ScholarWorks@Soongsil University: Lee, Jeong Jin

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Lee, Jeong Jin (이정진)

College of Information Technology (School of Computer Science and Engineering)

Research Area: 영상처리, 딥러닝, 증강현실, Image Processing, Deep Learning, Augmented Reality

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Liver transplantation:10||Computed tomography:7||Medical Imaging:7||Rigid Registration:6||Sarcopenia:6||Living donors:4||강체 정합:4||의료 영상:4||Augmented Reality:4||NonRigid Registration:3||Multidetector computed tomography:3||딥러닝:3||Computational modeling:3||Volume rendering:3||Adipose tissue:3||Rigid registration:3||Image segmentation:3||Liver:3||비강체 정합:3||Fatty liver:2||fold preservation:2||Liver regeneration:2||연체 변형:2||Muscle:2||Softbody Deformation:2||Split Energy Function:2||sarcopenia:2||Liver segmentation:2||CT volumetry:2||의료영상:2||Image Blending:2||skeletal:2||증강현실:2||Deep learning:2||Cardiac CT Angiography:2||Deep Learning:2||liver transplantation:2||Computer graphics:2||living donor:2||LSTM:2||Image Registration:2||Nonrigid registration:2||body composition:2||material fraction:2||Image Stitching:2||computed tomography:2||Threedimensional displays:2||3D surgical navigation system:2||Segmentation:2||deep learning:2||2D Xray Angiogram:2||Artificial intelligence:2||Unsupervised Learning:2||Vascular Structure Extraction:2||CT 혈관 조영술:1||CTmodel registration:1||Cadastral map:1||Cameras:1||Canny edge approach:1||Cantlie&apos:1||Cardiac CT angiography:1||Catheterization:1||ChanVese model:1||Character recognition:1||Chest CT (흉부 CT):1||Cholangiopancreatography:1||Cloud monitoring:1||Colon centerline matching:1||Colon registration:1||Computed tomographic colonography (CTC):1||Computed tomography (CT):1||Computed tomography angiography(CTA 영상):1||Computed tomography volumetry:1||Computer Simulation:1||Concept Lattice(컨셉 격자):1||Cone beam computed tomography:1||ConeBeam Computed Tomography:1||Conebeam Computed Tomography:1||Confidence Surface:1||Constriction:1||Contour attention network:1||Contour embedded network:1||Contrast phase:1||Convolutional neural network:1||Coronary artery stenosis:1||Corresponding Point Pairing:1||D planning:1||DLP Projector:1||DLP 프로젝터:1||Data models:1||Data visualization:1||Decision support model:1||Dentistry:1||Depth Map:1||Depth Perception:1||Depth map:1||Depth mapbased registration:1||Diagnosis:1||Diagnostic imaging:1||Distance Map:1||Distance regularized point regression:1||Doppler:1||Doppler shift:1||Doppler ultrasonography:1||Drone Imaging:1||Edge Map:1||Elastic Registration:1||Electronic cleansing (EC):1||Energy compaction:1||Eye tracking:1||Face Registration:1||Face registration:1||Facial Scan:1||Feautre Selection(특징 선택):1||Flowline extraction:1||FollowUp Study:1||Formal Concept Analysis(정형적 개념 분석):1||FourChamber Segmentation:1||Gastric cancer:1||Genetic algorithm:1||Grid removal:1||Guided Filter:1||Heart Segmentation:1||Heart segmentation:1||Hemorrhage:1||Hepatic artery:1||Hepatic steatosis:1||Highfidelity CT surface generation:1||Highlevel residual shape prior:1||Historical geographical information system:1||Image Processing:1||Image Segmentation:1||Image Segmentation (영상 분할):1||Image Skeletonization:1||Image Subtraction (영상 감산):1||Imaging:1||Individual tooth detection:1||Indocyanine green retention test:1||Integration based flow visualization:1||Interactive