Namkug Kim - RankMe

93 papers B 8C 1Misc 1Journal 73Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A 3D self-configuring hybrid transformer with multi-task learning for 3D automated breast ultrasound segmentation. Comput. Biol. Medicine Hyunsu Jeong, Chiho Yoon, Hyunseok Lim, JongJun Won, Kiduk Kim, Gongning Luo, Mingwang Xu, Namkug Kim, Chulhong Kim
2025	J	`jnl`	Deep Learning Analysis of White Matter Hyperintensity and its Association with Comprehensive Vascular Factors in Two Large General Populations. J. Imaging Inform. Medicine Grace Yoojin Lee, Yun Ho Choi, Dongwon Kim, Miso Jang, Hong-Kyu Kim, Hyo-Jung Nam, Sungwon Park, Mi Jung Kim, Yoon Ho Hwang, Seung Ku Lee, Chol Shin, Namkug Kim
2025	J	`jnl`	Deep Learning-Based Prediction of Post-treatment Survival in Hepatocellular Carcinoma Patients Using Pre-treatment CT Images and Clinical Data. J. Imaging Inform. Medicine Kyung Hwa Lee, Jungwook Lee, Gwang Hyeon Choi, Jihye Yun, Jiseon Kang, Jonggi Choi, Kang Mo Kim, Namkug Kim
2025	J	`jnl`	Detection of neonatal pneumoperitoneum on radiographs using deep multi-task learning. Comput. Biol. Medicine Changhyun Park, Jinwha Choi, Jisun Hwang, Hana Jeong, Pyeong Hwa Kim, Young Ah Cho, Byong Sop Lee, Euiseok Jung, Se Hwa Kwon, Minsung Kim, Haesung Jun, Yoojin Nam, Namkug Kim, Hee Mang Yoon
2025	J	`jnl`	Enhancing Cricothyroidotomy Training for Novices Using Three-Dimensional-Printed Patient-Specific Models of a Patient with Obesity. J. Medical Syst. Jaeeun Song, Junhyeok Ock, Wook-Jong Kim, Yong-Seok Park, Namkug Kim, Sung-Hoon Kim
2025	J	`jnl`	Generative Adversarial Network With Robust Discriminator Through Multi-Task Learning for Low-Dose CT Denoising. IEEE Trans. Medical Imaging Sunggu Kyung, JongJun Won, Seongyong Pak, Sunwoo Kim, Sangyoon Lee, Kanggil Park, Gil-Sun Hong, Namkug Kim
2025	—	`conf`	Generative Unsupervised Anomaly Detection with Coarse-Fine Ensemble for Workload Reduction in 3D Non-contrast Brain CT of Emergency Room. MICCAI (3) JongJun Won, Jihwan Kim, Joonseo Oh, Yereen Yoo, Jieun Yum, Joonsang Lee, Joon hyung Park, Wooyoung Jo, Yoojin Nam, Hyunki Lee, Gil-Sun Hong, Namkug Kim
2025	J	`jnl`	KC-UNIT: Multi-kernel conversion using unpaired image-to-image translation with perceptual guidance in chest computed tomography imaging. Comput. Biol. Medicine Changyong Choi, Doa Kim, Seungjoo Park, Hyunki Lee, Hyunwook Kim, Sang Min Lee, Namkug Kim
2025	J	`jnl`	MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports. CoRR Sunggu Kyung, Hyungbin Park, Jinyoung Seo, Jimin Sung, Jihyun Kim, Dongyeong Kim, Wooyoung Jo, Yoojin Nam, Sangah Park, Taehee Kwon, Sang Min Lee, Namkug Kim
2025	J	`jnl`	MedRegion-CT: Region-Focused Multimodal LLM for Comprehensive 3D CT Report Generation. CoRR Sunggu Kyung, Jinyoung Seo, Hyunseok Lim, Dongyeong Kim, Hyungbin Park, Jimin Sung, Jihyun Kim, Wooyoung Jo, Yoojin Nam, Namkug Kim
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`	Attentional decoder networks for chest X-ray image recognition on high-resolution features. Comput. Methods Programs Biomed. Hankyul Kang, Namkug Kim, Jongbin Ryu
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
