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. - Namkug Kim; Joon Beom Seo; Jeong Nam Heo; Suk-Ho Kang (Image Processing, 2007)

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. - Namkug Kim; Joon Beom Seo; Koun Sik Song; Suk-Ho Kang (Image Processing, 2007)

An automatic method for fast and accurate liver segmentation in CT images using a shape detection level set method. - Jeongjin Lee; Namkug Kim; Ho Lee 001; Joon Beom Seo; Hyung Jin Won; Yong Moon Shin; Yeong-Gil Shin (Image Processing, 2007)

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. - Youngjoo Lee; Namkug Kim; Joon Beom Seo; June-Goo Lee; Suk-Ho Kang (Image Processing, 2007)

Performance comparison of classifiers for differentiation among obstructive lung diseases based on features of texture analysis at HRCT. - Youngjoo Lee; Joon Beom Seo; Bokyoung Kang; Dongil Kim; June-Goo Lee; Song Soo Kim; Namkug Kim; Suk-Ho Kang (Image Processing, 2007)

Efficient liver segmentation using a level-set method with optimal detection of the initial liver boundary from level-set speed images. - Jeongjin Lee; Namkug Kim; Ho Lee 001; Joon Beom Seo; Hyung Jin Won; Yong Moon Shin; Yeong-Gil Shin; Soo-Hong Kim (Comput. Methods Programs Biomed., 2007)

Effect of various binning methods and ROI sizes on the accuracy of the automatic classification system for differentiation between diffuse infiltrative lung diseases on the basis of texture features at HRCT. - Namkug Kim; Joon Beom Seo; Yu Sub Sung; Bum-Woo Park; Youngjoo Lee; Seong Hoon Park; Young Kyung Lee; Suk-Ho Kang (Image Processing, 2008)

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. - Namkug Kim; Joon Beom Seo; Sang Ok Park; Youngjoo Lee; Jeongjin Lee (Computer-Aided Diagnosis, 2009)

Improvement of computational efficiency using a cascade classification scheme for the classification of diffuse infiltrative lung disease on HRCT. - Youngjoo Lee; Namkug Kim; Joon Beom Seo; Sang Ok Park; Young Kyung Lee; Suk-Ho Kang (Computer-Aided Diagnosis, 2009)

Novel level-set based segmentation method of the lung at HRCT images of diffuse interstitial lung disease (DILD). - Jeongjin Lee; Joon Beom Seo; Namkug Kim; Sang Ok Park; Ho Lee 001; Yeong-Gil Shin; Soo-Hong Kim (Image Processing, 2009)

Correction of lung boundary using the gradient and intensity distribution. - Yeny Yim; Helen Hong; Joon Beom Seo; Namkug Kim; Eun Jin Chae; Yeong-Gil Shin (Comput. Biol. Medicine, 2009)

Performance testing of several classifiers for differentiating obstructive lung diseases based on texture analysis at high-resolution computerized tomography (HRCT). - Youngjoo Lee; Joon Beom Seo; June-Goo Lee; Song Soo Kim; Namkug Kim; Suk-Ho Kang (Comput. Methods Programs Biomed., 2009)

Development of an Automatic Classification System for Differentiation of Obstructive Lung Disease using HRCT. - Namkug Kim; Joon Beom Seo; Youngjoo Lee; June-Goo Lee; Song Soo Kim; Suk-Ho Kang (J. Digit. Imaging, 2009)

Regional Context-Sensitive Support Vector Machine Classifier to Improve Automated Identification of Regional Patterns of Diffuse Interstitial Lung Disease. - Jonghyuck Lim; Namkug Kim; Joon Beom Seo; Young Kyung Lee; Youngjoo Lee; Suk-Ho Kang (J. Digit. Imaging, 2011)

Fast and efficient lung disease classification using hierarchical one-against-all support vector machine and cost-sensitive feature selection. - Yongjun Chang; Namkug Kim; Youngjoo Lee; Jonghyuck Lim; Joon Beom Seo; Young Kyung Lee (Comput. Biol. Medicine, 2012)

Corrigendum to "Fast and efficient lung disease classification using hierarchical one-against-all support vector machine and cost-sensitive feature selection" [Comput. Biol. Med 42 (2012) 1157-1164]. - Youngjoo Lee; Yongjun Chang; Namkug Kim; Jonghyuck Lim; Joon Beom Seo; Young Kyung Lee (Comput. Biol. Medicine, 2013)

Automatic Left and Right Lung Separation Using Free-Formed Surface Fitting on Volumetric CT. - Younjoo Lee; Minho Lee; Namkug Kim; Joon Beom Seo; Joo Young Park (J. Digit. Imaging, 2014)

Size-based emphysema cluster analysis on low attenuation area in 3D volumetric CT: comparison with pulmonary functional test. - Minho Lee; Namkug Kim; SangMin Lee 013; Joon Beom Seo; Sang Young Oh (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

An Ensemble Method for Classifying Regional Disease Patterns of Diffuse Interstitial Lung Disease Using HRCT Images from Different Vendors. - Sanghoon Jun; Namkug Kim; Joon Beom Seo; Young Kyung Lee; David A. Lynch (J. Digit. Imaging, 2017)

