Humans Can Adopt Optimal Discounting Strategy under Real-Time Constraints. - Nicolas Schweighofer; K. Shishida; Cheol E. Han; Yasumasa Okamoto; Saori C. Tanaka; Shigeto Yamawaki; Kenji Doya (PLoS Comput. Biol., 2006)

Stroke Rehabilitation Reaches a Threshold. - Cheol E. Han; Michael A. Arbib; Nicolas Schweighofer (PLoS Comput. Biol., 2008)

The role of chaotic resonance in cerebellar learning. - Isao T. Tokuda; Cheol E. Han; Kazuyuki Aihara; Mitsuo Kawato; Nicolas Schweighofer (Neural Networks, 2010)

Integrating Temporal and Spatial Scales: Human Structural Network Motifs Across Age and Region of Interest Size. - Christoph Echtermeyer; Cheol E. Han; Anna Rotarska-Jagiela; Harald Mohr; Peter Uhlhaas; Marcus Kaiser (Frontiers Neuroinformatics, 2011)

Use It and Improve It or Lose It: Interactions between Arm Function and Use in Humans Post-stroke. - Yukikazu Hidaka; Cheol E. Han; Steven L. Wolf; Carolee J. Winstein; Nicolas Schweighofer (PLoS Comput. Biol., 2012)

Predicting age across human lifespan based on structural connectivity from diffusion tensor imaging. - Cheol E. Han; Luis R. Peraza; John-Paul Taylor; Marcus Kaiser (BioCAS, 2014)

Predicting Surgery Targets in Temporal Lobe Epilepsy through Structural Connectome Based Simulations. - Frances Hutchings; Cheol E. Han; Simon S. Keller; Bernd Weber 001; Peter Neal Taylor; Marcus Kaiser (PLoS Comput. Biol., 2015)

Deep learning based decomposition of brain networks. - Pilsub Lee; Myungwon Choi; Daegyeom Kim; Suji Lee; Hyun-Ghang Jeong; Cheol E. Han (ICAIIC, 2019)

Brain Network Decomposition by Auto Encoder (AE) and Graph Auto Encoder (GAE). - Myungwon Choi; Pilsub Lee; Daegyeom Kim; Suji Lee; HyunChul Youn; Hyun-Ghang Jeong; Cheol E. Han (ICONIP (1), 2019)

Towards simulations of long-term behavior of neural networks: Modeling synaptic plasticity of connections within and between human brain regions. - Emmanouil Giannakakis; Cheol E. Han; Bernd Weber 001; Frances Hutchings; Marcus Kaiser (Neurocomputing, 2020)

3D Super Resolution for Non-Isotropic Medical Image Through Multi-Input 3D ResUnet. - Youjin Seo; ByeongChang Jeong; Yeji Yoon; Daegyeom Kim; JuHong Min; Cheol E. Han (IJCNN, 2023)

Automatic Prediction of Metal-Oxide-Semiconductor Field-Effect Transistor Threshold Voltage Using Machine Learning Algorithm. - Seoyeon Choi; Dong Geun Park; Min Jung Kim; Seain Bang; Jungchun Kim; Seunghee Jin; Ki Seok Huh; Donghyun Kim; Jérôme Mitard; Cheol E. Han; Jae Woo Lee (Adv. Intell. Syst., 2023)

A Deep Learning Model of Amyloid-${ boldsymbol{ beta }}$ Diffusion Simulation. - ByeongChang Jeong; Daegyeom Kim; Hyun-Ghang Jeong; Cheol E. Han (ICEIC, 2024)

Deep learning-based denoising for unbiased analysis of morphology and stiffness in amyloid fibrils. - Jaehee Park; Da Yeon Cheong; Gyudo Lee; Cheol E. Han (Comput. Biol. Medicine, 2025)