Jun Kim

ORCID: 0009-0005-8440-257X
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About
Contact & Profiles
Research Areas
  • Acute Ischemic Stroke Management
  • Traumatic Brain Injury Research
  • Stroke Rehabilitation and Recovery
  • Advanced Neuroimaging Techniques and Applications
  • Retinal Diseases and Treatments
  • Signaling Pathways in Disease
  • Health, Environment, Cognitive Aging
  • Antioxidant Activity and Oxidative Stress
  • Parallel Computing and Optimization Techniques
  • Advanced Neural Network Applications
  • Cloud Computing and Remote Desktop Technologies
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Brain Tumor Detection and Classification
  • Neuropeptides and Animal Physiology
  • Cloud Computing and Resource Management
  • Phytochemistry and Biological Activities
  • Peptidase Inhibition and Analysis

University of Southern California
2020-2023

Imaging Center
2023

Kyung Hee University
2019

Sungkyunkwan University
2015

University of San Francisco
1992

Abstract Accurate lesion segmentation is critical in stroke rehabilitation research for the quantification of burden and accurate image processing. Current automated methods T1-weighted (T1w) MRIs, commonly used research, lack accuracy reliability. Manual remains gold standard, but it time-consuming, subjective, requires neuroanatomical expertise. We previously released an open-source dataset T1w MRIs manually-segmented masks (ATLAS v1.2, N = 304) to encourage development better algorithms....

10.1038/s41597-022-01401-7 article EN cc-by Scientific Data 2022-06-16

Functional outcomes after stroke are strongly related to focal injury measures. However, the role of global brain health is less clear. In this study, we examined impact age, a measure neurobiological aging derived from whole-brain structural neuroimaging, on poststroke outcomes, with focus sensorimotor performance. We hypothesized that more lesion damage would result in older which turn be associated poorer outcomes. Related, expected age mediate relationship between and Finally,...

10.1212/wnl.0000000000207219 article EN Neurology 2023-04-04

Fast startup of a subsystem, such as an image is important in mobile smart devices because the time directly related to responsiveness applications, camera. This paper proposes CPU switch method that offloads long initialization phase from subsystem fast main application processor. By providing consistent execution environment CPU, software can be easily ported without significant engineering costs. The evaluation results show proposed scheme greatly reduces by up 78% <sup...

10.1109/tce.2015.7064117 article EN IEEE Transactions on Consumer Electronics 2015-02-01

Abstract Estimating biological brain age (BA) has the potential of identifying individuals at relatively high risk for accelerated neurodegeneration. This study compares brain’s chronological (CA) to its BA and reveals rate change after mild traumatic injury (mTBI) in an aging cohort. Using T1-weighted magnetic resonance imaging (MRI) volumes cortical thickness, volume, surface area, Gaussian curvature obtained using FreeSurfer software; we formulated a multivariate linear regression...

10.1093/geroni/igaa057.3282 article EN cc-by Innovation in Aging 2020-12-01

Abstract Sensorimotor performance after stroke is strongly related to focal injury measures such as corticospinal tract lesion load. However, the role of global brain health less clear. Here, we examined impact age, a measure neurobiological aging derived from whole structural neuroimaging, on sensorimotor outcomes. We hypothesized that damage would result in older which turn be associated with poorer also expected age mediate outcomes and these relationships driven by post-stroke secondary...

10.1101/2022.04.27.489791 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-04-29
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