Joon Beom Seo
Orcid: 0000-0003-0271-7884
According to our database1,
Joon Beom Seo
authored at least 37 papers
between 2007 and 2023.
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Bibliography
2023
MuSiC-ViT: A multi-task Siamese convolutional vision transformer for differentiating change from no-change in follow-up chest radiographs.
Medical Image Anal., October, 2023
J. Digit. Imaging, June, 2023
2022
Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification.
Medical Image Anal., 2022
J. Digit. Imaging, 2022
AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation.
CoRR, 2022
2021
Deep chest X-ray: Detection and classification of lesions based on deep convolutional neural networks.
Int. J. Imaging Syst. Technol., 2021
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification.
CoRR, 2021
Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer.
CoRR, 2021
CoRR, 2021
Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs.
Comput. Biol. Medicine, 2021
2020
Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets.
J. Digit. Imaging, 2020
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., 2020
2019
Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net.
Medical Image Anal., 2019
Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks.
J. Digit. Imaging, 2019
Hybrid Airway Segmentation Using Multi-Scale Tubular Structure Filters and Texture Analysis on 3D Chest CT Scans.
J. Digit. Imaging, 2019
2018
Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease.
J. Digit. Imaging, 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.
J. Digit. Imaging, 2018
False Positive Reduction by Actively Mining Negative Samples for Pulmonary Nodule Detection in Chest Radiographs.
CoRR, 2018
2017
An Ensemble Method for Classifying Regional Disease Patterns of Diffuse Interstitial Lung Disease Using HRCT Images from Different Vendors.
J. Digit. Imaging, 2017
2015
Size-based emphysema cluster analysis on low attenuation area in 3D volumetric CT: comparison with pulmonary functional test.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
2014
Automatic Left and Right Lung Separation Using Free-Formed Surface Fitting on Volumetric CT.
J. Digit. Imaging, 2014
2013
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, 2013
2012
Fast and efficient lung disease classification using hierarchical one-against-all support vector machine and cost-sensitive feature selection.
Comput. Biol. Medicine, 2012
2011
Regional Context-Sensitive Support Vector Machine Classifier to Improve Automated Identification of Regional Patterns of Diffuse Interstitial Lung Disease.
J. Digit. Imaging, 2011
2009
Development of an Automatic Classification System for Differentiation of Obstructive Lung Disease using HRCT.
J. Digit. Imaging, 2009
Performance testing of several classifiers for differentiating obstructive lung diseases based on texture analysis at high-resolution computerized tomography (HRCT).
Comput. Methods Programs Biomed., 2009
Comput. Biol. Medicine, 2009
Novel level-set based segmentation method of the lung at HRCT images of diffuse interstitial lung disease (DILD).
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Improvement of computational efficiency using a cascade classification scheme for the classification of diffuse infiltrative lung disease on HRCT.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
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.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2008
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.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
2007
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., 2007
Performance comparison of classifiers for differentiation among obstructive lung diseases based on features of texture analysis at HRCT.
Proceedings of the Medical Imaging 2007: 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.
Proceedings of the Medical Imaging 2007: Image Processing, 2007
An automatic method for fast and accurate liver segmentation in CT images using a shape detection level set method.
Proceedings of the Medical Imaging 2007: 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.
Proceedings of the Medical Imaging 2007: Image Processing, 2007
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.
Proceedings of the Medical Imaging 2007: Image Processing, 2007