Functional Connectivity Analysis with Voxel-Based Morphometry for Diagnosis of Mild Cognitive Impairment. - JungHoe Kim; Jong-Hwan Lee (ICONIP (1), 2011)

Integration of Structural and Functional MRI Features Improves Mild Cognitive Impairment (MCI) Detection. - JungHoe Kim; Yong-Hwan Kim; Soo-Hyun Ha; Hyuk-soo Shin; Jong-Hwan Lee (PRNI, 2011)

Automated Classification of Discrete Human Thoughts Using Functional Magnetic Resonance Imaging (fMRI): Comparison between Voxel-Based and Atlas-Based Feature Selection Methods. - Jong-Hwan Lee; JungHoe Kim (PRNI, 2011)

Iterative approach of dual regression with a sparse prior enhances the performance of independent component analysis for group functional magnetic resonance imaging (fMRI) data. - Yong-Hwan Kim; JungHoe Kim; Jong-Hwan Lee (NeuroImage, 2012)

Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia. - JungHoe Kim; Vince D. Calhoun; Eunsoo Shim; Jong-Hwan Lee (NeuroImage, 2016)