2023

PAPER LIST

Orthognathic surgical planning using graph CNN with dual embedding module: External validations with multi-hospital datasets

In-Hwan Kim, Jun-Sik 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

Computer Methods and Programs in Biomedicine 242, 107853

Comparing the biomechanical properties of conventional suture and all-suture anchors using patient-specific and realistic osteoporotic and non-osteoporotic phantom using 3D printing

Junhyeok Ock, Junghyun Seo, Kyoung Hwan Koh, Namkug Kim

Scientific Reports 13 (1), 20976

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

Computers in Biology and Medicine 166, 107532

Spatiotemporal association between air pollution and stroke mortality in South Korea

Sang Hee Ha, Jeongeun Hwang, Namkug Kim, Eun-Jae Lee, Bum Joon Kim, Sun U Kwon

Journal of Stroke and Cerebrovascular Diseases 32 (11), 107348

Overcoming the Challenges in the Development and Implementation of Artificial Intelligence in Radiology: A Comprehensive Review of Solutions Beyond Supervised Learning

Gil-Sun Hong, Miso Jang, Sunggu Kyung, Kyungjin Cho, Jiheon Jeong, Grace Yoojin Lee, Keewon Shin, Ki Duk Kim, Seung Min Ryu, Joon Beom Seo, Sang Min Lee, Namkug Kim

Korean Journal of Radiology 24 (11), 1061

Deep learning for automated triaging of stable chest radiographs in a follow-up setting

Jihye Yun, Yura Ahn, Kyungjin Cho, Sang Young Oh, Sang Min Lee, Namkug Kim, Joon Beom Seo

Radiology 309 (1), e230606

Screening obstructive sleep apnea patients via deep learning of knowledge distillation in the lateral cephalogram

Min-Jung Kim, Jiheon Jeong, Jung-Wook Lee, In-Hwan Kim, Jae-Woo Park, Jae-Yon Roh, Namkug Kim, Su-Jung Kim

Scientific Reports 13 (1), 17788

CT Kernel Conversion Using Multi-domain Image-to-Image Translation with Generator-Guided Contrastive Learning

Changyong Choi, Jiheon Jeong, Sangyoon Lee, Sang Min Lee, Namkug Kim

International Conference on Medical Image Computing and Computer-Assisted Intervention 344-354

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

International Conference on Medical Image Computing and Computer-Assisted Intervention 366-375

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, Joon Beom Seo, Namkug Kim

Medical Image Analysis 89, 102894

Utilizing patient-specific 3D printed kidney surgical guide with realistic phantom for partial nephrectomy

Junhyeok Ock, Taehun Kim, Sungchul On, Sangwook Lee, Yoon Soo Kyung, Namkug Kim

Scientific Reports 13 (1), 15531

Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease

Hye Jeon Hwang, Hyunjong Kim, Joon Beom Seo, Jong Chul Ye, Gyutaek Oh, Sang Min Lee, Ryoungwoo Jang, Jihye Yun, Namkug Kim, Hee Jun Park, Ho Yun Lee, Soon Ho Yoon, Kyung Eun Shin, Jae Wook Lee, Woocheol Kwon, Joo Sung Sun, Seulgi You, Myung Hee Chung, Bo Mi Gil, Jae-Kwang Lim, Youkyung Lee, Su Jin Hong, Yo Won Choi

Korean Journal of Radiology 24 (8), 807

Automated detection of intracranial aneurysms using skeleton-based 3D patches, semantic segmentation, and auxiliary classification for overcoming data imbalance in brain TOF-MRA

Sungwon Ham, Jiyeon Seo, Jihye Yun, Yun Jung Bae, Tackeun Kim, Leonard Sunwoo, Sooyoung Yoo, Seung Chai Jung, Jeong-Whun Kim, Namkug Kim

Scientific Reports 13 (1), 12018

Accuracy and clinical validity of automated cephalometric analysis using convolutional neural networks

Seyun Kang, Inhwan Kim, Yoon‐Ji Kim, Namkug Kim, Seung‐Hak Baek, Sang‐Jin Sung

Orthodontics & Craniofacial Research

Subregional pharyngeal changes after orthognathic surgery in skeletal Class III patients analyzed by convolutional neural networks-based segmentation

Dong-Yul Kim, Seoyeon Woo, Jae-Yon Roh, Jin-Young Choi, Kyung-A Kim, Jung-Yul Cha, Namkug Kim, Su-Jung Kim

Journal of Dentistry, 104565

Clinical Utility of a 3D-Printed Patient-Specific Surgical Guide for Partial Nephrectomy

Bumjin Lim, Sangwook Lee, Taehun Kim, Junhyeok Ock, Cheryn Song, Namkug Kim, Yoon Soo Kyung

Urologia Internationalis 107 (6), 591-594

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

Journal of Digital Imaging, 1-12

The Association Between Media-Based Exposure to Nonsuicidal Self-Injury and Emergency Department Visits for Self-Harm

Taeyeop Lee, Hyunjung Park, Jeong-Min Ryu, Namkug Kim, Hyo-Won Kim

Journal of the American Academy of Child & Adolescent Psychiatry 62 (6), 656-664

Screening of adolescent idiopathic scoliosis using generative adversarial network (GAN) inversion method in chest radiographs