2024	J	`jnl`	Evaluation of the accuracy of an augmented reality-based tumor-targeting guide for breast-conserving surgery. Comput. Methods Programs Biomed. Junhyeok Ock, Sojin Moon, Minkyeong Kim, Beom-Seok Ko, Namkug Kim
2024	J	`jnl`	Machine learning-based clinical decision support system for treatment recommendation and overall survival prediction of hepatocellular carcinoma: a multi-center study. npj Digit. Medicine Kyung Hwa Lee, Gwang Hyeon Choi, Jihye Yun, Jonggi Choi, Myung Ji Goh, Dong Hyun Sinn, Young Joo Jin, Minseok Albert Kim, Su Jong Yu, Sangmi Jang, Soon Kyu Lee, Jeong Won Jang, Jae Seung Lee, Do Young Kim, Young Youn Cho, Hyung Joon Kim, Sehwa Kim, Ji Hoon Kim, Namkug Kim, Kang Mo Kim
2024	J	`jnl`	Morphological Complexity of Intrapapillary Capillary Loops for Predicting the Invasion Depth of Superficial Esophageal Neoplasms Using Narrow-Band Imaging. Int. J. Imaging Syst. Technol. Jeongeun Hwang, Hyungchul Park, Jooyoung Park, Do Hoon Kim, Namkug Kim
2024	J	`jnl`	Robust Ensemble of Two Different Multimodal Approaches to Segment 3D Ischemic Stroke Segmentation Using Brain Tumor Representation Among Multiple Center Datasets. J. Imaging Inform. Medicine Hyunsu Jeong, Hyunseok Lim, Chiho Yoon, JongJun Won, Grace Yoojin Lee, Ezequiel de la Rosa, Jan S. Kirschke, Bumjoon Kim, Namkug Kim, Chulhong Kim
2023	J	`jnl`	An Image Turing Test on Realistic Gastroscopy Images Generated by Using the Progressive Growing of Generative Adversarial Networks. J. Digit. Imaging Keewon Shin, Jung Su Lee, Ji Young Lee, Hyunsu Lee, Jeongseok Kim, Jeong-Sik Byeon, Hwoon-Yong Jung, Do Hoon Kim, Namkug Kim
2023	J	`jnl`	An interactive and realistic phantom for cricothyroidotomy simulation of a patient with obesity through a reusable design using 3D-printing and Arduino. Comput. Methods Programs Biomed. Junhyeok Ock, Dayeong Hong, Sojin Moon, Yong-Seok Park, Dong-Woo Seo, Joo Heung Yoon, Sung-Hoon Kim, Namkug Kim
2023	—	`conf`	CT Kernel Conversion Using Multi-domain Image-to-Image Translation with Generator-Guided Contrastive Learning. MICCAI (10) Changyong Choi, Jiheon Jeong, Sangyoon Lee, Sang Min Lee, 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`	Enhancement of Non-Linear Deep Learning Model by Adjusting Confounding Variables for Bone Age Estimation in Pediatric Hand X-rays. J. Imaging Inform. Medicine Ki Duk Kim, Sunggu Kyung, Miso Jang, Sunghwan Ji, Dong Hee Lee, Hee Mang Yoon, Namkug Kim
2023	J	`jnl`	Enhancing the performance of premature ventricular contraction detection in unseen datasets through deep learning with denoise and contrast attention module. Comput. Biol. Medicine Keewon Shin, Hyunjung Kim, Woo-Young Seo, Hyun-Seok Kim, Jae-Man Shin, Dong-Kyu Kim, Yong-Seok Park, Sung-Hoon Kim, Namkug Kim
2023	—	`conf`	Generating High-Resolution 3D CT with 12-Bit Depth Using a Diffusion Model with Adjacent Slice and Intensity Calibration Network. MICCAI (10) Jiheon Jeong, Ki Duk Kim, Yujin Nam, Kyungjin Cho, Jiseon Kang, Gil-Sun Hong, 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
