ScholarWorks@Gachon: Lee, Youngjin

Detailed Information

Lee, Youngjin (이영진)

Health Science (Dept.of Radiology)

Research Area: 의료영상처리, X-선 영상 및 핵의학 영상, 몬테카를로 시뮬레이션, Medical Image Processing, X-ray and Nuclear Medicine Imaging, Monte Carlo simulation

Tel 032-820-4362
Homepage

ResearcherID ORCiD Scopus Google Scholar ID ResearchGate

Keyword

Quantitative evaluation of image quality:25||Noise reduction algorithm:13||quantitative evaluation of image quality:8||Monte Carlo simulation:8||Computed tomography:8||Quantitative evaluation:8||Quantitative evaluation of image performance:8||MRiLab simulation program:7||정량적 평가:7||Image processing:5||Image quality:5||영상 화질의 정량적 평가:5||Median modified Wiener filter (MMWF):5||Digital radiography:5||GATE simulation:4||Magnetic resonance imaging:4||Noise reduction:4||Medical application:4||quantitative evaluation of image performance:3||자기공명영상:3||GATE 시뮬레이션:3||noise reduction:3||전산화단층촬영장치:3||Nuclear medicine:3||Blind image quality evaluation:3||brain T2 weighted image:3||Mammography:3||Magnetic resonance imaging (MRI):3||Denoising algorithm:3||Deep learning:3||Dose modulation:2||Added filter:2||Xray denoising:2||PET/MR:2||PMMA phantom:2||nonlocal means approach:2||PMMA 팬텀:2||Detector exposure index (DEI):2||CTDIw:2||3D printing technology:2||Advanced modeled iterative reconstruction (ADMIRE):2||Image denoising:2||Fast nonlocal means approach:2||Photon counting detector:2||Diffusionweighted imaging (DWI):2||Chest digital tomosynthesis:2||Chest digital tomosynthesis (CDT):2||Evaluation of image performance:2||MASH phantom:2||Pixelated semiconductor detector:2||초음파 영상:2||Systematic review:2||Evaluation of image quality:2||T2weighted image:2||Noise Reduction Algorithm:2||3D 프린터:2||scintillator thickness:2||MR/PET:2||Noise level evaluation:2||Tin filter:2||Noise reduction filter:2||Total variation (TV) noise reduction algorithm:2||Total variation noise reduction algorithm:2||3D printer:2||Gamma camera image:2||Gamma camera imaging:2||image quality assessment:2||image restoration:2||Nonlocal means (NLM) approach:2||Gamma camera system:2||Nonlocal means approach:2||Deep convolutional neural network:2||UNet:2||3D printing:2||노이즈 감소 알고리즘:2||Ultrasound:2||lowdose CT:2||노이즈 제거 알고리즘:2||FNLM noise reduction algorithm:2||Nuclear medicine imaging:2||Geant4 application for tomographic emission (GATE) simulation:2||FNLM 노이즈 제거 알고리즘:2||Median Modified Wiener Filter:2||부가필터:2||Median modified Wiener filter:2||muscle:2||myotonometer:2||High pitch:2||Dualenergy computed tomography:1||Dualenergy computed tomography (DECT):1||Dualenergy digital radiography (DEDR):1||Dualenergy imaging method:1||Echo time:1||Echocardiography · Nearfeld clutter · Artifact reduction algorithm modeling · Wavelet thresholding · 3D printing technique:1||Effective dose:1||Energy subtraction:1||Estrogen:1||Evaluation of image quality and dose:1||Evaluation of noise performance:1||Experimental study:1||F18FDG PET:1||FNLM (Fast non localmeans):1||FNLM Algorithm:1||FNLM 알고리즘:1||Fast magnetic resonance imaging (MRI):1||Fast non local mean (FNLM) algorithm:1||Fast non local means (FNLM) filter:1||Fast nonlocal means:1||Fast nonlocal means (FNLM):1||Fast nonlocal means (FNLM) algorithm:1||Fast nonlocal means (FNLM) algorithm opti:1||Fast nonlocal means algorithm:1||Fast nonlocal means (FNLM) approach:1||Field II program:1||FieldⅡ simulation program:1||FieldⅡ 시뮬레이션 프로그램:1||Filtered back projection (FBP):1||Filtering factor:1||GATE:1||Gamma camera:1||Gamma camera scintigraphy:1||Gamma and Xray fusion image:1||Gammaray imaging:1||Gaussian:1||Generalized autocalibrating partially parallel acquisition (GRAPPA):1||Gradient echo:1||Highenergy industrial Xray imaging system:1||Highenergy industrial Xray system:1||Highenergy industrial computedtomography imaging system:1||Hoffman 3D brain phantom:1||Hybrid scanner:1||Hydrogen peroxide:1||Image characteristic:1||Image characteristics and dose evaluation:1||Image filtering:1||Image noise reduction:1||Image performance evaluation:1||Image quality evaluation:1||Image quality evaluations:1||Image quality improvement:1||Image restoration algorithm:1||Image restoration incorporating with blind:1||Image segmentation:1||Imagequality evaluation:1||Imgae reconstruction algorithm:1||Improved hybrid median filter:1||Improved median filter:1||Improved median filtering with thresholding method:1||Improved nonlocal means (INLM) approach:1||Improved totalvariation with gradient method:1||Injected material:1||Inpainting method:1||Inversion recovery (IR):1||Inversion time (TI):1||Iteration intensity and kernel:1||Iterative reconstruction:1||Jaszczak PET Phantom:1||Kedge logsubtraction imaging method:1||Ltype voltagedependent Ca2+ channel:1||Lee Filter:1||Lee 필터:1||Light microscopic image:1||Light microscopy:1||Liver Blood Vessel:1||Liver Cirrhosis:1||Liver Ultrasound Image:1||Long length detector:1||Longbone:1||Lowdose CT using high pitch:1||Lowdose chest CT:1||Lung Image:1||Lutetiumyttrium oxyorthosilicate (LYSO) scintillation detector:1||MASH 팬텀:1||MMWF algorithm:1||MMWF 알고리즘:1||MRbased attenuation correction sequences:1||MRI:1||MRiLab 시뮬레이션:1||MRiLab 시뮬레이션 프로그램:1||Magnetic resonance (MR):1||Magnetic resonance (MR) imaging:1||Magnetic resonance image:1||Magnetic resonance image (MRI):1||Male Adult meSH phantom (MASH):1||Male adult human phantom:1||Medial mammography:1||Median:1||Median filter:1||Median modified wiener filter:1||Medianmodified Wiener filter (MMWF) algorithm:1||Medical diagnosis:1||Medical image filtering:1||Medical physics:1||Medical ultrasonic:1||Menstrual cycle:1||Microsized tungsten:1||Modelbased iterative reconstruction(MBIR):1||Multimaterial decomposition (MMD) technique:1||Muscle:1||NEX:1||Nanosized tungsten:1||Near field clutter (NFC) artifact:1||Nearinfrared (NIR) imaging system:1||Nearinfrared image:1||Newly designed image processing algorithm:1||Noreferencebased image quality evaluation:1||Noise:1||Noise analysis:1||Noise level:1||Noise level and spatial resolution evaluations:1||Noise power spectrum density:1||Noise reduction technique:1||Noisereduction algorithm:1||Noisereduction technique:1||Nonblind deconvolution:1||Nondestructive testing:1||Nonlocal means (NLM) algorithm:1||Nonlocal means algorithm using acceleration function:1||Nonuniformity correction:1||Nondestructive testing:1||Nondestructive testing (NDT):1||Nonlocal means denoising algorithm:1||Nuclear Medicine:1||Nuclear medicine imaging system:1||Number of excitation (NEX) Bandwidth (BW):1||Optimization for algorithm:1||Optimization of NLM algorithm:1||Optimization of dose and image quality:1||Optimization of mask size:1||Optimization of noise reduction algorithm:1||Optimize the smoothing factor:1||Ordered subset expectation maximization (OSEM):1||Organ absorbed dose:1||PCXMC:1||Pancreas segmentation:1||Parallelhole collimator:1||Patch group based nonlocal