Browse "BiS-Conference Papers(학술회의논문)" by Type Conference
Showing results 761 to 780 of 3454
| Decoding both intention and learning strategies from EEG signals Kim, Dongjae; Lee, Sang Wan, 7th International Winter Conference on Brain-Computer Interface, BCI 2019, pp.72 - 75, Institute of Electrical and Electronics Engineers Inc., 2019-02-18 |
| Decoding Electrocorticography Signals of the Arm Movement Using Echo State Netwokrs Kim, Hoon Hee; Jeong, Jaeseung, 2018 3rd International Conference on Biomedical Imaging, Signal Processing (ICBSP 2018), Polytechnic University of Bari, 2018-10-11 |
| Decoding Imagined Hand Movement in Three-Dimensional Space Using Electrocorticographic Signals in Humans Jang, Sang Jin; Jeong, Jaeseung, 2018 3rd International Conference on Biomedical Imaging, Signal Processing (ICBSP 2018), Polytechnic University of Bari, 2018-10-11 |
| Decoding learning strategies from EEG signals provides generalizable features for decoding decision Kim, Dongjae; Kim, Myeong-hyeon; Lee, Sang Wan, 9th International Winter Conference on Brain-Computer Interface (BCI 2021), IEEE, 2021-02 |
| Decoding prefrontal cognitive states from electroencephalography in virtual-reality environment Kim, Dongjae; Park, Jiseong; Hwang, Jeongseok; Cho, Wan Hee; Lee, Sang Wan, 8th International Winter Conference on Brain-Computer Interface, BCI 2020, Institute of Electrical and Electronics Engineers Inc., 2020-02 |
| Decoding retrieved episodic memory in the prefrontal and parietal cortex Kim, Gayoung; Lee, Sue-Hyun, Vision Sciences Society Annual Meeting, Vision Sciences Society, 2018-05-21 |
| Decoding Retrieved Face Information in Humans Lee, Sue Hyun; Levy, Brandon A; Baker, Chris I, The 20th International Conference on Biomagnetism (BIOMAG 2016), BIOMAG, 2016-10-06 |
| Decoding trajectories of imagined hand movement using electrocorticograms for brain-machine interface Jang, Sang Jin; Jeong, Jaeseung; Yang, Yu Jin; Kim, June Sic; Chung, Chun Kee, 9th IEEE International Winter Conference on Brain-Computer Interface (BCI), pp.279 - 282, IEEE, 2021-02 |
| Decomposition of human signaling network into two modules: evolvable core and robust neighbor Kim, J.; Kim, J.; Cho, Kwang-Hyun, 12th Int. Conf. on Systems Biology (ICSB2011), 2011-08-29 |
| Decoupling novelty and uncertainty representation in the human brain during learning and inference 강예원; 허수연; 이상완, 2018년도 대한뇌기능매핑학회 추계학술대회, 대한뇌기능매핑학회, 2018-11-02 |
| Decreased Cortical Complexity in Methamphetamine Abusers Yun, Kyongsik; Park, Hee-Kwon; Kwon, Do-Hoon; Cho, Sung-Nam; Cho, Hyun-Jin; Jeong, Jaeseung, Korean College of Neuropsychopharmacology, 2008 |
| Decreased empathy and functional network alteration in a mice model of ostracism Jung, Seungmoon; Jeong, Yong; YOON, JINHUI; Chung, Jinyong, 2018 SfN, 2018 SfN, 2018-11-07 |
| Decreased functional connectivity in patients with major depressive disorder revealed by synchronization likelihood of the EEG Park, Chan-A; Kwon, Ryuk-Jun; Kim, Seungyeon; Jang, Hye-ran; Chae, Jeong-Ho; Kim, Taemin; Jeong, Jaeseung, World Congress on Medical Physics and Biomedical Engineering, 2006 |
| Deep Interaction between Reinforcement Learning Algorithms and Human Reinforcement Learning 신재훈; 이지항; 이상완, 한국인공지능학회 하계학술대회, 한국인공지능학회, 2020-08 |
| DEEP LEARNING FAST MRI USING CHANNEL ATTENTION IN MAGNITUDE DOMAIN Lee, Joonhyung; Kim, Hyunjong; Chung, HyungJin; Ye, Jong Chul, 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, pp.917 - 920, IEEE, 2020-04 |
| DEEP LEARNING FOR ACCELERATED ULTRASOUND IMAGING Yoon, Yeo Hun; Ye, Jong Chul, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.6673 - 6676, IEEE, 2018-04 |
| Deep Learning to Produce Realistic MR Images through Fréchet Inception Distance Monitoring Seo, Sunghun; Choi, Seung Hong; Park, Sung-Hong, 2020 ISMRM & SMRT Virtual Conference & Exhibition, pp.3609, International Society for Magnetic Resonance in Medicine, 2020-08-11 |
| Deep Learning-Based Universal Beamformer for Ultrasound Imaging Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chul, 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, pp.619 - 627, Springer, 2019-10 |
| Deep Neural Experimenter : Hypothesis and Covariate Auto-Verification Paradigm Lee, C; Heo, S; 이상완, NBNI 2018, 한국뇌공학과, 2018-10-15 |
| Deep Residual Learning Approach for Sparse-view CT Reconstruction Han, Yoseob; Ye, Jong Chul, Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Fully3D conference organization, 2017-06 |
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