Jun Soo Lee, Keewon Shin, Seung Min Ryu, Seong Gyu Jegal, Woojin Lee, Min A Yoon, Gil-Sun Hong, Sanghyun Paik, Namkug Kim

Plos one 18 (5), e0285489

An interactive and realistic phantom for cricothyroidotomy simulation of a patient with obesity through a reusable design using 3D-printing and Arduino

J Ock, D Hong, S Moon, YS Park, DW Seo, JH Yoon, SH Kim, N Kim

Computer Methods and Programs in Biomedicine 233, 107478

Improvement of semantic segmentation through transfer learning of multi-class regions with convolutional neural networks on supine and prone breast MRI images

S Ham, M Kim, S Lee, CB Wang, BS Ko, N Kim

Scientific Reports 13 (1), 6877

Diagnostic assessment of deep learning algorithms for frozen tissue section analysis in women with breast cancer

Young-Gon Kim, In Hye Song, Seung Yeon Cho, Sungchul Kim, Milim Kim, Soomin Ahn, Hyunna Lee, Dong Hyun Yang, Namkug Kim, Sungwan Kim, Taewoo Kim, Daeyoung Kim, Jonghyeon Choi, Ki-Sun Lee, Minuk Ma, Minki Jo, So Yeon Park, Gyungyub Gong

Cancer Research and Treatment: Official Journal of Korean Cancer Association 2023/4

An Image Turing Test on Realistic Gastroscopy Images Generated by Using the Progressive Growing of Generative Adversarial Networks

K Shin, JS Lee, JY Lee, H Lee, J Kim, JS Byeon, HY Jung, DH Kim, N Kim

Journal of Digital Imaging, 1-10

Development of a patient-specific chest computed tomography imaging phantom with realistic lung lesions using silicone casting and three-dimensional printing

D Hong, S Moon, JB Seo, N Kim

Scientific Reports 13 (1), 3941

Case report: Magnetic resonance imaging-based three-dimensional printing for reconstruction of complex cloacal malformations

Suiin Gang, Sang Hoon Song, Jaeyoung Kwon, Hyunhee Kwon, Suhyeon Ha, Jueun Park, Namkug Kim, Hee Mang Yoon, Jung-Man Namgoong

Frontiers in Pediatrics 11, 1103401

Automated diagnosis of flatfoot using cascaded convolutional neural network for angle measurements in weight-bearing lateral radiographs

Seung Min Ryu, Keewon Shin, Soo Wung Shin, Sun Ho Lee, Su Min Seo, Seung-Uk Cheon, Seung-Ah Ryu, Min-Ju Kim, Hyunjung Kim, Chang Hyun Doh, Young Rak Choi, Namkug Kim

European Radiology, 1-11

Unsupervised anomaly detection with generative adversarial networks in mammography

S Park, KH Lee, B Ko, N Kim

Scientific Reports 13 (1), 2925

Deep Learning–based Approach to Predict Pulmonary Function at Chest CT

Hyunjung Park, Jihye Yun, Sang Min Lee, Hye Jeon Hwang, Joon Beom Seo, Young Ju Jung, Jeongeun Hwang, Se Hee Lee, Sei Won Lee, Namkug Kim

Radiology 307 (2), e221488

Image Turing test and its applications on synthetic chest radiographs by using the progressive growing generative adversarial network

Miso Jang, Hyun-jin Bae, Minjee Kim, Seo Young Park, A-yeon Son, Se Jin Choi, Jooae Choe, Hye Young Choi, Hye Jeon Hwang, Han Na Noh, Joon Beom Seo, Sang Min Lee, Namkug Kim

Scientific Reports 13 (1), 2356

CheSS: Chest X-Ray Pre-trained Model via Self-supervised Contrastive Learning

Sungwon Ham, Jiyeon Seo, Jihye Yun, Yun Jung Bae, Tackeun Kim, Leonard Sunwoo, Sooyoung Yoo, Seung Chai Jung, Jeong-Whun Kim, Namkug Kim

Journal of Digital Imaging, 1-9

Publisher Correction: Unsupervised anomaly detection with generative adversarial networks in mammography

S Park, KH Lee, B Ko, N Kim

Scientific Reports 13

Diagnosis of osteoporotic vertebral compression fractures and fracture level detection using multitask learning with U-Net in lumbar spine lateral radiographs

SM Ryu, S Lee, M Jang, JM Koh, SJ Bae, SG Jegal, K Shin, N Kim

Computational and Structural Biotechnology Journal 21, 3452-3458

Stain normalization using score-based diffusion model through stain separation and overlapped moving window patch strategies

J Jeong, KD Kim, Y Nam, CE Cho, H Go, N Kim

Computers in Biology and Medicine 152, 106335

The Feasibility of Computer Simulations and 3-Dimensional–Printed Resection Guides for Skin Cancer Resection

H Park, WS Jeong, J Ock, S Lee, N Kim, JW Choi

Journal of Craniofacial Surgery 34 (1), 159-167

Deep Learning–based Detection of Solid and Cystic Pancreatic Neoplasms at Contrast-enhanced CT

Hyo Jung Park, Keewon Shin, Myung-Won You, Sung-Gu Kyung, So Yeon Kim, Seong Ho Park, Jae Ho Byun, Namkug Kim, Hyoung Jung Kim

Radiology 306 (1), 140-149