selfsimilarity prior learning denoising (PGPD) algorithm:1||Patch groupbased noise reduction algorithm:1||Pediatric abdomen CT scan:1||Pediatric abdominal computed tomography:1||Pediatric chest computed tomography:1||Performance evaluation:1||Performance evaluation of image quality:1||Photon counting detector (PCD):1||Photoncounting Xray detector:1||Photoncounting Xray imaging:1||Physical grid:1||Pinhole collimator:1||Pixelated cadmium telluride semiconductor detector:1||Pixelated photoncounting detector:1||Positron emission tomography (PET):1||Projector:1||Pulmonary nodules:1||Quadrant bar phantom for quality control:1||Quality control phantom:1||Quantitative Evaluation:1||Quantitative analysis of image performance:1||Quantitative and comparison evaluation parameters:1||Quantitative evaluation of image qualities:1||Quantitative performance evaluation:1||Quantitatively imagequality evaluation:1||R/G value analysis:1||Radiation:1||Radiation calculations:1||Radiation dose reduction:1||Radiation exposure:1||Radiation exposure dose evaluation:1||Radiation monitoring:1||Radiation shielding material:1||Radiographic image enhancement:1||Radiographs:1||Reducing contrast agent concentration:1||Regiongrowing based segmentation:1||Regularization parameter:1||Relative total variation:1||Rician noise:1||SNR:1||SNR (Signal to noise ratio):1||SPECT image reconstruction methods:1||Scan angle:1||Scanning electron microscope (SEM):1||Semiconductor detector:1||Sensitivity and scatter fraction evaluations:1||Shear wave elastography:1||Shearwave elastography:1||Si/CZT Compton camera imaging:1||Similarity analysis:1||Simulation methods and programs:1||Simulation study:1||Simultaneous PET/MR scanner:1||Single image superresolution algorithm:1||Single photon emission computed tomography:1||Single photon emission computed tomography (SPECT):1||Single photon emission computed tomography (SPECT)/computed tomography (CT):1||Singlephoton emission computed tomography:1||Sinogram reconstruction:1||Skull phantom Xray image:1||Slice thickness:1||Software based scatter correction:1||Source of Image Distance (SID):1||Spatial resolution and sensitivity evaluations:1||Spatial resolution evaluations:1||Speckle Noise Reduction:1||Standing whole spine examination:1||Stiffness measurement program:1||Structural similarity index:1||Super resolution convolutional neural network:1||Superresolution:1||T1weighted magnetic resonance brain image:1||T2강조영상:1||TV Algorithm:1||TV 알고리즘:1||Thallium bromide (TlBr) material:1||Thallium bromide (tlBr) semiconductor:1||Thickness based scatter kernel:1||Tinfilter:1||TomoDirect (TD):1||Total Variation (TV):1||Total variation:1||Total variation (TV) approach:1||Total variation (TV) filter:1||Total variation (TV)based denoising technique:1||Total variation algorithm:1||Total variation noise reduction approach:1||Total variation noise reduction method:1||Total variation penalty:1||Total variation 알고리즘:1||Totalvariation approach:1||Totalvariationbased noiseremoval algorithm:1||Transmissivity evaluation:1||Tube voltage:1||UNet model:1||UTE pulse sequence:1||UTE 펄스 시퀀스:1||Ultrasound Image:1||Ultrasound Images:1||Ultrasound imaging:1||Uniformity:1||Unmatched system model:1||Vein segmentation:1||Virtual monoenergetic image (VMI):1||Wavelet thresholding:1||Wiener:1||Wiener filter:1||Window Size:1||Wrist PAgrip view:1||Xray and gamma ray fusion image:1||Xray computed tomography (CT) image:1||Xray