Web based 3-D Medical Image Visualization on the PC. - Namkug Kim; Dong-Hyuk Lee; Jong-hyo Kim; Youngho Kim; H.-Jung Cho (MedInfo, 1998)

Automatic registration of ICG images using mutual information and perfusion analysis. - Namkug Kim; Jong-Mo Seo; June-Goo Lee; Jong Hyo Kim; Kwangsuk Park; Hyeong-Gon Yu; Young Suk Yu; Hum Chung (Image Processing, 2005)

Automatic Skull Segmentation and Registration for Tissue Change Measurement After Mandibular Setback Surgery. - Jeongjin Lee; Namkug Kim; Ho Lee 001; Suk-Ho Kang; Jae-Woo Park; Young-Il Chang (PSIVT, 2006)

A three-dimensional analysis of soft and hard tissue changes after a mandibular setback surgery. - Namkug Kim; Cheol Lee; Suk-Ho Kang; Jae-Woo Park; Myung-Jin Kim; Young-Il Chang (Comput. Methods Programs Biomed., 2006)

A novel algorithm for polyp detection using Eigen decomposition of Hessian-matrix for CT colonography CAD: validation with physical phantom study. - June-Goo Lee; Se Hyung Kim; Jong Hyo Kim; Namkug Kim; Jin Young Choi; KwangGi Kim; Jong-Mo Seo (Computer-Aided Diagnosis, 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. - Namkug Kim; Joon Beom Seo; Jeong Nam Heo; Suk-Ho Kang (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. - Namkug Kim; Joon Beom Seo; Koun Sik Song; Suk-Ho Kang (Image Processing, 2007)

An automatic method for fast and accurate liver segmentation in CT images using a shape detection level set method. - Jeongjin Lee; Namkug Kim; Ho Lee 001; Joon Beom Seo; Hyung Jin Won; Yong Moon Shin; Yeong-Gil Shin (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. - Youngjoo Lee; Namkug Kim; Joon Beom Seo; June-Goo Lee; Suk-Ho Kang (Image Processing, 2007)

Performance comparison of classifiers for differentiation among obstructive lung diseases based on features of texture analysis at HRCT. - Youngjoo Lee; Joon Beom Seo; Bokyoung Kang; Dongil Kim; June-Goo Lee; Song Soo Kim; Namkug Kim; Suk-Ho Kang (Image Processing, 2007)

Efficient liver segmentation using a level-set method with optimal detection of the initial liver boundary from level-set speed images. - Jeongjin Lee; Namkug Kim; Ho Lee 001; Joon Beom Seo; Hyung Jin Won; Yong Moon Shin; Yeong-Gil Shin; Soo-Hong Kim (Comput. Methods Programs Biomed., 2007)

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. - Namkug Kim; Joon Beom Seo; Yu Sub Sung; Bum-Woo Park; Youngjoo Lee; Seong Hoon Park; Young Kyung Lee; Suk-Ho Kang (Image Processing, 2008)

Robust feature-based registration using a Gaussian-weighted distance map and brain feature points for brain PET/CT images. - Ho Lee 001; Jeongjin Lee; Namkug Kim; Sang Joon Kim; Yeong-Gil Shin (Comput. Biol. Medicine, 2008)

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. - Namkug Kim; Joon Beom Seo; Sang Ok Park; Youngjoo Lee; Jeongjin Lee (Computer-Aided Diagnosis, 2009)

Improvement of computational efficiency using a cascade classification scheme for the classification of diffuse infiltrative lung disease on HRCT. - Youngjoo Lee; Namkug Kim; Joon Beom Seo; Sang Ok Park; Young Kyung Lee; Suk-Ho Kang (Computer-Aided Diagnosis, 2009)

Novel level-set based segmentation method of the lung at HRCT images of diffuse interstitial lung disease (DILD). - Jeongjin Lee; Joon Beom Seo; Namkug Kim; Sang Ok Park; Ho Lee 001; Yeong-Gil Shin; Soo-Hong Kim (Image Processing, 2009)

