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2020 – today
- 2024
[j55]Junhyeok Ock
, Sojin Moon, Minkyeong Kim, Beom-Seok Ko, Namkug Kim:
Evaluation of the accuracy of an augmented reality-based tumor-targeting guide for breast-conserving surgery. Comput. Methods Programs Biomed. 245: 108002 (2024)- [j54]Hankyul Kang, Namkug Kim, Jongbin Ryu:
Attentional decoder networks for chest X-ray image recognition on high-resolution features. Comput. Methods Programs Biomed. 251: 108198 (2024) - [j53]Jeongeun Hwang, Hyungchul Park, Jooyoung Park, Do Hoon Kim, Namkug Kim:
Morphological Complexity of Intrapapillary Capillary Loops for Predicting the Invasion Depth of Superficial Esophageal Neoplasms Using Narrow-Band Imaging. Int. J. Imaging Syst. Technol. 34(4) (2024) - [j52]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:
Machine learning-based clinical decision support system for treatment recommendation and overall survival prediction of hepatocellular carcinoma: a multi-center study. npj Digit. Medicine 7(1) (2024) - 2023
- [j51]Jiheon Jeong, Ki Duk Kim, Yujin Nam, Cristina Eunbee Cho, Heounjeong Go, Namkug Kim:
Stain normalization using score-based diffusion model through stain separation and overlapped moving window patch strategies. Comput. Biol. Medicine 152: 106335 (2023) - [j50]Keewon Shin, Hyunjung Kim, Woo-Young Seo, Hyun-Seok Kim, Jae-Man Shin, Dong-Kyu Kim, Yong-Seok Park, Sung-Hoon Kim, Namkug Kim:
Enhancing the performance of premature ventricular contraction detection in unseen datasets through deep learning with denoise and contrast attention module. Comput. Biol. Medicine 166: 107532 (2023) - [j49]Junhyeok Ock, Dayeong Hong, Sojin Moon, Yong-Seok Park, Dong-Woo Seo, Joo Heung Yoon, Sung-Hoon Kim, Namkug Kim:
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. 233: 107478 (2023) - [j48]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:
Orthognathic surgical planning using graph CNN with dual embedding module: External validations with multi-hospital datasets. Comput. Methods Programs Biomed. 242: 107853 (2023) - [j47]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): 902-910 (2023) - [j46]Keewon Shin, Jung Su Lee, Ji Young Lee, Hyunsu Lee, Jeongseok Kim, Jeong-Sik Byeon, Hwoon-Yong Jung, Do Hoon Kim, Namkug Kim:
An Image Turing Test on Realistic Gastroscopy Images Generated by Using the Progressive Growing of Generative Adversarial Networks. J. Digit. Imaging 36(4): 1760-1769 (2023) - [j45]Ki Duk Kim, Sunggu Kyung, Miso Jang, Sunghwan Ji, Dong Hee Lee, Hee Mang Yoon, Namkug Kim:
Enhancement of Non-Linear Deep Learning Model by Adjusting Confounding Variables for Bone Age Estimation in Pediatric Hand X-rays. J. Imaging Inform. Medicine 36(5): 2003-2014 (2023) - [j44]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: 102894 (2023) - [c19]Changyong Choi, Jiheon Jeong, Sangyoon Lee, Sang Min Lee, Namkug Kim:
CT Kernel Conversion Using Multi-domain Image-to-Image Translation with Generator-Guided Contrastive Learning. MICCAI (10) 2023: 344-354 - [c18]Jiheon Jeong, Ki Duk Kim, Yujin Nam, Kyungjin Cho, Jiseon Kang, Gil-Sun Hong, Namkug Kim:
Generating High-Resolution 3D CT with 12-Bit Depth Using a Diffusion Model with Adjacent Slice and Intensity Calibration Network. MICCAI (10) 2023: 366-375 - 2022
- [j43]Seung Min Ryu, Keewon Shin, Soo Wung Shin, Seungjun Lee, Namkug Kim:
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 145: 105400 (2022) - [j42]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:
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 148: 105914 (2022) - [j41]Kyungjin Cho, Jiyeon Seo, Sunggu Kyung, Mingyu Kim, Gil-Sun Hong, Namkug Kim:
Bone suppression on pediatric chest radiographs via a deep learning-based cascade model. Comput. Methods Programs Biomed. 215: 106627 (2022) - [j40]Taehun Kim, Dong Hyun Yang, Joon Bum Kim, Namkug Kim:
Development of an automatic modeling method for patient-specific aortic graft reconstruction guide in thoracoabdominal aortic repair. Comput. Methods Programs Biomed. 215: 106647 (2022) - [j39]Ki Duk Kim, Kyungjin Cho, Mingyu Kim, Kyung Hwa Lee, Seungjun Lee, Sang Min Lee, Kyung Hee Lee, Namkug Kim:
Enhancing deep learning based classifiers with inpainting anatomical side markers (L/R markers) for multi-center trials. Comput. Methods Programs Biomed. 220: 106705 (2022) - [j38]Sunggu Kyung, Keewon Shin, Hyunsu Jeong, Ki Duk Kim, Jooyoung Park, Kyungjin Cho, Jeong Hyun Lee, Gil-Sun Hong, Namkug Kim:
Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT. Medical Image Anal. 81: 102489 (2022) - [c17]Sunggu Kyung, JongJun Won, Seongyong Pak, Gil-Sun Hong, Namkug Kim:
MTD-GAN: Multi-task Discriminator Based Generative Adversarial Networks for Low-Dose CT Denoising. MLMIR@MICCAI 2022: 133-144 - 2021
- [j37]Myungsoo Bae, Jae-Woo Park, Namkug Kim:
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 131: 104256 (2021) - [j36]Sue Min Cho, Young-Gon Kim, Jinhoon Jeong, Inhwan Kim, Ho-jin Lee, Namkug Kim:
Automatic tip detection of surgical instruments in biportal endoscopic spine surgery. Comput. Biol. Medicine 133: 104384 (2021) - [j35]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: 104750 (2021) - [j34]Junhyeok Ock, Sangwook Lee, Taehun Kim, Dayeong Hong, Minkyeong Kim, Beom-Seok Ko, Namkug Kim:
Accuracy evaluation of a 3D printing surgical guide for breast-conserving surgery using a realistic breast phantom. Comput. Biol. Medicine 137: 104784 (2021) - [j33]Joonmyeong Choi, Sungman Cho, Jong Woo Chung, Namkug Kim:
Video recognition of simple mastoidectomy using convolutional neural networks: Detection and segmentation of surgical tools and anatomical regions. Comput. Methods Programs Biomed. 208: 106251 (2021) - [j32]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): 72-81 (2021) - [j31]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:
A feasibility study of a portable intraoperative specimen imaging X-ray system based on carbon nanotube field emitters. Int. J. Imaging Syst. Technol. 31(3): 1128-1135 (2021) - [c16]Jennifer Polson, Haoyue Zhang, Kambiz Nael, Noriko Salamon, Bryan Yoo, Namkug Kim, Dong-Wha Kang, William Speier, Corey W. Arnold:
A Semi-Supervised Learning Framework to Leverage Proxy Information for Stroke MRI Analysis. EMBC 2021: 2258-2261 - [i5]Ryoungwoo Jang, Minjee Kim, Da-in Eun, Kyungjin Cho, Jiyeon Seo, Namkug Kim:
Barcode Method for Generative Model Evaluation driven by Topological Data Analysis. CoRR abs/2106.02207 (2021) - [i4]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:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - 2020
- [j30]Hyun-Jin Bae, Heejung Hyun, Younghwa Byeon, Keewon Shin, Yongwon Cho, Young Ji Song, Seong Yi, Sung-Uk Kuh, Jin S. Yeom, Namkug Kim:
Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network. Comput. Methods Programs Biomed. 184: 105119 (2020) - [j29]Areum Lee, Yongwon Cho, Seongho Jin, Namkug Kim:
Enhancement of surgical hand gesture recognition using a capsule network for a contactless interface in the operating room. Comput. Methods Programs Biomed. 190: 105385 (2020) - [j28]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: 105615 (2020) - [j27]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): 221-230 (2020) - [j26]Hyunna Lee, Kyesam Jung, Dong-Wha Kang, Namkug Kim:
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 33(1): 262-272 (2020) - [i3]Minjee Kim, Joonmyeong Choi, Namkug Kim:
Fully Automated Hand Hygiene Monitoring\\in Operating Room using 3D Convolutional Neural Network. CoRR abs/2003.09087 (2020)
2010 – 2019
- 2019
- [j25]Dayeong Hong, Sangwook Lee, Taehun Kim, Jung Hwan Baek, Yu-mi Lee, Ki-Wook Chung, Tae-Yon Sung, Namkug Kim:
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 113 (2019) - [j24]Myungsoo Bae, Jae-Woo Park, Namkug Kim:
Semi-automatic and robust determination of dental arch form in dental cone-beam CT with B-spline approximation. Comput. Methods Programs Biomed. 172: 95-101 (2019) - [j23]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): 779-792 (2019) - [j22]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): 1019-1026 (2019) - [j21]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:
Accuracy evaluation of blood flow distribution in the Fontan circulation: effects of resolution and velocity noise. J. Vis. 22(2): 245-257 (2019) - [j20]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: 13-20 (2019) - [i2]Sue Min Cho, Young-Gon Kim, Jinhoon Jeong, Ho-jin Lee, Namkug Kim:
Automatic Tip Detection of Surgical Instruments in Biportal Endoscopic Spine Surgery. CoRR abs/1911.02755 (2019) - 2018
- [j19]Myungsoo Bae, SangMin Lee, Namkug Kim:
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. 160: 25-32 (2018) - [j18]Yongwon Cho, Areum Lee, Jongha Park, Bemseok Ko, Namkug Kim:
