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Journal of Neuroscience Methods|November 24, 2011
Feasibility of approaches combining sensor and source features in brain-computer interfaceMinkyu Ahn, Jun Hee Hong, Sung Chan Jun
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
A computational study on effect of a transcranial channel as a skull/brain interface in the conventional rectangular patch-type transcranial direct current stimulationHyeon Seo, Hyoung-Ihl Kim, Sung Chan Jun
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Computational study of subdural and epidural cortical stimulation of the motor cortexDonghyeon Kim, Sung Chan Jun, Hyoung-Ihl Kim
Computers in Biology and Medicine|January 27, 2023
Are invasive cortical stimulations effective in brain atrophy?Cheolki Im, Hyoung-Ihl Kim, Sung Chan Jun
Plos One|September 7, 2013
Independent component analysis for brain FMRI does indeed select for maximal independenceVince D Calhoun, Vamsi K Potluru, Ronald Phlypo, et al.
Computers in Biology and Medicine|March 1, 2022
Key factors in the cortical response to transcranial electrical Stimulations-A multi-scale modeling studyHyeyeon Chung, Cheolki Im, Hyeon Seo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
CANet: A Channel Attention Network to Determine Informative Multi-channel for Image Classification from Brain SignalsYangwoo Kim, Sehyeon Jang, Kyungho Won, et al.
Journal of Neural Engineering|April 24, 2024
Signal alignment for cross-datasets in P300 brain-computer interfacesMinseok Song, Daeun Gwon, Sung Chan Jun, et al.
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