Robust and fast shell registration in PET and MR/CT brain images. - Ho Lee 001; Jeongjin Lee; Namkug Kim; In Kyoon Lyoo; Yeong-Gil Shin (Comput. Biol. Medicine, 2009)

Correction of lung boundary using the gradient and intensity distribution. - Yeny Yim; Helen Hong; Joon Beom Seo; Namkug Kim; Eun Jin Chae; Yeong-Gil Shin (Comput. Biol. Medicine, 2009)

Performance testing of several classifiers for differentiating obstructive lung diseases based on texture analysis at high-resolution computerized tomography (HRCT). - Youngjoo Lee; Joon Beom Seo; June-Goo Lee; Song Soo Kim; Namkug Kim; Suk-Ho Kang (Comput. Methods Programs Biomed., 2009)

Development of an Automatic Classification System for Differentiation of Obstructive Lung Disease using HRCT. - Namkug Kim; Joon Beom Seo; Youngjoo Lee; June-Goo Lee; Song Soo Kim; Suk-Ho Kang (J. Digit. Imaging, 2009)

Regional Context-Sensitive Support Vector Machine Classifier to Improve Automated Identification of Regional Patterns of Diffuse Interstitial Lung Disease. - Jonghyuck Lim; Namkug Kim; Joon Beom Seo; Young Kyung Lee; Youngjoo Lee; Suk-Ho Kang (J. Digit. Imaging, 2011)

Fast and efficient lung disease classification using hierarchical one-against-all support vector machine and cost-sensitive feature selection. - Yongjun Chang; Namkug Kim; Youngjoo Lee; Jonghyuck Lim; Joon Beom Seo; Young Kyung Lee (Comput. Biol. Medicine, 2012)

Sex differences in amygdala subregions: Evidence from subregional shape analysis. - 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; et al. (NeuroImage, 2012)

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]. - Youngjoo Lee; Yongjun Chang; Namkug Kim; Jonghyuck Lim; Joon Beom Seo; Young Kyung Lee (Comput. Biol. Medicine, 2013)

Performance enhancement of respiratory tumor motion prediction using adaptive support vector regression: Comparison with adaptive neural network method. - SeungWook Choi; Yongjun Chang; Namkug Kim; Sung-Ho Park; Si Yeol Song; Heung Sik Kang (Int. J. Imaging Syst. Technol., 2014)

Automatic Left and Right Lung Separation Using Free-Formed Surface Fitting on Volumetric CT. - Younjoo Lee; Minho Lee; Namkug Kim; Joon Beom Seo; Joo Young Park (J. Digit. Imaging, 2014)

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)

Gesture-Controlled Interface for Contactless Control of Various Computer Programs with a Hooking-Based Keyboard and Mouse-Mapping Technique in the Operating Room. - Ben Joonyeon Park; Taekjin Jang; Jong-Woo Choi; Namkug Kim (Comput. Math. Methods Medicine, 2016)

An Ensemble Method for Classifying Regional Disease Patterns of Diffuse Interstitial Lung Disease Using HRCT Images from Different Vendors. - Sanghoon Jun; Namkug Kim; Joon Beom Seo; Young Kyung Lee; David A. Lynch (J. Digit. Imaging, 2017)

Preliminary Validation of Prediction of Poor Outcome in Initially Stable Upper Gastrointestinal Bleeding ED Patients Using Multiple Machine Learning Algorithms. - BeomHee Park; Ilsan Woo; Won-Young Kim; Namkug Kim; Dongwoo Seo (AMIA, 2018)

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)

Enhancement of gesture recognition for contactless interface using a personalized classifier in the operating room. - Yongwon Cho; Areum Lee; Jongha Park; Bemseok Ko; Namkug Kim (Comput. Methods Programs Biomed., 2018)

False Positive Reduction by Actively Mining Negative Samples for Pulmonary Nodule Detection in Chest Radiographs. - Sejin Park; Woochan Hwang; Kyu-Hwan Jung; Joon Beom Seo; Namkug Kim (CoRR, 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)

Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease. - Guk Bae Kim; Kyu-Hwan Jung; Yeha Lee; Hyun-Jun Kim; Namkug Kim; Sanghoon Jun; Joon Beom Seo; David A. Lynch (J. Digit. Imaging, 2018)

Development of a personalized and realistic educational thyroid cancer phantom based on CT images: An evaluation of accuracy between three different 3D printers. - Dayeong Hong; Sangwook Lee; Taehun Kim; Jung Hwan Baek; Yu-mi Lee; Ki-Wook Chung; Tae-Yon Sung; Namkug Kim (Comput. Biol. Medicine, 2019)

Semi-automatic and robust determination of dental arch form in dental cone-beam CT with B-spline approximation. - Myungsoo Bae; Jae-Woo Park; Namkug Kim (Comput. Methods Programs Biomed., 2019)

Automatic Tip Detection of Surgical Instruments in Biportal Endoscopic Spine Surgery. - Sue Min Cho; Young-Gon Kim; Jinhoon Jeong; Ho-jin Lee; Namkug Kim (CoRR, 2019)

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)

Accuracy evaluation of blood flow distribution in the Fontan circulation: effects of resolution and velocity noise. - 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 (J. Vis., 2019)

Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net. - Jihye Yun; Jinkon Park; Donghoon Yu; Jaeyoun Yi; Minho Lee; Hee Jun Park; June-Goo Lee; Joon Beom Seo; Namkug Kim (Medical Image Anal., 2019)

Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network. - Hyun-Jin Bae; Heejung Hyun; Younghwa Byeon; Keewon Shin; Yongwon Cho; Young Ji Song; Seong Yi; Sung-Uk Kuh; Jin S. Yeom; Namkug Kim (Comput. Methods Programs Biomed., 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. - Da-in Eun; Ilsang Woo; BeomHee Park; Namkug Kim; Sang Min Lee 013; Joon Beom Seo (Comput. Methods Programs Biomed., 2020)

Enhancement of surgical hand gesture recognition using a capsule network for a contactless interface in the operating room. - Areum Lee; Yongwon Cho; Seongho Jin; Namkug Kim (Comput. Methods Programs Biomed., 2020)

Fully Automated Hand Hygiene Monitoring in Operating Room using 3D Convolutional Neural Network. - Minjee Kim; Joonmyeong Choi; Namkug Kim (CoRR, 2020)

Fully Automated and Real-Time Volumetric Measurement of Infarct Core and Penumbra in Diffusion- and Perfusion-Weighted MRI of Patients with Hyper-Acute Stroke. - Hyunna Lee; Kyesam Jung; Dong-Wha Kang; Namkug Kim (J. Digit. Imaging, 2020)

Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets. - Jongha Park; Jihye Yun; Namkug Kim; BeomHee Park; Yongwon Cho; Hee Jun Park; Mijeong Song; Minho Lee; Joon Beom Seo (J. Digit. Imaging, 2020)

A Semi-Supervised Learning Framework to Leverage Proxy Information for Stroke MRI Analysis. - Jennifer Polson; Haoyue Zhang; Kambiz Nael; Noriko Salamon; Bryan Yoo; Namkug Kim; Dong-Wha Kang; William Speier; Corey W. Arnold (EMBC, 2021)

Fully automated estimation of arch forms in cone-beam CT with cubic B-spline approximation: Evaluation of digital dental models with missing teeth. - Myungsoo Bae; Jae-Woo Park; Namkug Kim (Comput. Biol. Medicine, 2021)

Automatic tip detection of surgical instruments in biportal endoscopic spine surgery. - Sue Min Cho; Young-Gon Kim; Jinhoon Jeong; Inhwan Kim; Ho-jin Lee; Namkug Kim (Comput. Biol. Medicine, 2021)

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)

Accuracy evaluation of a 3D printing surgical guide for breast-conserving surgery using a realistic breast phantom. - Junhyeok Ock; Sangwook Lee; Taehun Kim; Dayeong Hong; Minkyeong Kim; Beom-Seok Ko; Namkug Kim (Comput. Biol. Medicine, 2021)

