Cheol E. Han

According to our database, Cheol E. Han authored at least 13 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Deep Learning Model of Amyloid-${\boldsymbol{\beta }}$ Diffusion Simulation.

ByeongChang Jeong, Daegyeom Kim, Hyun-Ghang Jeong, Cheol E. Han

Proceedings of the International Conference on Electronics, Information, and Communication, 2024

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., January, 2023

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

Proceedings of the International Joint Conference on Neural Networks, 2023

2020

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, Frances Hutchings, Marcus Kaiser

Neurocomputing, 2020

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

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Deep learning based decomposition of brain networks.

Pilsub Lee, Myungwon Choi, Daegyeom Kim, Suji Lee, Hyun-Ghang Jeong, Cheol E. Han

Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2019

2015

Predicting Surgery Targets in Temporal Lobe Epilepsy through Structural Connectome Based Simulations.

Frances Hutchings, Cheol E. Han, Simon S. Keller, Bernd Weber, Peter Neal Taylor, Marcus Kaiser

PLoS Comput. Biol., 2015

2014

Predicting age across human lifespan based on structural connectivity from diffusion tensor imaging.

Cheol E. Han, Luis R. Peraza, John-Paul Taylor, Marcus Kaiser

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

2012

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

2011

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

2010

The role of chaotic resonance in cerebellar learning.

Isao T. Tokuda, Cheol E. Han, Kazuyuki Aihara, Mitsuo Kawato, Nicolas Schweighofer

Neural Networks, 2010

2008

Stroke Rehabilitation Reaches a Threshold.

Cheol E. Han, Michael A. Arbib, Nicolas Schweighofer

PLoS Comput. Biol., 2008

2006

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