2023	J	`jnl`	Orthognathic surgical planning using graph CNN with dual embedding module: External validations with multi-hospital datasets. Comput. Methods Programs Biomed. In-Hwan Kim, Junsik Kim, Jiheon Jeong, Jae-Woo Park, Kanggil Park, Jin-Hyoung Cho, Mihee Hong, Kyung-Hwa Kang, Minji Kim, Su-Jung Kim, Yoon-Ji Kim, Sang-Jin Sung, Young Ho Kim, Sung-Hoon Lim, Seung-Hak Baek, Namkug Kim
2023	J	`jnl`	Stain normalization using score-based diffusion model through stain separation and overlapped moving window patch strategies. Comput. Biol. Medicine Jiheon Jeong, Ki Duk Kim, Yujin Nam, Cristina Eunbee Cho, Heounjeong Go, Namkug Kim
2022	J	`jnl`	Automated landmark identification for diagnosis of the deformity using a cascade convolutional neural network (FlatNet) on weight-bearing lateral radiographs of the foot. Comput. Biol. Medicine Seung Min Ryu, Keewon Shin, Soo Wung Shin, Sun Ho Lee, Su Min Seo, Seung-uk Cheon, Seung-Ah Ryu, Jun-Sik Kim, Sunghwan Ji, Namkug Kim
2022	J	`jnl`	Bone suppression on pediatric chest radiographs via a deep learning-based cascade model. Comput. Methods Programs Biomed. Kyungjin Cho, Jiyeon Seo, Sunggu Kyung, Mingyu Kim, Gil-Sun Hong, Namkug Kim
2022	J	`jnl`	Development of an automatic modeling method for patient-specific aortic graft reconstruction guide in thoracoabdominal aortic repair. Comput. Methods Programs Biomed. Taehun Kim, Dong Hyun Yang, Joon Bum Kim, Namkug Kim
2022	J	`jnl`	Enhancement of evaluating flatfoot on a weight-bearing lateral radiograph of the foot with U-Net based semantic segmentation on the long axis of tarsal and metatarsal bones in an active learning manner. Comput. Biol. Medicine Seung Min Ryu, Keewon Shin, Soo Wung Shin, Seungjun Lee, Namkug Kim
2022	J	`jnl`	Enhancing deep learning based classifiers with inpainting anatomical side markers (L/R markers) for multi-center trials. Comput. Methods Programs Biomed. Ki Duk Kim, Kyungjin Cho, Mingyu Kim, Kyung Hwa Lee, Seungjun Lee, Sang Min Lee, Kyung Hee Lee, Namkug Kim
2022	J	`jnl`	Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT. Medical Image Anal. Sunggu Kyung, Keewon Shin, Hyunsu Jeong, Ki Duk Kim, Jooyoung Park, Kyungjin Cho, Jeong Hyun Lee, Gil-Sun Hong, Namkug Kim
2022	—	`conf`	MTD-GAN: Multi-task Discriminator Based Generative Adversarial Networks for Low-Dose CT Denoising. MLMIR@MICCAI Sunggu Kyung, JongJun Won, Seongyong Pak, Gil-Sun Hong, Namkug Kim
2021	—	`conf`	A Semi-Supervised Learning Framework to Leverage Proxy Information for Stroke MRI Analysis. EMBC Jennifer Polson, Haoyue Zhang, Kambiz Nael, Noriko Salamon, Bryan Yoo, Namkug Kim, Dong-Wha Kang, William Speier, Corey W. Arnold
2021	J	`jnl`	A feasibility study of a portable intraoperative specimen imaging X-ray system based on carbon nanotube field emitters. Int. J. Imaging Syst. Technol. Amar Prasad Gupta, Seung Jun Yeo, Mallory Mativenga, Jaeik Jung, WooSeob Kim, Jongmin Lim, Junyoung Park, Jeung Sun Ahn, Seung Hoon Kim, Moon Shik Chae, Yeong Heum Yeon, Namkug Kim, Beom-Seok Ko, Jehwang Ryu
2021	J	`jnl`	Accuracy evaluation of a 3D printing surgical guide for breast-conserving surgery using a realistic breast phantom. Comput. Biol. Medicine Junhyeok Ock, Sangwook Lee, Taehun Kim, Dayeong Hong, Minkyeong Kim, Beom-Seok Ko, Namkug Kim
