Grace Yoojin Lee

ORCID: 0009-0007-5600-0834
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About
Contact & Profiles
Research Areas
  • Acute Ischemic Stroke Management
  • Brain Tumor Detection and Classification
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Transcranial Magnetic Stimulation Studies
  • Body Image and Dysmorphia Studies
  • Medical Imaging and Analysis
  • Cerebrovascular and Carotid Artery Diseases
  • Syphilis Diagnosis and Treatment
  • Muscle Physiology and Disorders
  • Prosthetics and Rehabilitation Robotics
  • Reproductive tract infections research
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced MRI Techniques and Applications
  • Cardiac Imaging and Diagnostics
  • AI in cancer detection
  • Artificial Intelligence in Healthcare and Education

University of Ulsan
2023-2025

Ulsan College
2023-2025

Asan Medical Center
2023-2025

Gangnam Severance Hospital
2020

Yonsei University
2020

Ischemic stroke segmentation at an acute stage is vital in assessing the severity of patients' impairment and guiding therapeutic decision-making for reperfusion. Although many deep learning studies have shown attractive performance medical segmentation, it difficult to use these models trained on public data with private hospitals' datasets. Here, we demonstrate ensemble model that employs two different multimodal approaches generalization, a more effective way perform external First, after...

10.1007/s10278-024-01099-6 article EN Deleted Journal 2024-05-01

Although the relationships between basic clinical parameters and white matter hyperintensity (WMH) have been studied, associations vascular factors WMH volume in general populations remain unclear. We investigated including comprehensive two large populations. This retrospective, cross-sectional study involved populations: individuals who underwent health examinations at Asan Medical Center (AMC) participants from a regional cohort, Korean Genome Epidemiology Study (KoGES). was quantified...

10.1007/s10278-024-01372-8 article EN Deleted Journal 2025-01-06

To train and validate a deep learning (DL)-based segmentation model for cerebral microbleeds (CMB) on susceptibility-weighted MRI; to find associations between CMB, cognitive impairment, vascular risk factors.

10.3174/ajnr.a8552 article EN American Journal of Neuroradiology 2024-10-23

Duchenne muscular dystrophy (DMD) is a progressive form of caused by mutations in the dystrophin gene. Patients with DMD are more likely to have cerebral infarction than normal populations, possibly due low ejection fraction and cardiomyopathy, also higher epilepsy prevalence. Careful history taking neurological examination needed for differentiating new symptoms from preexisting weakness DMD. Here, we present young male acute ischemic stroke followed recurrent seizures. Keywords: Muscular...

10.46518/kjnmd.2020.12.1.5 article EN Korean Journal of Neuromuscular Disorders 2020-06-30

10.17340/jkna.2020.4.14 article EN Journal of the Korean Neurological Association 2020-11-01
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