Cheol E. Han

15 papers B 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep learning-based denoising for unbiased analysis of morphology and stiffness in amyloid fibrils.
Comput. Biol. Medicine
Jaehee Park, Da Yeon Cheong, Gyudo Lee, Cheol E. Han
2024 — conf
A Deep Learning Model of Amyloid-${\boldsymbol{\beta }}$ Diffusion Simulation.
ICEIC
ByeongChang Jeong, Daegyeom Kim, Hyun-Ghang Jeong, Cheol E. Han
2023 B conf
3D Super Resolution for Non-Isotropic Medical Image Through Multi-Input 3D ResUnet.
IJCNN
Youjin Seo, ByeongChang Jeong, Yeji Yoon, Daegyeom Kim, Juhong Min, Cheol E. Han
2023 J jnl
Automatic Prediction of Metal-Oxide-Semiconductor Field-Effect Transistor Threshold Voltage Using Machine Learning Algorithm.
Adv. Intell. Syst.
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
2023 J jnl
Automatic Prediction of Metal-Oxide-Semiconductor Field-Effect Transistor Threshold Voltage Using Machine Learning Algorithm.
Adv. Intell. Syst.
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
2020 J jnl
Towards simulations of long-term behavior of neural networks: Modeling synaptic plasticity of connections within and between human brain regions.
Neurocomputing
Emmanouil Giannakakis, Cheol E. Han, Bernd Weber, Frances Hutchings, Marcus Kaiser
2019 — conf
Brain Network Decomposition by Auto Encoder (AE) and Graph Auto Encoder (GAE).
ICONIP (1)
Myungwon Choi, Pilsub Lee, Daegyeom Kim, Suji Lee, HyunChul Youn, Hyun-Ghang Jeong, Cheol E. Han
2019 — conf
Deep learning based decomposition of brain networks.
ICAIIC
Pilsub Lee, Myungwon Choi, Daegyeom Kim, Suji Lee, Hyun-Ghang Jeong, Cheol E. Han
2015 J jnl
Predicting Surgery Targets in Temporal Lobe Epilepsy through Structural Connectome Based Simulations.
PLoS Comput. Biol.
Frances Hutchings, Cheol E. Han, Simon S. Keller, Bernd Weber, Peter Neal Taylor, Marcus Kaiser
2014 — conf
Predicting age across human lifespan based on structural connectivity from diffusion tensor imaging.
BioCAS
Cheol E. Han, Luis R. Peraza, John-Paul Taylor, Marcus Kaiser
2012 J jnl
Use It and Improve It or Lose It: Interactions between Arm Function and Use in Humans Post-stroke.
PLoS Comput. Biol.
Yukikazu Hidaka, Cheol E. Han, Steven L. Wolf, Carolee J. Winstein, Nicolas Schweighofer
2011 J jnl
Integrating Temporal and Spatial Scales: Human Structural Network Motifs Across Age and Region of Interest Size.
Frontiers Neuroinformatics
Christoph Echtermeyer, Cheol E. Han, Anna Rotarska-Jagiela, Harald Mohr, Peter Uhlhaas, Marcus Kaiser
2010 J jnl
The role of chaotic resonance in cerebellar learning.
Neural Networks
Isao T. Tokuda, Cheol E. Han, Kazuyuki Aihara, Mitsuo Kawato, Nicolas Schweighofer
2008 J jnl
Stroke Rehabilitation Reaches a Threshold.
PLoS Comput. Biol.
Cheol E. Han, Michael A. Arbib, Nicolas Schweighofer
2006 J jnl
Humans Can Adopt Optimal Discounting Strategy under Real-Time Constraints.
PLoS Comput. Biol.
Nicolas Schweighofer, K. Shishida, Cheol E. Han, Yasumasa Okamoto, Saori C. Tanaka, Shigeto Yamawaki, Kenji Doya