diffraction spectroscopy (XRD):1||Xray energy spectrum:1||Xray exposure parameters:1||Xray image denoising:1||Xray imaging:1||Xray imaging system:1||Xray source trajectory:1||X선 skull 팬텀 영상:1||X선 에너지 스펙트럼:1||X선 조사조건:1||Yttrium90:1||accurate diagnosis of thyroid nodules:1||adaptive point spread function (PSF):1||adaptive pointspread function:1||additional filter:1||alternating direction method of multipliers (ADMMs):1||attenuation correction:1||blind deconvolution:1||blockmatching and 3D filtering (BM3D):1||breast Xray image:1||breast cancer:1||convergence algorithm using medianmodified Wiener filter and prewitt operator:1||denoising algorithm:1||deblurring algorithm:1||deconvolution after noise reduction:1||deep convolutional neural network:1||deep learning:1||denoising algorithm:1||diagnostic ultrasound image:1||digital radiography:1||distortion:1||dose modulation:1||evaluation of image quality:1||evaluation of image quality and dose:1||fast non local means filter (FNLM):1||flexible amorphous silicon:1||flip angle:1||fusion imaging system:1||generative adversarial network:1||gingivitis:1||image deblurring:1||image denoising:1||image processing framework for redness measurement:1||image processing technique:1||image quality assessment (IQA):1||improved median filter:1||industrial highenergy Xray imaging system:1||intraoral photo image:1||iterative reconstruction:1||jaw mode and field width:1||light microscope image:1||light microscopic image:1||long leg examination:1||longlength detector:1||lowdose computed tomography:1||magnetic resonance image:1||magnetic resonance imaging:1||magnetic resonance/positron emission tomography fusion image:1||median modifiedWiener filter:1||membrane potential:1||menstrual cycle:1||mization:1||motion artifact:1||multiscale deep encoderdecoder with phase congruency (MSDEPC):1||nbsp:1||new nonlocal total variation noise reduction algorithm:1||noise reduction algorithm:1||noisereduction algorithm:1||nonblind deconvolution:1||nondestructive testing:1||nonlocal means (NLM) method:1||nonlocal means noise reduction algorithm:1||nonselective cation channel:1||nuclear medicine:1||oestrogen:1||optimization of block matching and 3D filtering algorithm:1||optimization of denoising algorithm:1||optimize the kernel size of filter:1||oxidative stress:1||parallel magnetic resonance imaging:1||parameter optimization:1||performance evaluation of an Xray imaging system:1||periodontitis:1||positron emission tomography (PET):1||positron emission tomography (PET)/magnetic resonance (MR):1||quality evaluation of ultrasonographic equipment:1||quantitative analysis:1||quantitative evaluation:1||quantitative evaluation of image qualities:1||radiation dose reduction:1||radiation therapy:1||radiomagnetic image processing:1||radiomagnetic imaging:1||radiographic image enhancement:1||radiography:1||regiongrowingbased segmentation:1||s disease:1||sensitivity encoding reconstruction:1||shear wave elastography:1||shearwave elastography:1||simulationbased dataset:1||source of image distance (SID):1||stiffness:1||super resolution (SR):1||thinfilm transistor detector:1||threedimensional conformal radiation therapy (3DCRT):1||total variation (TV):1||ultrashort echotime pulse sequence:1||ultrasound:1||ultrasound quality control:1||vasoconstriction:1||virtual grid:1||wavelet transform:1||whole spine examination:1||wrist PAgrip view:1||간 초음파 영상:1||간 혈관:1||간경변:1||경사에코:1||고급 모델 반복 재구성법:1||관전압:1||광학 