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BioComputing Lab

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How much features in brain-computer interface are discriminative? – Quantitative measure by relative entropy
  • AuthorAhn, S., Kang, S., Jun, S.C.
  • Year2011
  • SourceHCI International 2011.

Calibration time reduction through source imaging in Brain-Computer Interface (BCI)
  • AuthorAhn, M., Cho, H., Jun, S.C.
  • Year2011
  • SourceCommunications in Computer and Information Science, 174 CCIS (PART 2), pp. 269-273.

MEG and EEG fusion in Bayesian frame
  • AuthorJun, S.C.
  • Year2010
  • SourceICEIE 2010 pp. V2295-V2299.

Weighted frequency-difference EIT measurement of hemisphere phantom
  • AuthorAhn, S., Oh, T.I., Jun, S.C., Lee, J., Seo, J.K., Woo, E.J.
  • Year2010
  • SourceJournal of Physics: Conference Series, 224 (1), art. no. 012059, .

Frequency-difference electrical impedance tomography: Phantom imaging experiments
  • AuthorAhn, S., Jun, S.C., Seo, J.K., Lee, J., Woo, E.J., Holder, D.
  • Year2010
  • SourceJournal of Physics: Conference Series, 224 (1), art. no. 012152, .

Source space based brain-computer interface
  • AuthorAhn, M., Hong, J.H., Jun, S.C.
  • Year2010
  • SourceIFMBE Proceedings, 28, pp. 366-369.

Speeding-up MEG beamforming source imaging by correlation between measurement and lead-field vector
  • AuthorHong, J.H., Jun, S.C.
  • Year2010
  • SourceIFMBE Proceedings, 28, pp. 148-151.

Performances among various Common Spatial Pattern Methods for simultaneous MEG/EEG data
  • AuthorKang, S., Ahn, M., Jun, S.C.
  • Year2010
  • SourceProceedings of SPIE – The International Society for Optical Engineering, 7500, art. no. 75000X,

Source inversion technique using Bayesian inference: Combined MEG/fMR
  • AuthorJun, S.C., George, J.S., Kim, W., Plis, S.M., Ranken, D.M., Schmidt, D.M.
  • Year2007
  • SourceNFSI 2007 and ICFBI 2007, art. no. 4387710, pp. 144-147.
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