False Positive Reduction by Actively Mining Negative Samples for Pulmonary Nodule Detection in Chest Radiographs. - Sejin Park; Woochan Hwang; Kyu-Hwan Jung; Joon Beom Seo; Namkug Kim (CoRR, 2018)

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. - Sanghoon Jun; BeomHee Park; Joon Beom Seo; SangMin Lee 013; Namkug Kim (J. Digit. Imaging, 2018)

Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease. - Guk Bae Kim; Kyu-Hwan Jung; Yeha Lee; Hyun-Jun Kim; Namkug Kim; Sanghoon Jun; Joon Beom Seo; David A. Lynch (J. Digit. Imaging, 2018)

Hybrid Airway Segmentation Using Multi-Scale Tubular Structure Filters and Texture Analysis on 3D Chest CT Scans. - Minho Lee; June-Goo Lee; Namkug Kim; Joon Beom Seo; Sang Min Lee 013 (J. Digit. Imaging, 2019)

Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks. - BeomHee Park; Heejun Park; Sang Min Lee 013; Joon Beom Seo; Namkug Kim (J. Digit. Imaging, 2019)

Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net. - Jihye Yun; Jinkon Park; Donghoon Yu; Jaeyoun Yi; Minho Lee; Hee Jun Park; June-Goo Lee; Joon Beom Seo; Namkug Kim (Medical Image Anal., 2019)

CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernels. - Da-in Eun; Ilsang Woo; BeomHee Park; Namkug Kim; Sang Min Lee 013; Joon Beom Seo (Comput. Methods Programs Biomed., 2020)

Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets. - Jongha Park; Jihye Yun; Namkug Kim; BeomHee Park; Yongwon Cho; Hee Jun Park; Mijeong Song; Minho Lee; Joon Beom Seo (J. Digit. Imaging, 2020)

Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs. - Yongwon Cho; BeomHee Park; Sang Min Lee 013; Kyung Hee Lee; Joon Beom Seo; Namkug Kim (Comput. Biol. Medicine, 2021)

Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus. - Sangjoon Park; Gwanghyun Kim; Yujin Oh; Joon Beom Seo; Sang Min Lee 017; Jin Hwan Kim; Sungjun Moon; Jae-Kwang Lim; Jong Chul Ye (CoRR, 2021)

Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer. - Gwanghyun Kim; Sangjoon Park; Yujin Oh; Joon Beom Seo; Sang Min Lee 017; Jin Hwan Kim; Sungjun Moon; Jae-Kwang Lim; Jong Chul Ye (CoRR, 2021)

Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification. - Sangjoon Park; Gwanghyun Kim; Yujin Oh; Joon Beom Seo; Sang Min Lee 017; Jin Hwan Kim; Sungjun Moon; Jae-Kwang Lim; Jong Chul Ye (CoRR, 2021)

Deep chest X-ray: Detection and classification of lesions based on deep convolutional neural networks. - Yongwon Cho; Sang Min Lee 013; Young-Hoon Cho; June-Goo Lee; BeomHee Park; Gaeun Lee; Namkug Kim; Joon Beom Seo (Int. J. Imaging Syst. Technol., 2021)

AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation. - Sangjoon Park; Gwanghyun Kim; Yujin Oh; Joon Beom Seo; Sang Min Lee 017; Jin Hwan Kim; Sungjun Moon; Jae-Kwang Lim; Chang Min Park; Jong Chul Ye (CoRR, 2022)

Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs. - Minki Chung; Seo Taek Kong; Beomhee Park; Younjoon Chung; Kyu-Hwan Jung; Joon Beom Seo (J. Digit. Imaging, 2022)

Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification. - Sangjoon Park; Gwanghyun Kim; Yujin Oh; Joon Beom Seo; Sang Min Lee 017; Jin Hwan Kim; Sungjun Moon; Jae-Kwang Lim; Jong Chul Ye (Medical Image Anal., 2022)

CheSS: Chest X-Ray Pre-trained Model via Self-supervised Contrastive Learning. - Kyungjin Cho; Ki Duk Kim; Yujin Nam; Jiheon Jeong; Jeeyoung Kim; Changyong Choi; Soyoung Lee; Jun Soo Lee; Seoyeon Woo; Gil-Sun Hong; Joon Beom Seo; Namkug Kim (J. Digit. Imaging, 2023)

MuSiC-ViT: A multi-task Siamese convolutional vision transformer for differentiating change from no-change in follow-up chest radiographs. - Kyungjin Cho; Jeeyoung Kim; Ki Duk Kim; Seungju Park; Junsik Kim; Jihye Yun; Yura Ahn; Sang Young Oh; Sang Min Lee 013; Joon Beom Seo; Namkug Kim (Medical Image Anal., 2023)

Enhancement of Semantic Segmentation by Image-Level Fine-Tuning to Overcome Image Pattern Imbalance in HRCT of Diffuse Infiltrative Lung Diseases. - Sungwon Ham; Beomhee Park; Jihye Yun; Sang Min Lee 013; Joon Beom Seo; Namkug Kim (Int. J. Imaging Syst. Technol., 2024)