Cheol E. Han

发表

Brain Network Decomposition by Auto Encoder (AE) and Graph Auto Encoder (GAE)

Myungwon Choi, Pilsub Lee, Daegyeom Kim, 2019, ICONIP.

Simulation results and lambda value data for structural connectome based simulations of temporal lobe epilepsy surgery.

Marcus Kaiser, Peter Neal Taylor, Cheol E. Han, 2015 .

Integrating Temporal and Spatial Scales: Human Structural Network Motifs Across Age and Region of Interest Size

Marcus Kaiser, Christoph Echtermeyer, Cheol E. Han, 2011, Front. Neuroinform..

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

Marcus Kaiser, Cheol E. Han, Luis R. Peraza, 2014, 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings.

Comparison Between Brain Sub-Networks Decomposed by Auto Encoder and Graph Auto Encoder with Non-Negative Weight Constraint and Sparse Encoding

Myungwon Choi, Pilsub Lee, Daegyeom Kim, 2019 .

Comparison between brain sub-networks decomposed by auto encoder (AE) and graph auto encoder (GAE) with non-negative weight constraints and sparse encoding

Myungwon Choi, Pilsub Lee, Daegyeom Kim, 2019 .

The role of chaotic resonance in cerebellar learning

Kazuyuki Aihara, Mitsuo Kawato, Nicolas Schweighofer, 2010, Neural Networks.

Stroke Rehabilitation Reaches a Threshold

Michael A. Arbib, Nicolas Schweighofer, Cheol E. Han, 2008, PLoS Comput. Biol..

Deep learning based decomposition of brain networks

Pilsub Lee, Daegyeom Kim, Suji Lee, 2019, 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC).

Towards simulations of long-term behavior of neural networks: Modeling synaptic plasticity of connections within and between human brain regions

Marcus Kaiser, Bernd Weber, Cheol E. Han, 2020, Neurocomputing.

Humans Can Adopt Optimal Discounting Strategy under Real-Time Constraints

Kenji Doya, Nicolas Schweighofer, Yasumasa Okamoto, 2006, PLoS Comput. Biol..

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

Marcus Kaiser, Bernd Weber, Peter Neal Taylor, 2015, PLoS Comput. Biol..

Use It and Improve It or Lose It: Interactions between Arm Function and Use in Humans Post-stroke

Nicolas Schweighofer, Steven L. Wolf, Cheol E. Han, 2012, PLoS Comput. Biol..

A geometric network model of intrinsic grey-matter connectivity of the human brain

Marcus Kaiser, Cheol E. Han, Yi-Ping Lo, 2015, Scientific Reports.

Adolescent Brain Maturation and Cortical Folding: Evidence for Reductions in Gyrification

Marcus Kaiser, Wolf Singer, Cheol E. Han, 2014, PloS one.

Robust Identification of Alzheimer’s Disease subtypes based on cortical atrophy patterns

Norbert Schuff, Robert C. Green, Andrew J. Saykin, 2017 .

A Network Flow-based Analysis of Cognitive Reserve in Normal Ageing and Alzheimer’s Disease

Marcus Kaiser, Yong Jeong, Duk L. Na, 2015, Scientific Reports.

Corrigendum: A Network Flow-based Analysis of Cognitive Reserve in Normal Ageing and Alzheimer’s Disease

Sang Won Seo, Marcus Kaiser, Yong Jeong, 2015, Scientific Reports.

and Charalambos Training Improvement in Motor Performance During Mental Motor Learning Without Doing : Trial-by-Trial

Nicolas Schweighofer, Cheol E. Han, Charalambos Papaxanthis, 2010 .

This Work Is Licensed under a Creative Commons Attribution 4.0 International License Structural Connectivity Changes in Temporal Lobe Epilepsy: Spatial Features Contribute More than Topological Measures

Marcus Kaiser, Bernd Weber, Cheol E. Han, 2022 .