2021	J	`jnl`	Automatic tip detection of surgical instruments in biportal endoscopic spine surgery. Comput. Biol. Medicine Sue Min Cho, Young-Gon Kim, Jinhoon Jeong, Inhwan Kim, Ho-jin Lee, Namkug Kim
2021	J	`jnl`	Barcode Method for Generative Model Evaluation driven by Topological Data Analysis. CoRR Ryoungwoo Jang, Minjee Kim, Da-in Eun, Kyungjin Cho, Jiyeon Seo, Namkug Kim
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`	Fully automated estimation of arch forms in cone-beam CT with cubic B-spline approximation: Evaluation of digital dental models with missing teeth. Comput. Biol. Medicine Myungsoo Bae, Jae-Woo Park, Namkug Kim
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`	The Medical Segmentation Decathlon. CoRR Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso
2021	J	`jnl`	Video recognition of simple mastoidectomy using convolutional neural networks: Detection and segmentation of surgical tools and anatomical regions. Comput. Methods Programs Biomed. Joonmyeong Choi, Sungman Cho, Jong Woo Chung, Namkug Kim
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`	Enhancement of surgical hand gesture recognition using a capsule network for a contactless interface in the operating room. Comput. Methods Programs Biomed. Areum Lee, Yongwon Cho, Seongho Jin, Namkug Kim
2020	J	`jnl`	Fully Automated Hand Hygiene Monitoring\\in Operating Room using 3D Convolutional Neural Network. CoRR Minjee Kim, Joonmyeong Choi, Namkug Kim
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
2020	J	`jnl`	Fully Automated and Real-Time Volumetric Measurement of Infarct Core and Penumbra in Diffusion- and Perfusion-Weighted MRI of Patients with Hyper-Acute Stroke. J. Digit. Imaging Hyunna Lee, Kyesam Jung, Dong-Wha Kang, Namkug Kim
2020	J	`jnl`	Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network. Comput. Methods Programs Biomed. Hyun-Jin Bae, Heejung Hyun, Younghwa Byeon, Keewon Shin, Yongwon Cho, Young Ji Song, Seong Yi, Sung-Uk Kuh, Jin S. Yeom, Namkug Kim
2019	J	`jnl`	Accuracy evaluation of blood flow distribution in the Fontan circulation: effects of resolution and velocity noise. J. Vis. Hojin Ha, Heejun Kang, Hyungkyu Huh, Woorak Choi, Hyun Jung Koo, Jaeyoung Kwon, Kyoung Jin Park, Young Chul Cho, Sang Joon Lee, Namkug Kim, Dong Hyun Yang
2019	J	`jnl`	Automatic Tip Detection of Surgical Instruments in Biportal Endoscopic Spine Surgery. CoRR Sue Min Cho, Young-Gon Kim, Jinhoon Jeong, Ho-jin Lee, Namkug Kim
2019	J	`jnl`	Development of a personalized and realistic educational thyroid cancer phantom based on CT images: An evaluation of accuracy between three different 3D printers. Comput. Biol. Medicine Dayeong Hong, Sangwook Lee, Taehun Kim, Jung Hwan Baek, Yu-mi Lee, Ki-Wook Chung, Tae-Yon Sung, Namkug Kim
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
2019	J	`jnl`	Semi-automatic and robust determination of dental arch form in dental cone-beam CT with B-spline approximation. Comput. Methods Programs Biomed. Myungsoo Bae, Jae-Woo Park, 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`	Development of a robust and cost-effective 3D respiratory motion monitoring system using the kinect device: Accuracy comparison with the conventional stereovision navigation system. Comput. Methods Programs Biomed. Myungsoo Bae, SangMin Lee, Namkug Kim
