Hyun-Chul Kim
Orcid: 0000-0001-7943-3295Affiliations:
- Korea University, Department of Brain and Cognitive Engineering, Seoul, Korea
According to our database1,
Hyun-Chul Kim
authored at least 10 papers
between 2013 and 2020.
Collaborative distances:
Collaborative distances:
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Bibliography
2020
fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations.
NeuroImage, 2020
A naturalistic viewing paradigm using 360° panoramic video clips and real-time field-of-view changes with eye-gaze tracking.
NeuroImage, 2020
2019
Mediation analysis of triple networks revealed functional feature of mindfulness from real-time fMRI neurofeedback.
NeuroImage, 2019
Deep neural network predicts emotional responses of the human brain from functional magnetic resonance imaging.
NeuroImage, 2019
2018
3D convolutional neural network for feature extraction and classification of fMRI volumes.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018
2017
Evaluation of weight sparsity regularizion schemes of deep neural networks applied to functional neuroimaging data.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Evaluation of weight sparsity control during autoencoder training of resting-state fMRI using non-zero ratio and hoyer's sparseness.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
2015
Recursive approach of EEG-segment-based principal component analysis substantially reduces cryogenic pump artifacts in simultaneous EEG-fMRI data.
NeuroImage, 2015
Desynchronization of the mu oscillatory activity during motor imagery: A preliminary EEG-fMRI study.
Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015
2013
Random Segmentation Based Principal Component Analysis to Remove Residual MR Gradient Artifact in the Simultaneous EEG/fMRI: A Preliminary Study.
Proceedings of the Neural Information Processing - 20th International Conference, 2013