo, Seungjun Ryu, Hyoung-Ihl Kim, Chan-Jun Sung

    2019IBRO Reports0 citations Open access

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40. The effect of number of electrodes in the multi-array tDCS - A computational study

    C. Im, H. Seo, Chan-Jun Sung

    2019Brain Stimulation0 citations

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41. Effect of acoustic stimulation after sleep spindle activity

    J. Choi, S. Han, K. Won, Chan-Jun Sung

    20170 citations

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42. P076 A beagle model for understanding tDCS effects

    Junkil Been, D. Kim, H. Seo, Chan-Jun Sung

    20170 citations

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43. ABS-based brain phantom mold for validating the computational brain stimulation model

    Donghyeon Kim, Jinmo Jeong, Sohee Kim, Euiheon Chung +1 more

    20150 citations Open access

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44. Corrigendum : Complete electrode model in EEG : relationship and differences to the point electrode model 2012 Phys . Med . Biol . 57 999 – 1017

    A. Sorrentino, J. George, Chan-Jun Sung, C. E. Acar +2 more

    20120 citations

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45. Weighted frequency-difference EIT measurement of hemisphere phantom

    Sujin Ahn, T. Oh, Chan-Jun Sung, Jeehyun Lee +2 more

    20100 citations Open access

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46. Interactive Scientific Visualization of High-resolution Brain Imagery Over Networked Tiled Display

    Seokho Son, Jun H. Hong, Changhyeok Bae, Chan-Jun Sung +1 more

    2010Future Application and Middleware Technology on e-Science0 citations

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47. Single-trial Analysis for MEG/EEG spatiotemporal data

    J. Hong, Chan-Jun Sung

    20090 citations

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48. 6-14: Integrative Analysis for Simultaneous Spatiotemporal Meg and Eeg 6-15: Spatio-temporal Investigation of Resting State Networks through a Combined Fmri-meg Study 6-16: Signal Processing Techniques for Multimodality Studies

    Chan-Jun Sung, F. Pasquale, S. D. Penna, D. Mantini +15 more

    20080 citations

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49. Source Inversion Technique using Bayesian Inference: Combined MEG/fMRI

    Chan-Jun Sung, J. George, Woohan Kim, S. Plis +2 more

    2007Joint Meeting of International Symposium on Noninvasive Functional Source Imaging of Brain and Heart and International Conference on Functional Biomedical Imaging0 citations

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50. Blind Source Separation for the Superconducting Imaging-Surface Magnetoencephalography System

    K. Maharajh, Chan-Jun Sung, Barak A. Pearlmutter, R. Kraus +1 more

    20070 citations

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