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)

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)

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)

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)

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)

Temporal convolutional neural network-based feature extraction and asynchronous channel information fusion method for heart abnormality detection in phonocardiograms. - Jae-Man Shin; Seongyong Park; Keewon Shin; Woo-Young Seo; Hyun-Seok Kim; Dong-Kyu Kim; Baehun Moon; Seul-Gi Cha; Won-Jung Shin; Sung-Hoon Kim (Comput. Methods Programs Biomed., 2025)