Congratulation!! A paper on leveraging population-based and personalized reference Intervals for liver and spleen volumes in healthy individuals and those with viral hepatitis has been accepted for publication in Radiology. D.W. Kim, J. Ha, S. Lee, J.H. Kwon, N.Y. Kim, Y. Sung, J.-S. Yoon, H.-I. Suk, Y. Lee, and B.-K. Kang, “Population-based and Personalized Reference Intervals...
Congratulation!! Our co-work with Prof. Min on “Electrophysiological Decoding of Spatial and Color Processing in Human Prefrontal Cortex” is accepted for publication in NeuroImage. B.-K. Min*, H. S. Kim, W. Ko, M.-H. Ahn, H.-I. Suk, D. Pantazis, R. T. Knight, “Electrophysiological Decoding of Spatial and Color Processing in Human Prefrontal Cortex,” NeuroImage, Accepted. (* Corresponding author)
Congratulations!!! Wonjun and Eunjin’s review paper, “A Survey on Deep Learning-based Short/Zero-calibration Approaches for EEG-based Brain-Computer Interfaces,” has been accepted for publication in Frontiers in Human Neuroscience (JCR-IF: 2.673).
Congratulations!!! Wonsik’s work on “Deep Recurrent Model for Individualized Prediction of Alzheimer’s Disease Progression” is accepted for publication in NeuroImage.
Congratulations!!! Jiyeon and Wonjun’s paper, titled “A Unified Framework for Personalized Regions Selection and Functional Relation Modeling for Early MCI Identification,” is accepted for publication in NeuroImage.
Congratulations!!! Wonjun’s work on “Multi-Scale Neural Network for EEG Representation Learning in BCI” is accepted to IEEE Computational Intelligence Magazine (IF: 9.083).
Congratulations!!! Wisnu’s work on “Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series” is accepted to IEEE Transactions on Cybernetics.
Congratulations!!! Jeeseok’s paper on “A Plug-in Method for Representation Factorization in Connectionist Models” is accepted to IEEE-TNNLS.
Congratulations, Wonjun’s paper is accepted for publication in IEEE Transactions on Industrial Informatics (JCR-IF: 9.112).
Congratulations!!! Eunji’s paper, “Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction,” is accepted for publication in IEEE-TNNLS.
