Joon Beom Seo

40 papers B 7Journal 30Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Screening Patient Misidentification Errors Using a Deep Learning Model of Chest Radiography: A Seven Reader Study.
J. Imaging Inform. Medicine
Kiduk Kim, Kyungjin Cho, Yujeong Eo, Jeeyoung Kim, Jihye Yun, Yura Ahn, Joon Beom Seo, Gil-Sun Hong, Namkug Kim
2024 J jnl
Approximating Intermediate Feature Maps of Self-Supervised Convolution Neural Network to Learn Hard Positive Representations in Chest Radiography.
J. Imaging Inform. Medicine
Kyungjin Cho, Ki Duk Kim, Jiheon Jeong, Yujin Nam, Jeeyoung Kim, Changyong Choi, Soyoung Lee, Gil-Sun Hong, Joon Beom Seo, Namkug Kim
2024 J jnl
Enhancement of Semantic Segmentation by Image-Level Fine-Tuning to Overcome Image Pattern Imbalance in HRCT of Diffuse Infiltrative Lung Diseases.
Int. J. Imaging Syst. Technol.
Sungwon Ham, BeomHee Park, Jihye Yun, Sang Min Lee, Joon Beom Seo, Namkug Kim
2023 J jnl
CheSS: Chest X-Ray Pre-trained Model via Self-supervised Contrastive Learning.
J. Digit. Imaging
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
2023 J jnl
MuSiC-ViT: A multi-task Siamese convolutional vision transformer for differentiating change from no-change in follow-up chest radiographs.
Medical Image Anal.
Kyungjin Cho, Jeeyoung Kim, Ki Duk Kim, Seungju Park, Junsik Kim, Jihye Yun, Yura Ahn, Sang Young Oh, Sang Min Lee, Joon Beom Seo, Namkug Kim
2022 J jnl
AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation.
CoRR
Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Chang Min Park, Jong Chul Ye
2022 J jnl
Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification.
Medical Image Anal.
Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye
2022 J jnl
Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs.
J. Digit. Imaging
Minki Chung, Seo Taek Kong, BeomHee Park, Younjoon Chung, Kyu-Hwan Jung, Joon Beom Seo
2021 J jnl
Deep chest X-ray: Detection and classification of lesions based on deep convolutional neural networks.
Int. J. Imaging Syst. Technol.
Yongwon Cho, Sang Min Lee, Young-Hoon Cho, June-Goo Lee, BeomHee Park, Gaeun Lee, Namkug Kim, Joon Beom Seo
2021 J jnl
Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs.
Comput. Biol. Medicine
Yongwon Cho, BeomHee Park, Sang Min Lee, Kyung Hee Lee, Joon Beom Seo, Namkug Kim
2021 J jnl
Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer.
CoRR
Gwanghyun Kim, Sangjoon Park, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye
2021 J jnl
Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus.
CoRR
Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye
2021 J jnl
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification.
CoRR
Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye
2020 J jnl
CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernels.
Comput. Methods Programs Biomed.
Da-in Eun, Ilsang Woo, BeomHee Park, Namkug Kim, Sang Min Lee, Joon Beom Seo
2020 J jnl
Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets.
J. Digit. Imaging
Jongha Park, Jihye Yun, Namkug Kim, BeomHee Park, Yongwon Cho, Hee Jun Park, Mijeong Song, Minho Lee, Joon Beom Seo
2019 J jnl
Hybrid Airway Segmentation Using Multi-Scale Tubular Structure Filters and Texture Analysis on 3D Chest CT Scans.
J. Digit. Imaging
Minho Lee, June-Goo Lee, Namkug Kim, Joon Beom Seo, Sang Min Lee
2019 J jnl
Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net.
Medical Image Anal.
Jihye Yun, Jinkon Park, Donghoon Yu, Jaeyoun Yi, Minho Lee, Hee Jun Park, June-Goo Lee, Joon Beom Seo, Namkug Kim
2019 J jnl
Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks.
J. Digit. Imaging
BeomHee Park, Heejun Park, Sang Min Lee, Joon Beom Seo, Namkug Kim
2018 J jnl
Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease.
J. Digit. Imaging
Guk Bae Kim, Kyu-Hwan Jung, Yeha Lee, Hyun-Jun Kim, Namkug Kim, Sanghoon Jun, Joon Beom Seo, David A. Lynch
2018 J jnl
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.
J. Digit. Imaging
Sanghoon Jun, BeomHee Park, Joon Beom Seo, SangMin Lee, Namkug Kim
2018 J jnl
False Positive Reduction by Actively Mining Negative Samples for Pulmonary Nodule Detection in Chest Radiographs.
CoRR
Sejin Park, Woochan Hwang, Kyu-Hwan Jung, Joon Beom Seo, Namkug Kim
2017 J jnl
An Ensemble Method for Classifying Regional Disease Patterns of Diffuse Interstitial Lung Disease Using HRCT Images from Different Vendors.