registration:1||Intrahepatic:1||Isosurfaces:1||Iterative Closest Points:1||Iterative closest point:1||Kmeans clustering:1||Land segmentation:1||Lenses:1||Level Set:1||Level set:1||Levelset:1||Line extraction:1||Line reconstruction:1||Liver CT imaging:1||Liver Segmentation:1||Liver biopsy:1||Liver fibrosis:1||Liver stiffness:1||Liver volume measurements:1||Liver volumetobody weight ratio:1||Living Donors:1||Localized Active Contour Model:1||Locally Deformable Model (지역적 변형 모델):1||Magnetic resonance:1||Markerless:1||Mathematical model:1||Matrix transposition:1||Maximum intensity:1||Maximum intensity projection:1||Medical imaging:1||Medical imaging(의료영상):1||Microbubbles:1||MultiPhase CT Angiography:1||Multiphase liver CT:1||Multiclass support vector machine:1||Multiclass(다중 클래스):1||Multiple weld seam extraction:1||Muscle measurement:1||Muscle quality:1||Muscles:1||Myosteatosis:1||Nbutyl2 cyanoacrylate (NBCA):1||Neural networks:1||Noise reduction:1||NonAlcoholic Fatty Liver Disease(NAFLD):1||NonLocal Operation:1||Nonalcoholic fatty liver disease:1||Noninvasive registration:1||Nonrigid Registration:1||Nonrigid Registration (비강체 정합):1||Opacity modulation:1||Opportunity identification:1||Optical Surface Scan:1||Optimization:1||Organ volume:1||Output Coding(출력 코딩):1||Pancreatic ductal adenocarcinoma:1||Panoramic Xray image detection:1||Parallelization:1||Partially mapped crossover:1||Pattern Analysis(패턴 분석):1||Phantom:1||Photovoltaic:1||Point cloud registration:1||Pointwise object detection:1||Polygonal approximation:1||Portal vein embolization:1||Portal vein stenosis:1||Pose regression neural network:1||Poseaware tooth detection:1||Power Watershed Anisotropic Diffusion Filter:1||Power watershed:1||Principal Component Analysis:1||R&:1||ROI:1||Real option:1||Reference values:1||Rendering (computer graphics):1||Repeatability:1||Rightsided ligamentum teres:1||Rigid registration(강체정합):1||Risk factor:1||Seam extraction:1||SelfAttention Block:1||Selfsupervised neural network:1||Selfsupervising network:1||Semiautomated liver volumetry:1||Shear wave elastography:1||Similarity Measurement(유사도 측정):1||Skeletal muscle index:1||Skeletonization:1||Stereo Matching:1||Structured Light:1||Subsidy:1||Subtree:1||Support Vector Machine(서포트 벡터 머신):1||Surface Matching:1||Surface Registration:1||Surface registration:1||Surface rendering:1||Surface treatment:1||Surgery:1||Surgical Navigation System:1||Surgical Navigation Systems:1||System dynamics:1||Tjunction:1||Technological opportunity:1||Technological performance:1||Templatebased Registration:1||Tomography:1||Tooth identification:1||Tooth instance segmentation:1||Transfer function:1||Transplantation:1||Tubular structure:1||Two dimensional displays:1||Ubiquitous Environment:1||UltraFast:1||Ultrasound:1||Vascular structure:1||Vascular structure model:1||Ventriculostomy:1||Vessel:1||Vessel enhancement:1||Vessel segmentation:1||Virtual Liver Surgery Planning:1||Virtual zSlab:1||Visibility interpolation:1||Volume Visualization:1||Volumetric computed tomography:1||Voxelization:1||Xray angiogram(XA 영상):1||Xray computed:1||Zfighting problem:1||anomaly detection:1||artificial intelligence:1||augmented reality:1||autoencoder:1||automated:1||bile duct:1||cancer detection:1||catecholamine excess:1||chemotherapy:1||computed tomography volumetry:1||computer simulation:1||computeraided diagnosis:1||computers