| 2025 | MICCAI | Generative Unsupervised Anomaly Detection with Coarse-Fine Ensemble for Workload Reduction in 3D Non-contrast Brain CT of Emergency Room. | 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 |
| 2023 | MICCAI | 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 |
| 2023 | MICCAI | 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 |
| 2022 | MICCAI | 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 |
| 2018 | AMIA | 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 |
| 2006 | PSIVT | Automatic Skull Segmentation and Registration for Tissue Change Measurement After Mandibular Setback Surgery. | Jeongjin Lee, Namkug Kim, Ho Lee, Suk-Ho Kang, Jae-Woo Park, Young-Il Chang |