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)

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)

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)

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)

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)