Video recognition of simple mastoidectomy using convolutional neural networks: Detection and segmentation of surgical tools and anatomical regions. - Joonmyeong Choi; Sungman Cho; Jong Woo Chung; Namkug Kim (Comput. Methods Programs Biomed., 2021)

Barcode Method for Generative Model Evaluation driven by Topological Data Analysis. - Ryoungwoo Jang; Minjee Kim; Da-in Eun; Kyungjin Cho; Jiyeon Seo; Namkug Kim (CoRR, 2021)

The Medical Segmentation Decathlon. - Michela Antonelli; Annika Reinke; Spyridon Bakas; Keyvan Farahani; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens 001; Bjoern H. Menze; Olaf Ronneberger; Ronald M. Summers; Bram van Ginneken; Michel Bilello; et al. (CoRR, 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)

A feasibility study of a portable intraoperative specimen imaging X-ray system based on carbon nanotube field emitters. - 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; et al. (Int. J. Imaging Syst. Technol., 2021)

MTD-GAN: Multi-task Discriminator Based Generative Adversarial Networks for Low-Dose CT Denoising. - Sunggu Kyung; JongJun Won; Seongyong Pak; Gil-Sun Hong; Namkug Kim (MLMIR@MICCAI, 2022)

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. - Seung Min Ryu; Keewon Shin; Soo Wung Shin; Seungjun Lee; Namkug Kim (Comput. Biol. Medicine, 2022)

Automated landmark identification for diagnosis of the deformity using a cascade convolutional neural network (FlatNet) on weight-bearing lateral radiographs of the foot. - Seung Min Ryu; Keewon Shin; Soo Wung Shin; Sun Ho Lee; Su Min Seo; Seung-uk Cheon; Seung-Ah Ryu; Jun-Sik Kim 003; Sunghwan Ji; Namkug Kim (Comput. Biol. Medicine, 2022)

Bone suppression on pediatric chest radiographs via a deep learning-based cascade model. - Kyungjin Cho; Jiyeon Seo; Sunggu Kyung; Mingyu Kim 004; Gil-Sun Hong; Namkug Kim (Comput. Methods Programs Biomed., 2022)

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)

Development of an automatic modeling method for patient-specific aortic graft reconstruction guide in thoracoabdominal aortic repair. - Taehun Kim; Dong Hyun Yang; Joon Bum Kim; Namkug Kim (Comput. Methods Programs Biomed., 2022)

Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT. - Sunggu Kyung; Keewon Shin; Hyunsu Jeong; Ki Duk Kim; Jooyoung Park 004; Kyungjin Cho; Jeong Hyun Lee; Gil-Sun Hong; Namkug Kim (Medical Image Anal., 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)

Generating High-Resolution 3D CT with 12-Bit Depth Using a Diffusion Model with Adjacent Slice and Intensity Calibration Network. - Jiheon Jeong; Ki Duk Kim; Yujin Nam; Kyungjin Cho; Jiseon Kang; Gil-Sun Hong; Namkug Kim (MICCAI (10), 2023)

Stain normalization using score-based diffusion model through stain separation and overlapped moving window patch strategies. - Jiheon Jeong; Ki Duk Kim; Yujin Nam; Cristina Eunbee Cho; Heounjeong Go; Namkug Kim (Comput. Biol. Medicine, 2023)

Enhancement of Non-Linear Deep Learning Model by Adjusting Confounding Variables for Bone Age Estimation in Pediatric Hand X-rays. - Ki Duk Kim; Sunggu Kyung; Miso Jang; Sunghwan Ji; Dong Hee Lee; Hee Mang Yoon; Namkug Kim (J. Imaging Inform. Medicine, 2023)

