ScholarWorks@Gachon: Baek, Hyeon Man

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Baek, Hyeon Man (백현만)

College of Medicine (Premedical Course)

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MRI:5||Tractography:4||확산 텐서 영상:3||3T:3||s disease:3||7T:2||Perovskite:2||Diffusion tractography:2||Atlas:2||stroke:2||Dielectric shimming:2||basal ganglia:2||DTI:2||자기공명영상:2||Diffusion MRI:2||Parkinson&apos:2||vertex analysis:2||커넥톰:2||Magnetic Resonance Imaging:2||Segmentation:2||Parkinson’s disease:2||Metabolomics:2||Fatty liver model:1||Glioma:1||Globus pallidus:1||Glutamate:1||Gray matter:1||H1 MRS:1||High signal intensity:1||High tissue contrast:1||Highdielectric pad:1||In vivo proton magnetic resonance spectroscopy:1||Inhomogeneity:1||LCModel:1||Liver lipid content:1||MR spectrum:1||MRS:1||Magnetic susceptibility:1||Male patients with alcoholdependence:1||Mouse:1||NEX:1||Neurological disorder:1||Nuclear magnetic resonance:1||Obese:1||P31 MRS:1||Parkinsons disease:1||Phase unwrapping:1||Postcentral gyrus:1||Probabilistic analysis:1||Probabilistic tractography:1||Proton magnetic resonance spectroscopy (1HMRS):1||Quantitative anisotropy (QA):1||Quantitative susceptibility mapping:1||Rat brain:1||Restingstate functional connectivity:1||SNR:1||Salvia miltiorrhiza:1||Short TE:1||Signaltonoise ratio:1||Sim4Life:1||Social defeat stress:1||Structural Connectivity:1||Subcortical structures:1||Subthalamic nucleus:1||Surface alteration:1||Susceptibility:1||Thalamus:1||Trigeminal neuralgia:1||Ultrahigh field MRI:1||Ultrahigh magnetic field:1||Vertex analysis:1||Whole brain:1||alcohol dependence:1||alcoholism:1||amyloid plaques:1||basis set:1||brain age estimation:1||brain age prediction:1||brain injury:1||cognitive impairment:1||computed tomography:1||convolutional autoencoder:1||deep learning:1||denoising:1||diffusion MRI:1||gender classification:1||globus pallidus:1||high magnetic field (9.4T):1||highresolution MRI:1||inflammation:1||machine learning:1||magnetic resonance guided radiotherapy:1||magnetic resonance image:1||magnetic resonance imaging:1||male patients with alcohol dependence:1||metabolic investigation:1||metabolite:1||metabolite quantification:1||morphologic investigation:1||mouse brain:1||obesity:1||parameterized quantum circuit:1||probabilistic tractography:1||proton and phosphorus MRS:1||quantification:1||quantum machine learning:1||quantum neural network:1||radiation dose calculation:1||restingstate functional connectivity:1||sex classification:1||single voxel:1||structural magnetic resonance imaging:1||subcortical:1||tissue equivalent:1||transient middle cerebral artery occlusion:1||variational quantum circuit:1||volumetric MR imaging analysis:1||white matter:1||간 지방산 성분:1||결정론적 분석:1||1HMRS:1||노화:1||뇌지도:1||분할:1||비 알코올성 지방간 모델:1||시상:1||신경 질환:1||신경섬유지도:1||신호 대 잡음비:1||아틀라스:1||양성자 자기공명분광법:1||유전체 시밍:1||자기공명영상촬영:1||짧은 에코시간:1||초고자장:1||트랙토그래피:1||페로브스카이트:1||확률론적 분석:1||구조적 연결성:1||2Hydroxyglutarate:1||3Tesla:1||7 Tesla MRI:1||7T MRI System:1||Aging:1||Alcoholism:1||Alzheimer&apos:1||B1 field:1||Basal Ganglia:1||Basal ganglia:1||Basil ganglia:1||Brain cortical thickness:1||Brain metabolism and microenvironment:1||Connectome:1||Depression:1||Deterministic Analysis:1||Diffusion Tensor Imaging:1||Diffusion tensor image:1||Diffusion tensor imaging:1||FIRST:1||FSL:1||

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1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114

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