• 672 Citations
  • 12 h-Index
20072020
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Fingerprint Dive into the research topics where Hyun-Ghang Jeong is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 17 Similar Profiles
Depression Medicine & Life Sciences
Independent Living Medicine & Life Sciences
Alzheimer Disease Medicine & Life Sciences
Cognition Medicine & Life Sciences
Schizophrenia Medicine & Life Sciences
Dementia Medicine & Life Sciences
Depressive Disorder Medicine & Life Sciences
Major Depressive Disorder Medicine & Life Sciences

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Projects 2015 2018

Research Output 2007 2020

  • 672 Citations
  • 12 h-Index
  • 41 Article
  • 1 Conference contribution
  • 1 Letter
  • 1 Review article

Parasympathetic predominance is a risk factor for future depression: A prospective cohort study

An, H., Han, J. W., Jeong, H-G., Kim, T. H., Lee, J. J., Lee, S. B., Park, J. H. & Kim, K. W., 2020 Jan 1, In : Journal of Affective Disorders. 260, p. 232-237 6 p.

Research output: Contribution to journalArticle

Cohort Studies
Heart Rate
Prospective Studies
Regression Analysis
Silver Sulfadiazine

Comparison of neurodegenerative types using different brain MRI analysis metrics in older adults with normal cognition, mild cognitive impairment, and Alzheimer's dementia

Choi, M., Youn, H. C., Kim, D., Lee, S., Suh, S., Seong, J. K., Jeong, H-G. & Han, C. E., 2019 Jan 1, In : PloS one. 14, 8, p. e0220739

Research output: Contribution to journalArticle

Open Access
dementia
Magnetic resonance
Alzheimer disease
magnetic resonance imaging
cognition

Deep learning based decomposition of brain networks

Lee, P., Choi, M., Kim, D., Lee, S., Jeong, H-G. & Han, C. E., 2019 Mar 18, 1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019. Institute of Electrical and Electronics Engineers Inc., p. 349-354 6 p. 8669055. (1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Brain
Decomposition
Deep learning
Magnetic resonance
Deterioration

Diffusion tensor imaging reveals abnormal brain networks in elderly subjects with subjective cognitive deficits

Kim, D., Lee, S., Choi, M., Youn, H. C., Suh, S-I., Jeong, H-G. & Han, C. E., 2019 Jan 1, In : Neurological Sciences.

Research output: Contribution to journalArticle

Diffusion Tensor Imaging
Cognition
Parietal Lobe
Brain
Alzheimer Disease
1 Citation (Scopus)
Open Access
Medication Adherence
Psychiatry
Pharmaceutical Preparations
Self Report
Hospitalization