Namkug Kim

发表

Development of an Intra-operative Navigation System Using an Optical Tracking System.

Yeom Js, Ha Yong Kim, Choy Ws, 2002 .

Sex differences in amygdala subregions: Evidence from subregional shape analysis

Kyungmo Park, Younbyoung Chae, Seung-Yeon Cho, 2012, NeuroImage.

Optimal Selection of Operating Point for Hessian-based Polyp Detection Method in CT Colonography

Jong Hyo Kim, Kwang Gi Kim, Namkug Kim, 2007 .

Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net☆

Minho Lee, Joon Beom Seo, Jaeyoun Yi, 2019, Medical Image Anal..

Performance testing of several classifiers for differentiating obstructive lung diseases based on texture analysis at high-resolution computerized tomography (HRCT)

Joon Beom Seo, Suk-Ho Kang, Youngjoo Lee, 2009, Comput. Methods Programs Biomed..

Correction of lung boundary using the gradient and intensity distribution

Yeong-Gil Shin, Joon Beom Seo, Helen Hong, 2009, Comput. Biol. Medicine.

False Positive Reduction by Actively Mining Negative Samples for Pulmonary Nodule Detection in Chest Radiographs pdf

Joon Beom Seo, Sejin Park, Namkug Kim, 2018, ArXiv.

Rapid Method for Electron Tomographic Reconstruction and Three-Dimensional Modeling of the Murine Synapse Using an Automated Fiducial Marker-Free System

Im Joo Rhyu, Namkug Kim, Hyun-wook Kim, 2013, Microscopy and Microanalysis.

Fast and efficient lung disease classification using hierarchical one-against-all support vector machine and cost-sensitive feature selection

Joon Beom Seo, Youngjoo Lee, Namkug Kim, 2012, Comput. Biol. Medicine.

Efficient liver segmentation using a level-set method with optimal detection of the initial liver boundary from level-set speed images

Yeong-Gil Shin, Joon Beom Seo, Ho Lee, 2007, Comput. Methods Programs Biomed..

Robust and fast shell registration in PET and MR/CT brain images

Yeong-Gil Shin, Ho Lee, Jeongjin Lee, 2009, Comput. Biol. Medicine.

Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease

Joon Beom Seo, Yeha Lee, Sanghoon Jun, 2018, Journal of Digital Imaging.

Automatic classification of pulmonary artery and vein sub-trees by tree modeling and quantitative features based on tree geometry and topology.

Namkug Kim, 2015 .

Computer-aided diagnosis for classifying benign versus malignant thyroid nodules based on ultrasound images: A comparison with radiologist-based assessments.

Namkug Kim, Anjan Kumar Paul, Yongjun Chang, 2016, Medical physics.

Hybrid Airway Segmentation Using Multi-Scale Tubular Structure Filters and Texture Analysis on 3D Chest CT Scans

Minho Lee, Joon Beom Seo, Namkug Kim, 2018, Journal of Digital Imaging.

Accuracy evaluation of blood flow distribution in the Fontan circulation: effects of resolution and velocity noise

Hojin Ha, Namkug Kim, Sang Joon Lee, 2018, J. Vis..

Subdivision methods of converting STEP into VRML on Web

Suk-Ho Kang, Namkug Kim, Yun-Ah Kim, 1997 .

Integrating motion controlled interface and mobility into 3D PACS for surgery

Namkug Kim, Jong Woo Choi, Ben Joonyeon Park, 2015, 2015 International Conference on Informatics, Electronics & Vision (ICIEV).

Web based 3-D Medical Image Visualization on the PC

Youngho Kim, Namkug Kim, Dong-hyuk Lee, 1998, MedInfo.

Improvement of computational efficiency using a cascade classification scheme for the classification of diffuse infiltrative lung disease on HRCT

Joon Beom Seo, Suk-Ho Kang, Youngjoo Lee, 2009, Medical Imaging.

Reply to letter by Dyverfeldt and Ebbers regarding the article "Estimation of turbulent kinetic energy using 4D phase-contrast MRI: Effect of scan parameters and target vessel size".

Hojin Ha, Namkug Kim, Young-Hak Kim, 2016, Magnetic resonance imaging.

Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets

Joon Beom Seo, Namkug Kim, Jihye Yun, 2019, Journal of Digital Imaging.

Deep Learning in Medical Imaging

Namkug Kim, Jihye Yun, Ryoungwoo Jang, 2019, Neurospine.