2018	J	`jnl`	Enhancement of gesture recognition for contactless interface using a personalized classifier in the operating room. Comput. Methods Programs Biomed. Yongwon Cho, Areum Lee, Jongha Park, Bemseok Ko, 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
2018	Misc	`conf`	Preliminary Validation of Prediction of Poor Outcome in Initially Stable Upper Gastrointestinal Bleeding ED Patients Using Multiple Machine Learning Algorithms. AMIA BeomHee Park, Ilsan Woo, Won-Young Kim, Namkug Kim, Dongwoo Seo
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
2016	J	`jnl`	Gesture-Controlled Interface for Contactless Control of Various Computer Programs with a Hooking-Based Keyboard and Mouse-Mapping Technique in the Operating Room. Comput. Math. Methods Medicine Ben Joonyeon Park, Taekjin Jang, Jong-Woo Choi, Namkug Kim
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
2014	J	`jnl`	Performance enhancement of respiratory tumor motion prediction using adaptive support vector regression: Comparison with adaptive neural network method. Int. J. Imaging Syst. Technol. Seungwook Choi, Yongjun Chang, Namkug Kim, Sung-Ho Park, Si Yeol Song, Heung Sik Kang
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
2012	J	`jnl`	Sex differences in amygdala subregions: Evidence from subregional shape analysis. NeuroImage Hengjun J. Kim, Namkug Kim, Sehyun Kim, Seokjun Hong, Kyungmo Park, Sabina Lim, Jung-Mi Park, Byungjo Na, Younbyoung Chae, Jeongchan Lee, Sujung Yeo, Il-Hwan Choe, Seung-Yeon Cho, Gyunggoo Cho
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
2009	J	`jnl`	Robust and fast shell registration in PET and MR/CT brain images. Comput. Biol. Medicine Ho Lee, Jeongjin Lee, Namkug Kim, In Kyoon Lyoo, Yeong-Gil Shin
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
2008	J	`jnl`	Robust feature-based registration using a Gaussian-weighted distance map and brain feature points for brain PET/CT images. Comput. Biol. Medicine Ho Lee, Jeongjin Lee, Namkug Kim, Sang Joon Kim, Yeong-Gil Shin
2007	—	`conf`	A novel algorithm for polyp detection using Eigen decomposition of Hessian-matrix for CT colonography CAD: validation with physical phantom study. Computer-Aided Diagnosis June-Goo Lee, Se Hyung Kim, Jong Hyo Kim, Namkug Kim, Jin Young Choi, KwangGi Kim, Jong-Mo Seo
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
2006	J	`jnl`	A three-dimensional analysis of soft and hard tissue changes after a mandibular setback surgery. Comput. Methods Programs Biomed. Namkug Kim, Cheol Lee, Suk-Ho Kang, Jae-Woo Park, Myung-Jin Kim, Young-Il Chang
2006	C	`conf`	Automatic Skull Segmentation and Registration for Tissue Change Measurement After Mandibular Setback Surgery. PSIVT Jeongjin Lee, Namkug Kim, Ho Lee, Suk-Ho Kang, Jae-Woo Park, Young-Il Chang
2005	B	`conf`	Automatic registration of ICG images using mutual information and perfusion analysis. Image Processing Namkug Kim, Jong-Mo Seo, June-Goo Lee, Jong Hyo Kim, Kwangsuk Park, Hyeong-Gon Yu, Young Suk Yu, Hum Chung
1998	—	`conf`	Web based 3-D Medical Image Visualization on the PC. MedInfo Namkug Kim, Dong-Hyuk Lee, Jong-Hyo Kim, Youngho Kim, H.-Jung Cho