ScholarWorks@Korea University: Seong, Jun Kyung

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Seong, Jun Kyung (성준경)

Graduate School (Department of Artificial Intelligence)

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Tel 02-3290-5660
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Alzheimer's disease:17||tau:6||cortical thickness:5||positron emission tomography:5||amyloid:5||Cortical thickness:4||Hippocampus:4||mild cognitive impairment:4||Mild cognitive impairment:3||diffusion tensor imaging:3||Parkinson's disease:3||thalamus:3||Classification:2||Electrocardiogram:2||Tractspecific statistical analysis:2||white matter connectivity:2||MRI:2||basal ganglia:2||magnetic resonance imaging:2||Alzheimer disease:2||Pittsburgh compound B:2||Cognition:2||deep learning:2||Amyloid:2||Drug resistance:2||THK:2||Tau:2||Atrophy:2||Frontotemporal dementia:2||LCSPT circuits:1||white matter:1||cognitive function:1||cerebrospinal fluid:1||Nomogram:1||Classification model:1||Amyloid staging:1||Alzheimer's dementia:1||Thal staging:1||stress monitoring:1||Graph theory:1||ASSOCIATION:1||Shape analysis:1||cognitive impairment:1||PiBPET:1||Diffuse optical tomography:1||Hemodynamic response:1||Basal ganglia:1||cluster analysis:1||PET classifier:1||DTI:1||Laplacian regularization:1||REM sleep behavior disorder:1||richclub organization:1||Aposomes:1||Cancer immunotherapy:1||suicidality:1||Prodrug:1||tractography:1||Age of symptom onset:1||diffusion:1||Amyloid PET:1||Sparse Group Lasso:1||cumulative stress:1||T1 MR imaging:1||neuropsychological correlation:1||sulcal curve:1||Alzheimer's disease Neurological disorders:1||Cerebrovascular disease:1||dementia with Alzheimer's disease:1||Mobile health units:1||putamen:1||subcortical structure:1||A beta positivity:1||brain connectivity:1||lowresolution magnetic resonance imaging:1||network analysis:1||PEGylated liposome:1||Convolutional neural network:1||Datadriven approach:1||stress:1||Synergetic effect:1||s disease:1||Frontal lobe:1||obstructive sleep apnea:1||Longitudinal changes:1||Cortical atrophy pattern:1||multiple sclerosis:1||Structural network:1||OLDERADULTS:1||MCI converter:1||Chronic insomnia:1||network entropy:1||An ExampleBased MultiAtlas Approach to Automatic Labeling of White Matter Tracts:1||spherical harmonics:1||surface registration:1||Artificial intelligence:1||Globus pallidus:1||Caudate nucleus:1||earlyonset AD:1||mediation:1||PET:1||connected component:1||Immune checkpoint blockade:1||Ventilatory threshold:1||Deep latent representation:1||Selfsupervised learning:1||major depressive disorder:1||subcortical shape analysis:1||ischemia:1||neural network:1||Conversion to dementia:1||neuromyelitis optica spectrum disorder:1||support vector machinerecursive feature elimination:1||CORTEX:1||Neurofibrillary tangles:1||Positron emission tomography:1||Wscore standardization:1||Heart rate variability:1||Serum corticosterone:1||Diffusiontensor imaging:1||Vascular dementia:1||longitudinal study:1||Delivery of health care:1||caudate nucleus:1||small vessel disease:1||linear mixed effect model:1||APOE:1||Immunogenic cell death:1||Tau positron emission tomography:1||Alzheimer&#8217:1||Narcolepsy:1||White matter:1||neurofibrillary tangles:1||Classifier:1||Machine learning:1||cognitive dysfunction:1||graph theory:1||regression analysis:1||heart rate variability:1||Late life depression:1||NETWORKS:1||Stress:1||multiple system atrophy:1||APOE4 allele:1||Functional brain connectivity:1||Mouse:1||Onset age:1||Putamen:1||amyloidbeta:1||multicohort validation:1||Tractography:1||structural brain network:1||Realworld classification:1||Explainable AI:1||Long shortterm memory:1||Longitudinal dataset:1||Heterogeneity:1||Longitudinal trajectory:1||Amyloidbeta:1||Nonfluent/agrammatic variant of primary progressive aphasia:1||neurologist:1||beta amyloid peptide:1||cortical lobe:1||Correlation analysis:1||BEHAVIOR:1||OPTIMIZATION:1||Image compatibility:1||surface based morphometry:1||hippocampal deformities:1||lateonset AD:1||microstructural connectivity:1||lacune:1||clinical application:1||multicenter data harmonization:1||Neuroimaging:1||earlyonset Alzheimer's disease:1||Preclinical Alzheimer's disease:1||Subcortical vascular cognitive impairment:1||Multimodal biomarkers:1||white matter network:1||aging:1||Gaussian process:1||HUMAN BRAIN:1||SYMPTOMS:1||network architecture:1||structural covariance network (SCN):1||subcortical vascular cognitive impairment:1||groupwise registration:1||cortical surface:1||entropy minimization:1||shape:1||Alzheimer's Disease:1||Subcortical structure:1||cognition:1||Kendall's rank correlation:1||connectivitybased biomarker:1||biomarker scores:1||structural magnetic resonance imaging:1||Deep generative models:1||local shape volume:1||Cancer nanomedicine:1||Brain reserve hypothesis:1||cerebral infarction:1||ROI:1||electrocardiogram:1||diffusion tractography:1||subcortical vascular dementia:1||STRUCTURAL CONNECTIVITY:1||RISK:1||subcortical volume:1||Cognitive function:1||individual SCN:1||tractspecific statistical analysis:1||Path analysis:1||globus pallidus:1||Early onset:1||Longitudinal study:1||Amygdala:1||Thalamus:1||white matter hyperintensities:1||Concordance:1||Harmonisation:1||connectome:1||reliability:1||sex differences:1||Individuated tau spreading model:1||Network reaction–diffusion system:1||

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