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)

Development of a robust and cost-effective 3D respiratory motion monitoring system using the kinect device: Accuracy comparison with the conventional stereovision navigation system. - Myungsoo Bae; SangMin Lee 013; Namkug Kim (Comput. Methods Programs Biomed., 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)

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)

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)

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)

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)

Enhancing deep learning based classifiers with inpainting anatomical side markers (L/R markers) for multi-center trials. - Ki Duk Kim; Kyungjin Cho; Mingyu Kim 004; Kyung Hwa Lee; Seungjun Lee; Sang Min Lee 013; Kyung Hee Lee; Namkug Kim (Comput. Methods Programs Biomed., 2022)

CT Kernel Conversion Using Multi-domain Image-to-Image Translation with Generator-Guided Contrastive Learning. - Changyong Choi; Jiheon Jeong; Sangyoon Lee 008; Sang Min Lee 013; Namkug Kim (MICCAI (10), 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)