Joon Beom Seo

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 19

Top Topics

Convolutional Neural Networks

Negative Samples

Top Venues

J. Digit. Imaging

Medical Image Anal.

Comput. Biol. Medicine

Publications

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
MuSiC-ViT: A multi-task Siamese convolutional vision transformer for differentiating change from no-change in follow-up chest radiographs. Medical Image Anal. 89 (2023)
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
CheSS: Chest X-Ray Pre-trained Model via Self-supervised Contrastive Learning. J. Digit. Imaging 36 (3) (2023)
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
AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation. CoRR (2022)
Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye
Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification. Medical Image Anal. 75 (2022)
Minki Chung, Seo Taek Kong, Beomhee Park, Younjoon Chung, Kyu-Hwan Jung, Joon Beom Seo
Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs. J. Digit. Imaging 35 (4) (2022)
Yongwon Cho, Sang Min Lee, Young-Hoon Cho, June-Goo Lee, BeomHee Park, Gaeun Lee, Namkug Kim, Joon Beom Seo
Deep chest X-ray: Detection and classification of lesions based on deep convolutional neural networks. Int. J. Imaging Syst. Technol. 31 (1) (2021)
Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification. CoRR (2021)
Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye
Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus. CoRR (2021)
Gwanghyun Kim, Sangjoon Park, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye
Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer. CoRR (2021)
Yongwon Cho, BeomHee Park, Sang Min Lee, Kyung Hee Lee, Joon Beom Seo, Namkug Kim
Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs. Comput. Biol. Medicine 136 (2021)
Da-in Eun, Ilsang Woo, BeomHee Park, Namkug Kim, Sang Min Lee, Joon Beom Seo
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. 196 (2020)
Jongha Park, Jihye Yun, Namkug Kim, BeomHee Park, Yongwon Cho, Hee Jun Park, Mijeong Song, Minho Lee, Joon Beom Seo
Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets. J. Digit. Imaging 33 (1) (2020)
BeomHee Park, Heejun Park, Sang Min Lee, Joon Beom Seo, Namkug Kim
Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks. J. Digit. Imaging 32 (6) (2019)
Jihye Yun, Jinkon Park, Donghoon Yu, Jaeyoun Yi, Minho Lee, Hee Jun Park, June-Goo Lee, Joon Beom Seo, Namkug Kim
Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net. Medical Image Anal. 51 (2019)
Minho Lee, June-Goo Lee, Namkug Kim, Joon Beom Seo, Sang Min Lee
Hybrid Airway Segmentation Using Multi-Scale Tubular Structure Filters and Texture Analysis on 3D Chest CT Scans. J. Digit. Imaging 32 (5) (2019)
Guk Bae Kim, Kyu-Hwan Jung, Yeha Lee, Hyun-Jun Kim, Namkug Kim, Sanghoon Jun, Joon Beom Seo, David A. Lynch
Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease. J. Digit. Imaging 31 (4) (2018)
Sejin Park, Woochan Hwang, Kyu-Hwan Jung, Joon Beom Seo, Namkug Kim
False Positive Reduction by Actively Mining Negative Samples for Pulmonary Nodule Detection in Chest Radiographs. CoRR (2018)
Sanghoon Jun, BeomHee Park, Joon Beom Seo, SangMin Lee, Namkug Kim
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 31 (2) (2018)
Sanghoon Jun, Namkug Kim, Joon Beom Seo, Young Kyung Lee, David A. Lynch
An Ensemble Method for Classifying Regional Disease Patterns of Diffuse Interstitial Lung Disease Using HRCT Images from Different Vendors. J. Digit. Imaging 30 (6) (2017)
Minho Lee, Namkug Kim, SangMin Lee, Joon Beom Seo, Sang Young Oh
Size-based emphysema cluster analysis on low attenuation area in 3D volumetric CT: comparison with pulmonary functional test. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2015)