현미경:1||광학 현미경 영상:1||구리 필라멘트:1||근적외선 영상 시스템:1||노이즈 레벨 평가:1||노이즈 전력 스펙트럼 밀도 최적화:1||뇌 T2 강조 영상:1||단면 두께:1||대조도 대 잡음비:1||모델 기반 반복적 재구성:1||방사선:1||변형된 중간값 위너 필터:1||복부 비조영 CT:1||부가 여과판:1||브레인웹 시뮬레이션 프로그램:1||블라인드 품질 평가:1||블록 매칭 및 3D 필터링 알고리즘:1||비지역적 평균 알고리즘:1||선량 감소:1||선량감소:1||선량관리 프로그램:1||성인 남성 인체모형 팬텀:1||스페클 노이즈 제거:1||신호 대 잡음비:1||에코시간:1||여기횟수:1||영상 화질:1||영상처리:1||영상품질 정량적 평가:1||왜곡:1||윈도우 크기:1||유효선량:1||이자 분할:1||자기공명영상장치:1||잡음 강도:1||장골:1||장골 검출기:1||전산화 단층 촬영:1||전산화단층검사:1||전산화단층촬영:1||정량적 및 비교 평가 인자들:1||정맥 분할:1||제이작 펫 팬텀:1||주석필터:1||주입물질:1||중간값 변형 위너 필터:1||진단참고수준:1||체계적 고찰:1||초고분해능 합성곱 신경망 알고리즘:1||총변이 노이즈 제거 알고리즘:1||펫엠알:1||폐 영상:1||필터링 인자:1||하이브리드 스캐너:1||핵의학 영상:1||화질 개선 알고리즘 최적화:1||흉부 Xray:1||(ADNI) database:1||흉부 저선량 CT:1||(fnlm) approach:1||3D Hoffman brain phantom:1||3D Printer:1||3D median modified wiener filter (MMWF):1||3D printed phantom:1||3d printing:1||ATS539 multipurpose phantom:1||Abdominal computed tomography:1||Abdominal noncontrast CT:1||Abdominopelvic computed tomography (CT):1||Adaptive smoothing technique:1||Additional filter:1||Al filtration:1||Algorithm:1||Algorithm optimization of quality improvement:1||Aluminum and polymethyl methacrylate (PMMA):1||Alzheimer ?s disease:1||Alzheimer&apos:1||Alzheimer?s disease neuroimaging initiative&:1||Aneurysm:1||Armsdown position:1||Attenuation correction with MR sequences:1||Bvalue:1||BRISQUE:1||Bias field correction:1||Blind deconvolution:1||Blockmatching and 3D filtering:1||Blockmatching and 3D filtering (BM3D):1||Blockmatching and 3D filtering (BM3D) algorithm:1||Body mass index (BMI):1||Bone subtraction:1||Brain single photon emission computed tomography (SPECT):1||BrainWeb simulated brain MRI database:1||BrainWeb simulation program:1||Breast American college of radiology (ACR) phantom:1||Breast PET/MR RF coil:1||Breast Xray image:1||Breast cancer detection:1||Breast imaging:1||CMOS Xray detector:1||CNR:1||CNR (Contrast to noise ratio):1||COV:1||COV (Coefficeint of variation):1||CT:1||CT Dose measure:1||CTDose Phantom:1||CTDose팬텀:1||CTDI phantom:1||CT피폭선량:1||CZT detector:1||Cadmium telluride:1||Carbonated water:1||Caries activity:1||CdTe photon counting detector:1||CdTe photon counting room temperature semiconductor detector (PCRTSD):1||Cerebral CT angiography (CTA):1||Chest CT:1||Chest Xray:1||Chest digital tomosynthesis(CDT):1||Clip and coil:1||Collimator:1||Color mapping program:1||Computed Tomography:1||Computed tomography (CT) imaging system:1||Computed tomography thoracic image:1||Computed tomography · 3D printing technique · Femur fracture · Denoising algorithm · Total variation:1||Confocal laser scanning microscopy:1||Contrastenhanced digital mammography (CEDM):1||Contrasttonoise ratio (CNR):1||Copper filament:1||Decomposed sinusoidlike curve (Scurve):1||Deep convolutional neural network (DeepCNN) noise reduction algorithm:1||Deeplearning image reconstruction (DLIR) intensity:1||Development of miniaturized vein imaging system:1||Diagnostic Xray imaging:1||Diagnostic reference levels:1||Diffusion weighted image (DWI):1||Digital breast tomosynthesis:1||Digital medical health:1||Digital tomosynthesis:1||Digital tomosynthesis system(DTS):1||Doppler imaging:1||Dose Reduction:1||Dose area product (DAP):1||Dose management program:1||Dose reduction:1||

RSS_1.0 RSS_2.0 ATOM_1.0

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

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Detailed Information

Keyword

BROWSE