J. Digit. Imaging
Sanghoon Jun, Namkug Kim, Joon Beom Seo, Young Kyung Lee, David A. Lynch
2015 — conf
Size-based emphysema cluster analysis on low attenuation area in 3D volumetric CT: comparison with pulmonary functional test.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Minho Lee, Namkug Kim, SangMin Lee, Joon Beom Seo, Sang Young Oh
2014 J jnl
Automatic Left and Right Lung Separation Using Free-Formed Surface Fitting on Volumetric CT.
J. Digit. Imaging
Younjoo Lee, Minho Lee, Namkug Kim, Joon Beom Seo, Joo Young Park
2013 J jnl
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].
Comput. Biol. Medicine
Youngjoo Lee, Yongjun Chang, Namkug Kim, Jonghyuck Lim, Joon Beom Seo, Young Kyung Lee
2012 J jnl
Fast and efficient lung disease classification using hierarchical one-against-all support vector machine and cost-sensitive feature selection.
Comput. Biol. Medicine
Yongjun Chang, Namkug Kim, Youngjoo Lee, Jonghyuck Lim, Joon Beom Seo, Young Kyung Lee
2011 J jnl
Regional Context-Sensitive Support Vector Machine Classifier to Improve Automated Identification of Regional Patterns of Diffuse Interstitial Lung Disease.
J. Digit. Imaging
Jonghyuck Lim, Namkug Kim, Joon Beom Seo, Young Kyung Lee, Youngjoo Lee, Suk-Ho Kang
2009 — conf
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.
Computer-Aided Diagnosis
Namkug Kim, Joon Beom Seo, Sang Ok Park, Youngjoo Lee, Jeongjin Lee
2009 J jnl
Correction of lung boundary using the gradient and intensity distribution.
Comput. Biol. Medicine
Yeny Yim, Helen Hong, Joon Beom Seo, Namkug Kim, Eun Jin Chae, Yeong-Gil Shin
2009 J jnl
Development of an Automatic Classification System for Differentiation of Obstructive Lung Disease using HRCT.
J. Digit. Imaging
Namkug Kim, Joon Beom Seo, Youngjoo Lee, June-Goo Lee, Song Soo Kim, Suk-Ho Kang
2009 — conf
Improvement of computational efficiency using a cascade classification scheme for the classification of diffuse infiltrative lung disease on HRCT.
Computer-Aided Diagnosis
Youngjoo Lee, Namkug Kim, Joon Beom Seo, Sang Ok Park, Young Kyung Lee, Suk-Ho Kang
2009 B conf
Novel level-set based segmentation method of the lung at HRCT images of diffuse interstitial lung disease (DILD).
Image Processing
Jeongjin Lee, Joon Beom Seo, Namkug Kim, Sang Ok Park, Ho Lee, Yeong-Gil Shin, Soo-Hong Kim
2009 J jnl
Performance testing of several classifiers for differentiating obstructive lung diseases based on texture analysis at high-resolution computerized tomography (HRCT).
Comput. Methods Programs Biomed.
Youngjoo Lee, Joon Beom Seo, June-Goo Lee, Song Soo Kim, Namkug Kim, Suk-Ho Kang
2008 B conf
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.
Image Processing
Namkug Kim, Joon Beom Seo, Yu Sub Sung, Bum-Woo Park, Youngjoo Lee, Seong Hoon Park, Young Kyung Lee, Suk-Ho Kang
2007 B conf
An automatic method for fast and accurate liver segmentation in CT images using a shape detection level set method.
Image Processing
Jeongjin Lee, Namkug Kim, Ho Lee, Joon Beom Seo, Hyung Jin Won, Yong Moon Shin, Yeong-Gil Shin
2007 B conf
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.
Image Processing
Namkug Kim, Joon Beom Seo, Jeong Nam Heo, Suk-Ho Kang
2007 B conf
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.
Image Processing
Namkug Kim, Joon Beom Seo, Koun Sik Song, Suk-Ho Kang
2007 J jnl
Efficient liver segmentation using a level-set method with optimal detection of the initial liver boundary from level-set speed images.
Comput. Methods Programs Biomed.
Jeongjin Lee, Namkug Kim, Ho Lee, Joon Beom Seo, Hyung Jin Won, Yong Moon Shin, Yeong-Gil Shin, Soo-Hong Kim
2007 B conf
Performance comparison of classifiers for differentiation among obstructive lung diseases based on features of texture analysis at HRCT.
Image Processing
Youngjoo Lee, Joon Beom Seo, Bokyoung Kang, Dongil Kim, June-Goo Lee, Song Soo Kim, Namkug Kim, Suk-Ho Kang
2007 B conf
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.
Image Processing
Youngjoo Lee, Namkug Kim, Joon Beom Seo, June-Goo Lee, Suk-Ho Kang