Cheol E. Han

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 7

Top Topics

Brain White Matter

Diffusion Tensor Imaging

Top Venues

Adv. Intell. Syst.

Publications

ByeongChang Jeong, Daegyeom Kim, Hyun-Ghang Jeong, Cheol E. Han
A Deep Learning Model of Amyloid-${\boldsymbol{\beta }}$ Diffusion Simulation. ICEIC (2024)
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
Automatic Prediction of Metal-Oxide-Semiconductor Field-Effect Transistor Threshold Voltage Using Machine Learning Algorithm. Adv. Intell. Syst. 5 (1) (2023)
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
Automatic Prediction of Metal-Oxide-Semiconductor Field-Effect Transistor Threshold Voltage Using Machine Learning Algorithm. Adv. Intell. Syst. 5 (1) (2023)
Youjin Seo, ByeongChang Jeong, Yeji Yoon, Daegyeom Kim, JuHong Min, Cheol E. Han
3D Super Resolution for Non-Isotropic Medical Image Through Multi-Input 3D ResUnet. IJCNN (2023)
Emmanouil Giannakakis, Cheol E. Han, Bernd Weber, Frances Hutchings, Marcus Kaiser
Towards simulations of long-term behavior of neural networks: Modeling synaptic plasticity of connections within and between human brain regions. Neurocomputing 416 (2020)
Pilsub Lee, Myungwon Choi, Daegyeom Kim, Suji Lee, Hyun-Ghang Jeong, Cheol E. Han
Deep learning based decomposition of brain networks. ICAIIC (2019)
Myungwon Choi, Pilsub Lee, Daegyeom Kim, Suji Lee, HyunChul Youn, Hyun-Ghang Jeong, Cheol E. Han
Brain Network Decomposition by Auto Encoder (AE) and Graph Auto Encoder (GAE). ICONIP (1) (2019)
Frances Hutchings, Cheol E. Han, Simon S. Keller, Bernd Weber, Peter Neal Taylor, Marcus Kaiser
Predicting Surgery Targets in Temporal Lobe Epilepsy through Structural Connectome Based Simulations. PLoS Comput. Biol. 11 (12) (2015)
Cheol E. Han, Luis R. Peraza, John-Paul Taylor, Marcus Kaiser
Predicting age across human lifespan based on structural connectivity from diffusion tensor imaging. BioCAS (2014)
Yukikazu Hidaka, Cheol E. Han, Steven L. Wolf, Carolee J. Winstein, Nicolas Schweighofer
Use It and Improve It or Lose It: Interactions between Arm Function and Use in Humans Post-stroke. PLoS Comput. Biol. 8 (2) (2012)
Christoph Echtermeyer, Cheol E. Han, Anna Rotarska-Jagiela, Harald Mohr, Peter Uhlhaas, Marcus Kaiser
Integrating Temporal and Spatial Scales: Human Structural Network Motifs Across Age and Region of Interest Size. Frontiers Neuroinformatics 5 (2011)
Isao T. Tokuda, Cheol E. Han, Kazuyuki Aihara, Mitsuo Kawato, Nicolas Schweighofer
The role of chaotic resonance in cerebellar learning. Neural Networks 23 (7) (2010)
Cheol E. Han, Michael A. Arbib, Nicolas Schweighofer
Stroke Rehabilitation Reaches a Threshold. PLoS Comput. Biol. 4 (8) (2008)
Nicolas Schweighofer, K. Shishida, Cheol E. Han, Yasumasa Okamoto, Saori C. Tanaka, Shigeto Yamawaki, Kenji Doya
Humans Can Adopt Optimal Discounting Strategy under Real-Time Constraints. PLoS Comput. Biol. 2 (11) (2006)