An interactive and realistic phantom for cricothyroidotomy simulation of a patient with obesity through a reusable design using 3D-printing and Arduino. - Junhyeok Ock; Dayeong Hong; Sojin Moon; Yong-Seok Park; Dong-Woo Seo; Joo Heung Yoon; Sung-Hoon Kim; Namkug Kim (Comput. Methods Programs Biomed., 2023)

CheSS: Chest X-Ray Pre-trained Model via Self-supervised Contrastive Learning. - 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 (J. Digit. Imaging, 2023)

An Image Turing Test on Realistic Gastroscopy Images Generated by Using the Progressive Growing of Generative Adversarial Networks. - Keewon Shin; Jung Su Lee; Ji Young Lee; Hyunsu Lee; Jeongseok Kim; Jeong-Sik Byeon; Hwoon-Yong Jung; Do Hoon Kim; Namkug Kim (J. Digit. Imaging, 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)

Enhancing the performance of premature ventricular contraction detection in unseen datasets through deep learning with denoise and contrast attention module. - Keewon Shin; Hyunjung Kim; Woo-Young Seo; Hyun-Seok Kim; Jae-Man Shin; Dong-Kyu Kim; Yong-Seok Park; Sung-Hoon Kim; Namkug Kim (Comput. Biol. Medicine, 2023)

Orthognathic surgical planning using graph CNN with dual embedding module: External validations with multi-hospital datasets. - 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; et al. (Comput. Methods Programs Biomed., 2023)

Attentional decoder networks for chest X-ray image recognition on high-resolution features. - Hankyul Kang; Namkug Kim; Jongbin Ryu (Comput. Methods Programs Biomed., 2024)

Evaluation of the accuracy of an augmented reality-based tumor-targeting guide for breast-conserving surgery. - Junhyeok Ock; Sojin Moon; Minkyeong Kim; Beom-Seok Ko; Namkug Kim (Comput. Methods Programs Biomed., 2024)

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)

Machine learning-based clinical decision support system for treatment recommendation and overall survival prediction of hepatocellular carcinoma: a multi-center study. - 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; et al. (npj Digit. Medicine, 2024)

Morphological Complexity of Intrapapillary Capillary Loops for Predicting the Invasion Depth of Superficial Esophageal Neoplasms Using Narrow-Band Imaging. - Jeongeun Hwang; Hyungchul Park; Jooyoung Park 004; Do Hoon Kim; Namkug Kim (Int. J. Imaging Syst. Technol., 2024)

KC-UNIT: Multi-kernel conversion using unpaired image-to-image translation with perceptual guidance in chest computed tomography imaging. - Changyong Choi; Doa Kim; Seungjoo Park; Hyunki Lee; Hyunwook Kim; Sang Min Lee; Namkug Kim (Comput. Biol. Medicine, 2025)

Generative Adversarial Network With Robust Discriminator Through Multi-Task Learning for Low-Dose CT Denoising. - Sunggu Kyung; JongJun Won; Seongyong Pak; Sunwoo Kim; Sangyoon Lee 008; Kanggil Park; Gil-Sun Hong; Namkug Kim (IEEE Trans. Medical Imaging, 2025)

MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports. - Sunggu Kyung; Hyungbin Park; Jinyoung Seo; Jimin Sung; Jihyun Kim; Dongyeong Kim; Wooyoung Jo; Yoojin Nam; Sangah Park; Taehee Kwon 003; Sang Min Lee; Namkug Kim (CoRR, 2025)

MedRegion-CT: Region-Focused Multimodal LLM for Comprehensive 3D CT Report Generation. - Sunggu Kyung; Jinyoung Seo; Hyunseok Lim; Dongyeong Kim; Hyungbin Park; Jimin Sung; Jihyun Kim; Wooyoung Jo; Yoojin Nam; Namkug Kim (CoRR, 2025)

Enhancing Cricothyroidotomy Training for Novices Using Three-Dimensional-Printed Patient-Specific Models of a Patient with Obesity. - Jaeeun Song; Junhyeok Ock; Wook-Jong Kim; Yong-Seok Park; Namkug Kim; Sung-Hoon Kim (J. Medical Syst., 2025)