Automatic hepatocellular carcinoma lesion detection with dynamic enhancement characteristic from multi-phase CT images

Jieun Kim, Kyung Won Kim, Namkug Kim, 2019, Other Conferences.

Accuracy of a simplified 3D-printed implant surgical guide.

Namkug Kim, Guk Bae Kim, Taehun Kim, 2019, The Journal of prosthetic dentistry.

Gesture-Controlled Interface for Contactless Control of Various Computer Programs with a Hooking-Based Keyboard and Mouse-Mapping Technique in the Operating Room

Jong-Woo Choi, Namkug Kim, Ben Joonyeon Park, 2016, Comput. Math. Methods Medicine.

Automatic measurement of oblique-oriented airway dimension at volumetric CT: effect of imaging parameters and obliquity of airway with FWHM method using a physical phantom

Joon Beom Seo, Suk-Ho Kang, Namkug Kim, 2007, SPIE Medical Imaging.

3D Printing Technology in Craniofacial Surgery and Salivary Gland Regeneration

Namkug Kim, Jong Woo Choi, Chang Mo Hwang, 2017 .

Development of an Automatic Classification System for Differentiation of Obstructive Lung Disease using HRCT

Joon Beom Seo, Suk-Ho Kang, Youngjoo Lee, 2008, Journal of Digital Imaging.

Artificial Intelligence in Health Care: Current Applications and Issues

Seungwook Paek, Jong Chul Ye, Namkug Kim, 2020, Journal of Korean medical science.

Semi-automatic and robust determination of dental arch form in dental cone-beam CT with B-spline approximation

Jae-Woo Park, Namkug Kim, Myungsoo Bae, 2019, Comput. Methods Programs Biomed..

Development of a robust and cost-effective 3D respiratory motion monitoring system using the kinect device: Accuracy comparison with the conventional stereovision navigation system

Namkug Kim, Myungsoo Bae, SangMin Lee, 2018, Comput. Methods Programs Biomed..

CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernels

Namkug Kim, Sang Min Lee, Da-in Eun, 2020, Comput. Methods Programs Biomed..

Curriculum learning from patch to entire image for screening pulmonary abnormal patterns in chest-PA X-ray: intra- and extra-validations on multi-center datasets

Joon Beom Seo, Namkug Kim, Beomhee Park, 2018 .

A Perlin Noise-Based Augmentation Strategy for Deep Learning with Small Data Samples of HRCT Images

Joon Beom Seo, Namkug Kim, Chang-Wook Kim, 2018, Scientific Reports.

A computer-aided differential diagnosis between UIP and NSIP using automated assessment of the extent and distribution of regional disease patterns at HRCT: comparison with the radiologist's decision

Joon Beom Seo, Youngjoo Lee, Jeongjin Lee, 2009, Medical Imaging.

A novel algorithm for polyp detection using Eigen decomposition of Hessian-matrix for CT colonography CAD: validation with physical phantom study

Jong Hyo Kim, Jong-Mo Seo, Namkug Kim, 2007, SPIE Medical Imaging.

A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides

Namkug Kim, Beomhee Park, Yongwon Cho, 2019, Scientific Reports.

Enhancement of gesture recognition for contactless interface using a personalized classifier in the operating room

Namkug Kim, Jongha Park, Areum Lee, 2018, Comput. Methods Programs Biomed..

Automatic registration of ICG images using mutual information and perfusion analysis

Jong Hyo Kim, Jong-Mo Seo, Hum Chung, 2005, SPIE Medical Imaging.

Enhancement of surgical hand gesture recognition using a capsule network for a contactless interface in the operating room

Namkug Kim, Yongwon Cho, A-Reum Lee, 2020, Comput. Methods Programs Biomed..

An automatic method for fast and accurate liver segmentation in CT images using a shape detection level set method

Yeong-Gil Shin, Joon Beom Seo, Ho Lee, 2007, SPIE Medical Imaging.

Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks

Joon Beom Seo, Namkug Kim, Heejun Park, 2019, Journal of Digital Imaging.

Performance enhancement of respiratory tumor motion prediction using adaptive support vector regression: Comparison with adaptive neural network method

Namkug Kim, Sung-Ho Park, Yongjun Chang, 2014, Int. J. Imaging Syst. Technol..

Size-based emphysema cluster analysis on low attenuation area in 3D volumetric CT: comparison with pulmonary functional test

Minho Lee, Joon Beom Seo, Namkug Kim, 2015, Medical Imaging.

