Cheol E. Han, Ph.D.
Affiliations: | 2016- | Electronics and Information Engineering | Korea University at Sejong |
Area:
motor control, computational neuroscience, rehabilitation, network science, MRI, connectomeWebsite:
http://cheolhan.dothome.co.krGoogle:
"Cheol E Han"Mean distance: 14.88 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Michael A. Arbib | grad student | 2004-2009 | USC | |
| (PhD, Thesis title: Modeling human reaching and grasping: Cortex, rehabilitation and lateralization.) | ||||
| Nicolas Schweighofer | grad student | 2004-2009 | USC | |
| (PhD) | ||||
| Marcus Kaiser | post-doc | 2010-2012 | Seoul National University | |
| Joon-Kyung Seong | research scientist | 2013-2015 | Korea University, Seoul | |
| (Research Professor) | ||||
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Publications
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| Kim S, Han CE, Kim B, et al. (2021) Effort, success, and side of lesion determine arm choice in chronic stroke survivors with mild-to-moderate impairment. Journal of Neurophysiology |
| Lee S, Kim D, Youn H, et al. (2021) Brain network analysis reveals that amyloidopathy affects comorbid cognitive dysfunction in older adults with depression. Scientific Reports. 11: 4299 |
| Giannakakis E, Han CE, Weber B, et al. (2020) Towards simulations of long-term behavior of neural networks: Modeling synaptic plasticity of connections within and between human brain regions. Neurocomputing. 416: 38-44 |
| Giannakakis E, Hutchings F, Papasavvas CA, et al. (2020) Computational modelling of the long-term effects of brain stimulation on the local and global structural connectivity of epileptic patients. Plos One. 15: e0221380 |
| Choi M, Youn H, Kim D, et al. (2019) Comparison of neurodegenerative types using different brain MRI analysis metrics in older adults with normal cognition, mild cognitive impairment, and Alzheimer's dementia. Plos One. 14: e0220739 |
| Kim D, Lee S, Choi M, et al. (2019) Diffusion tensor imaging reveals abnormal brain networks in elderly subjects with subjective cognitive deficits. Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology |
| Lee P, Choi M, Kim D, et al. (2019) Comparison Between Brain Sub-Networks Decomposed by Auto Encoder and Graph Auto Encoder with Non-Negative Weight Constraint and Sparse Encoding Journal of the Institute of Electronics and Information Engineers. 56: 99-108 |
| Youn H, Lee J, Choi MW, et al. (2019) P4-275: Comparison Of Neurodegenerative Types Using Four Brain Mri Analysis Methods In The Different Stages Of Alzheimer'S Disease-Related Cognitive Decline Alzheimers & Dementia. 15 |
| Lee P, Choi M, Kim D, et al. (2019) Comparison between brain sub-networks decomposed by auto encoder (AE) and graph auto encoder (GAE) with non-negative weight constraints and sparse encoding Ibro Reports. 6: S179 |
| Kim D, Lee J, Choi M, et al. (2019) Discriminating coupling between structural connectivity and functional connectivity in the brain networks of juvenile myoclonic epilepsy Ibro Reports. 6: S108 |