and information processing:1||contextembedded interactive scatterplot:1||contrastenhanced ultrasound:1||convolutional neural network:1||deep pose regression neural network:1||defect detection:1||depth of field effect:1||direct volume rendering:1||donor evaluation:1||electronic cleansing (EC):1||feasibility:1||feature preservation:1||gadoxetic acidenhanced MR:1||gaze pattern comparison:1||gaze visualization:1||gray level cooccurrence matrix texture analysis:1||hepatic metastasis:1||hepatobiliary phase:1||hepatocellular carcinoma:1||image generation:1||image segmentation:1||imaging:1||importance measurement:1||interactive temporal chart:1||intravascular ultrasound:1||liver transplantation (LT):1||living donor liver transplantation:1||living donors:1||local isosurfacing:1||machine learning:1||magnetic resonance cholangiography:1||markerless AR:1||massspring model:1||medical imaging:1||multimodality registration:1||muscle:1||muscle mass:1||myosteatosis:1||nonrigid registration:1||nonrigid registration:1||normalized mutual information:1||obesity:1||optimal clusterbased similarity:1||oral effervescent agent:1||pancreatic cancer:1||percutaneous coronary intervention:1||phase correlation:1||pheochromocytoma:1||portal vein territorialization:1||portosystemic shunt:1||quadtree decomposition:1||radiation dose:1||ray casting:1||reproducibility:1||right posterior section:1||rightlobe graft weight:1||rigid registration:1||s line:1||scan:1||scanned dental model registration:1||scanning electron microscope image:1||screened Poisson equation:1||segmentation:1||smoothed particle hydrodynamics:1||structural response:1||telematry:1||thromboembolism:1||toxicity:1||transplant recipients:1||vascular complication:1||visualization:1||volume data reduction:1||volumepreserving particle method:1||volumetric medical images:1||webbased tool:1||xray:1||가상 간 수술 계획:1||가이디드 필터:1||간 분할:1||경계 처리:1||관심 영역:1||구조광:1||깊이 맵:1||깊이 인식:1||뇌 수술:1||다중시기 간 컴퓨터단층촬영 혈관조영술:1||드론 영상:1||딥 러닝:1||레벨 셋:1||머신러닝:1||볼륨 시각화:1||분할:1||비마커:1||비알코올성 지방간 질환:1||비지도 학습:1||수술 항법 장:1||스테레오 매칭:1||심장 컴퓨터단층촬영 혈관 조영술:1||애니메이션 제작 파이프라인:1||얼굴 정합:1||영상 골격화:1||영상 분할:1||영상 정합:1||영상 처리:1||오토인코더:1||유방수술:1||유비쿼터스 환경:1||이상탐지:1||인공지능:1||증강 현실:1||클라우드 모니터링:1||텔레메트리:1||2Axis PCA:1||혈관 구조 추출:1||2D X선 조영영상:1||2D angiography:1||2D3D Registration:1||3D Animation:1||3D Brain MR Image:1||3D Brain MR Images:1||3D Breast CT:1||3D Character:1||3D Data Reconstruction:1||3D Dental CT Image:1||3D Library Platform:1||3D Point Cloud:1||3D Printing:1||3D Transformation:1||3D breast CT:1||3D dental laser scanning:1||3D reconstruction:1||3D surgical navigation systemFace Registration:1||3차원 Breast CT:1||3차원 뇌 자기공명 영상:1||3차원 데이터 복원:1||3차원 라이브러리 플랫폼:1||3차원 변환:1||3차원 수술 항법 장치:1||3차원 애니메이션:1||3차원 캐릭터:1||3차원 포인트 클라우드:1||3차원 프린팅:1||AVX instruction set:1||Acceleration:1||Active contour:1||Active contour model without edge:1||Aliasing problem:1||Animation Production Pipeline:1||Autocontext neural network:1||Automatic defect review:1||Automatic seeding:1||Bspline deformable model:1||Bandheight image:1||Bile ducts:1||Binarization:1||Binary tree architecture:1||Biomechanical Phenomena:1||Block matching 3D (BM3D):1||Blood flow visualization:1||Body composition:1||Body mass index:1||Boundary Enhancement:1||Brain Surgery:1||Breast Surgery:1||CT:1||CT colonography:1||CT image:1||

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