Formulation of a reference coordinate system of three-dimensional (3D) head and neck images: Part I. Reproducibility of 3D cephalometric landmarks

Namkug Kim, Jae-Woo Park, Young Il Chang, 2005 .

Analysis of point-to-point lung motion with full inspiration and expiration CT data using non-linear optimization method: optimal geometric assumption model for the effective registration algorithm

Joon Beom Seo, Suk-Ho Kang, Namkug Kim, 2007, SPIE Medical Imaging.

A three-dimensional analysis of soft and hard tissue changes after a mandibular setback surgery

Cheol Lee, Suk-Ho Kang, Jae-Woo Park, 2006, Comput. Methods Programs Biomed..

A fast and robust level set motion-assisted deformable registration method for volumetric CT guided lung intervention

Joon Beom Seo, Namkug Kim, Sang Min Lee, 2018 .

Radiomic features and multilayer perceptron network classifier: a robust MRI classification strategy for distinguishing glioblastoma from primary central nervous system lymphoma

Namkug Kim, Jihye Yun, Sungwon Ham, 2019, Scientific Reports.

Regional Context-Sensitive Support Vector Machine Classifier to Improve Automated Identification of Regional Patterns of Diffuse Interstitial Lung Disease

Joon Beom Seo, Suk-Ho Kang, Youngjoo Lee, 2011, Journal of Digital Imaging.

Development of a personalized and realistic educational thyroid cancer phantom based on CT images: An evaluation of accuracy between three different 3D printers

Namkug Kim, Taehun Kim, Sangwook Lee, 2019, Comput. Biol. Medicine.

Development of a Computer-Aided Differential Diagnosis System to Distinguish Between Usual Interstitial Pneumonia and Non-specific Interstitial Pneumonia Using Texture- and Shape-Based Hierarchical Classifiers on HRCT Images

Joon Beom Seo, Sanghoon Jun, Namkug Kim, 2018, Journal of Digital Imaging.

Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network

Namkug Kim, Yongwon Cho, Keewon Shin, 2020, Comput. Methods Programs Biomed..

Preliminary Validation of Prediction of Poor Outcome in Initially Stable Upper Gastrointestinal Bleeding ED Patients Using Multiple Machine Learning Algorithms

Won-Young Kim, Namkug Kim, Dongwoo Seo, 2018, AMIA.

Automatic Left and Right Lung Separation Using Free-Formed Surface Fitting on Volumetric CT

Minho Lee, Joon Beom Seo, Namkug Kim, 2014, Journal of Digital Imaging.

Automatic Skull Segmentation and Registration for Tissue Change Measurement After Mandibular Setback Surgery

Suk-Ho Kang, Jae-Woo Park, Ho Lee, 2006, PSIVT.

An Ensemble Method for Classifying Regional Disease Patterns of Diffuse Interstitial Lung Disease Using HRCT Images from Different Vendors

Joon Beom Seo, Sanghoon Jun, Namkug Kim, 2017, Journal of Digital Imaging.

Novel level-set based segmentation method of the lung at HRCT images of diffuse interstitial lung disease (DILD)

Yeong-Gil Shin, Joon Beom Seo, Ho Lee, 2009, Medical Imaging.

A support vector machine classifier reduces interscanner variation in the HRCT classification of regional disease pattern in diffuse lung disease: comparison to a Bayesian classifier.

Joon Beom Seo, Namkug Kim, Yongjun Chang, 2013, Medical physics.

The performance improvement of automatic classification among obstructive lung diseases on the basis of the features of shape analysis, in addition to texture analysis at HRCT

Joon Beom Seo, Suk-Ho Kang, Youngjoo Lee, 2007, SPIE Medical Imaging.

Performance comparison of classifiers for differentiation among obstructive lung diseases based on features of texture analysis at HRCT

Joon Beom Seo, Dongil Kim, Bokyoung Kang, 2007, SPIE Medical Imaging.

Barcode Method for Generative Model Evaluation driven by Topological Data Analysis pdf

Namkug Kim, Ryoungwoo Jang, Minjee Kim, 2021, ArXiv.

Fully automated estimation of arch forms in cone-beam CT with cubic B-spline approximation: Evaluation of digital dental models with missing teeth

Namkug Kim, Myungsoo Bae, Jae-Woo Park, 2021, Comput. Biol. Medicine.

The Medical Segmentation Decathlon pdf

Yan Wang, Akshay Pai, Daguang Xu, 2021, ArXiv.