Younjoo Lee, Minho Lee, Namkug Kim, Joon Beom Seo, Joo Young Park
Automatic Left and Right Lung Separation Using Free-Formed Surface Fitting on Volumetric CT. J. Digit. Imaging 27 (4) (2014)
Youngjoo Lee, Yongjun Chang, Namkug Kim, Jonghyuck Lim, Joon Beom Seo, Young Kyung Lee
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 43 (8) (2013)
Yongjun Chang, Namkug Kim, Youngjoo Lee, Jonghyuck Lim, Joon Beom Seo, Young Kyung Lee
Fast and efficient lung disease classification using hierarchical one-against-all support vector machine and cost-sensitive feature selection. Comput. Biol. Medicine 42 (12) (2012)
Jonghyuck Lim, Namkug Kim, Joon Beom Seo, Young Kyung Lee, Youngjoo Lee, Suk-Ho Kang
Regional Context-Sensitive Support Vector Machine Classifier to Improve Automated Identification of Regional Patterns of Diffuse Interstitial Lung Disease. J. Digit. Imaging 24 (6) (2011)
Namkug Kim, Joon Beom Seo, Sang Ok Park, Youngjoo Lee, Jeongjin Lee
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. Medical Imaging: Computer-Aided Diagnosis (2009)
Namkug Kim, Joon Beom Seo, Youngjoo Lee, June-Goo Lee, Song Soo Kim, Suk-Ho Kang
Development of an Automatic Classification System for Differentiation of Obstructive Lung Disease using HRCT. J. Digit. Imaging 22 (2) (2009)
Yeny Yim, Helen Hong, Joon Beom Seo, Namkug Kim, Eun Jin Chae, Yeong-Gil Shin
Correction of lung boundary using the gradient and intensity distribution. Comput. Biol. Medicine 39 (3) (2009)
Youngjoo Lee, Namkug Kim, Joon Beom Seo, Sang Ok Park, Young Kyung Lee, Suk-Ho Kang
Improvement of computational efficiency using a cascade classification scheme for the classification of diffuse infiltrative lung disease on HRCT. Medical Imaging: Computer-Aided Diagnosis (2009)
Jeongjin Lee, Joon Beom Seo, Namkug Kim, Sang Ok Park, Ho Lee, Yeong-Gil Shin, Soo-Hong Kim
Novel level-set based segmentation method of the lung at HRCT images of diffuse interstitial lung disease (DILD). Medical Imaging: Image Processing (2009)
Youngjoo Lee, Joon Beom Seo, June-Goo Lee, Song Soo Kim, Namkug Kim, Suk-Ho Kang
Performance testing of several classifiers for differentiating obstructive lung diseases based on texture analysis at high-resolution computerized tomography (HRCT). Comput. Methods Programs Biomed. 93 (2) (2009)
Namkug Kim, Joon Beom Seo, Yu Sub Sung, Bum-Woo Park, Youngjoo Lee, Seong Hoon Park, Young Kyung Lee, Suk-Ho Kang
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. Medical Imaging: Image Processing (2008)
Namkug Kim, Joon Beom Seo, Jeong Nam Heo, Suk-Ho Kang
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. Medical Imaging: Image Processing (2007)
Youngjoo Lee, Joon Beom Seo, Bokyoung Kang, Dongil Kim, June-Goo Lee, Song Soo Kim, Namkug Kim, Suk-Ho Kang
Performance comparison of classifiers for differentiation among obstructive lung diseases based on features of texture analysis at HRCT. Medical Imaging: Image Processing (2007)
Jeongjin Lee, Namkug Kim, Ho Lee, Joon Beom Seo, Hyung Jin Won, Yong Moon Shin, Yeong-Gil Shin, Soo-Hong Kim
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. 88 (1) (2007)
Namkug Kim, Joon Beom Seo, Koun Sik Song, Suk-Ho Kang
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. Medical Imaging: Image Processing (2007)
Youngjoo Lee, Namkug Kim, Joon Beom Seo, June-Goo Lee, Suk-Ho Kang
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. Medical Imaging: Image Processing (2007)
Jeongjin Lee, Namkug Kim, Ho Lee, Joon Beom Seo, Hyung Jin Won, Yong Moon Shin, Yeong-Gil Shin
An automatic method for fast and accurate liver segmentation in CT images using a shape detection level set method. Medical Imaging: Image Processing (2007)