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)

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)

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)

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)

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)