Endoscopic diagnosis and treatment planning for colorectal polyps using a deep-learning model

Eun Mi Song, Namkug Kim, Sung Wook Hwang, 2020, Scientific Reports.

Assessment of Regional Xenon Ventilation, Perfusion, and Ventilation-Perfusion Mismatch Using Dual-Energy Computed Tomography in Chronic Obstructive Pulmonary Disease Patients

Joon Beom Seo, Jae Seung Lee, Namkug Kim, 2015, Investigative radiology.

Hepatic Fat Quantification: A Prospective Comparison of Magnetic Resonance Spectroscopy and Analysis Methods for Chemical-Shift Gradient Echo Magnetic Resonance Imaging With Histologic Assessment as the Reference Standard

Namkug Kim, Seong Ho Park, Jae Ho Byun, 2012, Investigative radiology.

Thoracic cavity segmentation algorithm using multiorgan extraction and surface fitting in volumetric CT.

Joon Beom Seo, Namkug Kim, Sang Min Lee, 2014, Medical physics.

Perfusion- and pattern-based quantitative CT indexes using contrast-enhanced dual-energy computed tomography in diffuse interstitial lung disease: relationships with physiologic impairment and prediction of prognosis

Joon Beom Seo, Namkug Kim, Kyung Soo Lee, 2016, European Radiology.

Validation of a CT-guided intervention robot for biopsy and radiofrequency ablation: experimental study with an abdominal phantom.

Joon Beom Seo, Namkug Kim, Hyung Jin Won, 2017, Diagnostic and interventional radiology.

Four-dimensional flow MRI for evaluation of post-stenotic turbulent flow in a phantom: comparison with flowmeter and computational fluid dynamics

Namkug Kim, Young-Hak Kim, Andreas Greiser, 2016, European Radiology.

Tracheal morphology and collapse in COPD: correlation with CT indices and pulmonary function test.

Joon Beom Seo, Namkug Kim, Eun Jin Chae, 2011, European journal of radiology.

Computer-aided detection system for masses in automated whole breast ultrasonography: development and evaluation of the effectiveness

Young-Wook Choi, Joo Hee Cha, Namkug Kim, 2014, Ultrasonography.

Evaluation of computer-aided detection and dual energy software in detection of peripheral pulmonary embolism on dual-energy pulmonary CT angiography

Joon Beom Seo, Namkug Kim, Eun Jin Chae, 2010, European Radiology.

Estimation of turbulent kinetic energy using 4D phase-contrast MRI: Effect of scan parameters and target vessel size.

Hojin Ha, Namkug Kim, Young-Hak Kim, 2016, Magnetic resonance imaging.

Comparison of Usual Interstitial Pneumonia and Nonspecific Interstitial Pneumonia: Quantification of Disease Severity and Discrimination between Two Diseases on HRCT Using a Texture-Based Automated System

Joon Beom Seo, Namkug Kim, Dong Soon Kim, 2011, Korean journal of radiology.

CT histogram analysis: differentiation of angiomyolipoma without visible fat from renal cell carcinoma at CT imaging.

Namkug Kim, Kyoung-Sik Cho, Namkug Kim, 2008, Radiology.

Stress Myocardial Perfusion CT in Patients Suspected of Having Coronary Artery Disease: Visual and Quantitative Analysis-Validation by Using Fractional Flow Reserve.

Dongjin Han, Namkug Kim, Young-Hak Kim, 2015, Radiology.

Incorporating a 3‐dimensional printer into the management of early‐stage cervical cancer

Namkug Kim, Namkug Kim, J. Nam, 2016, Journal of surgical oncology.

Alterations of mean diffusivity in brain white matter and deep gray matter in Parkinson's disease

Namkug Kim, Eun Hye Jang, Ho Sung Kim, 2013, Neuroscience Letters.

Intravoxel incoherent motion MRI for liver fibrosis assessment: a pilot study

Namkug Kim, Bernd Kühn, Namkug Kim, 2015, Acta radiologica.

Feasibility of Automated Quantification of Regional Disease Patterns Depicted on High-Resolution Computed Tomography in Patients with Various Diffuse Lung Diseases

Joon Beom Seo, Namkug Kim, Yu Sub Sung, 2009, Korean journal of radiology.

Apparent diffusion coefficient: Prostate cancer versus noncancerous tissue according to anatomical region

Namkug Kim, Kyoung-Sik Cho, Namkug Kim, 2008, Journal of magnetic resonance imaging : JMRI.