Enhancement of gesture recognition for contactless interface using a personalized classifier in the operating room. Comput. Methods Programs Biomed. 161: 39-44 (2018) - [j17]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): 235-244 (2018) - [j16]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): 415-424 (2018) - [c15]BeomHee Park, Ilsan Woo, Won-Young Kim, Namkug Kim, Dongwoo Seo:
Preliminary Validation of Prediction of Poor Outcome in Initially Stable Upper Gastrointestinal Bleeding ED Patients Using Multiple Machine Learning Algorithms. AMIA 2018 - [i1]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 abs/1807.10756 (2018) - 2017
- [j15]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): 761-771 (2017) - 2016
- [j14]Ben Joonyeon Park, Taekjin Jang, Jong-Woo Choi, Namkug Kim:
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 2016: 5170379:1-5170379:7 (2016) - 2015
- [c14]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: 94172V - 2014
- [j13]SeungWook Choi, Yongjun Chang, Namkug Kim, Sung-Ho Park, Si Yeol Song, Heung Sik Kang:
Performance enhancement of respiratory tumor motion prediction using adaptive support vector regression: Comparison with adaptive neural network method. Int. J. Imaging Syst. Technol. 24(1): 8-15 (2014) - [j12]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): 538-547 (2014) - 2013
- [j11]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): 1075 (2013) - 2012
- [j10]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): 1157-1164 (2012) - [j9]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:
Sex differences in amygdala subregions: Evidence from subregional shape analysis. NeuroImage 60(4): 2054-2061 (2012) - 2011
- [j8]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): 1133-1140 (2011)
2000 – 2009
- 2009
- [j7]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): 239-250 (2009) - [j6]Ho Lee, Jeongjin Lee, Namkug Kim, In Kyoon Lyoo, Yeong-Gil Shin:
Robust and fast shell registration in PET and MR/CT brain images. Comput. Biol. Medicine 39(11): 961-977 (2009) - [j5]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): 206-215 (2009) - [j4]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): 136-148 (2009) - [c13]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: 72601E - [c12]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: 72603A - [c11]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: 725941 - 2008
- [j3]Ho Lee, Jeongjin Lee, Namkug Kim, Sang Joon Kim, Yeong-Gil Shin:
Robust feature-based registration using a Gaussian-weighted distance map and brain feature points for brain PET/CT images. Comput. Biol. Medicine 38(9): 945-961 (2008) - [c10]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: 69143N - 2007
- [j2]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): 26-38 (2007) - [c9]June-Goo Lee, Se Hyung Kim, Jong Hyo Kim, Namkug Kim, Jin Young Choi, KwangGi Kim, Jong-Mo Seo:
A novel algorithm for polyp detection using Eigen decomposition of Hessian-matrix for CT colonography CAD: validation with physical phantom study. Medical Imaging: Computer-Aided Diagnosis 2007: 65142K - [c8]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: 65121T - [c7]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: 65122V - [c6]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: 65123C - [c5]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: 65124F - [c4]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: 651249 - 2006
- [j1]Namkug Kim, Cheol Lee, Suk-Ho Kang, Jae-Woo Park, Myung-Jin Kim, Young-Il Chang:
A three-dimensional analysis of soft and hard tissue changes after a mandibular setback surgery. Comput. Methods Programs Biomed. 83(3): 178-187 (2006) - [c3]Jeongjin Lee, Namkug Kim, Ho Lee, Suk-Ho Kang, Jae-Woo Park, Young-Il Chang:
Automatic Skull Segmentation and Registration for Tissue Change Measurement After Mandibular Setback Surgery. PSIVT 2006: 322-331 - 2005
- [c2]Namkug Kim, Jong-Mo Seo, June-Goo Lee, Jong Hyo Kim, Kwangsuk Park, Hyeong-Gon Yu, Young Suk Yu, Hum Chung:
Automatic registration of ICG images using mutual information and perfusion analysis. Medical Imaging: Image Processing 2005
1990 – 1999
- 1998
- [c1]Namkug Kim, Dong-Hyuk Lee, Jong-hyo Kim, Youngho Kim, H.-Jung Cho:
Web based 3-D Medical Image Visualization on the PC. MedInfo 1998: 1105-1110
Coauthor Index
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