Amygdalar shape analysis method using surface contour aligning, spherical mapping, and probabilistic subregional segmentation

Namkug Kim, In Kyoon Lyoo, Perry F. Renshaw, 2011, Neuroscience Letters.

Xenon ventilation CT with a dual-energy technique of dual-source CT: initial experience.

Joon Beom Seo, Namkug Kim, Eun Jin Chae, 2008, Radiology.

Short-term Reproducibility of Pulmonary Nodule and Mass Detection in Chest Radiographs: Comparison among Radiologists and Four Different Computer-Aided Detections with Convolutional Neural Net

Joon Beom Seo, Namkug Kim, Kyu-Hwan Jung, 2019, Scientific Reports.

Usefulness of a 3D-Printed Thyroid Cancer Phantom for Clinician to Patient Communication

Namkug Kim, Taehun Kim, Dayeong Hong, 2019, World Journal of Surgery.

Improved Correlation Between CT Emphysema Quantification And Pulmonary Function Test By Density Correction Of Volumetric CT Data Based On Air And Aortic Density

Joon Beom Seo, Namkug Kim, Song Soo Kim, 2011, ATS 2011.

Functional MR imaging of prostate cancer.

Namkug Kim, Kyoung-Sik Cho, Kyoung Won Kim, 2007, Radiographics : a review publication of the Radiological Society of North America, Inc.

Bayesian classifier for predicting malignant renal cysts on MDCT: early clinical experience.

Namkug Kim, Kyoung-Sik Cho, Namkug Kim, 2009, AJR. American journal of roentgenology.

Diagnosis of lymph node metastasis in uterine cervical cancer: usefulness of computer-aided diagnosis with comprehensive evaluation of MR images and clinical findings

Namkug Kim, Gyunggoo Cho, Kyoung-Sik Cho, 2011, Acta radiologica.

Intravoxel incoherent motion diffusion-weighted MR imaging of the liver: effect of triggering methods on regional variability and measurement repeatability of quantitative parameters.

Namkug Kim, Seong Ho Park, Sung-Cheol Yun, 2015, Radiology.

Percent change of perfusion skewness and kurtosis: a potential imaging biomarker for early treatment response in patients with newly diagnosed glioblastomas.

Namkug Kim, Ho Sung Kim, Hye Jin Baek, 2012, Radiology.

Semi-Automatic Measurement of the Airway Dimension by Computed Tomography Using the Full-Width-Half-Maximum Method: a Study on the Measurement Accuracy according to the CT Parameters and Size of the Airway

Joon Beom Seo, Namkug Kim, Eun Jin Chae, 2008, Korean journal of radiology.

Effectiveness of transfer learning for enhancing tumor classification with a convolutional neural network on frozen sections

Namkug Kim, Young-Gon Kim, Namkug Kim, 2020, Scientific Reports.

A Curriculum Learning Strategy to Enhance the Accuracy of Classification of Various Lesions in Chest-PA X-ray Screening for Pulmonary Abnormalities

Joon Beom Seo, Namkug Kim, Beomhee Park, 2019, Scientific Reports.

Ecient Liver Segmentation exploiting Level-Set Speed Images with 2.5D Shape Propagation

Joon Beom Seo, Jeongjin Lee, Namkug Kim, 2007 .

Post-stenotic plug-like jet with a vortex ring demonstrated by 4D flow MRI.

Hojin Ha, Namkug Kim, Young-Hak Kim, 2016, Magnetic resonance imaging.

Which combination of MR imaging modalities is best for predicting recurrent glioblastoma? Study of diagnostic accuracy and reproducibility.

Namkug Kim, Ho Sung Kim, Namkug Kim, 2014, Radiology.

Myocardial 3-Dimensional Printing for Septal Myectomy Guidance in a Patient With Obstructive Hypertrophic Cardiomyopathy.

Namkug Kim, Dong Hyun Yang, Jae-Kwan Song, 2015, Circulation.

Three-Dimensional Printing: Basic Principles and Applications in Medicine and Radiology

Hojin Ha, Namkug Kim, Young-Hak Kim, 2016, Korean journal of radiology.

Panoramic endoluminal display with minimal image distortion using circumferential radial ray-casting for primary three-dimensional interpretation of CT colonography

Beom Jin Park, Namkug Kim, Seong Ho Park, 2009, European Radiology.