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2020 – today
- 2023
[j6]Keewon Shin
, Hyunjung Kim, Woo-Young Seo, Hyun-Seok Kim, Jae-Man Shin, Dong-Kyu Kim, Yong-Seok Park, Sung-Hoon Kim, Namkug Kim:
Enhancing the performance of premature ventricular contraction detection in unseen datasets through deep learning with denoise and contrast attention module. Comput. Biol. Medicine 166: 107532 (2023)- [j5]Keewon Shin, Jung Su Lee, Ji Young Lee, Hyunsu Lee, Jeongseok Kim, Jeong-Sik Byeon, Hwoon-Yong Jung, Do Hoon Kim, Namkug Kim:
An Image Turing Test on Realistic Gastroscopy Images Generated by Using the Progressive Growing of Generative Adversarial Networks. J. Digit. Imaging 36(4): 1760-1769 (2023) - 2022
- [j4]Seung Min Ryu, Keewon Shin, Soo Wung Shin, Seungjun Lee, Namkug Kim:
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. Comput. Biol. Medicine 145: 105400 (2022) - [j3]Seung Min Ryu, Keewon Shin, Soo Wung Shin, Sun Ho Lee, Su Min Seo, Seung-uk Cheon, Seung-Ah Ryu, Jun-Sik Kim, Sunghwan Ji, Namkug Kim:
Automated landmark identification for diagnosis of the deformity using a cascade convolutional neural network (FlatNet) on weight-bearing lateral radiographs of the foot. Comput. Biol. Medicine 148: 105914 (2022) - [j2]Sunggu Kyung, Keewon Shin, Hyunsu Jeong, Ki Duk Kim, Jooyoung Park, Kyungjin Cho, Jeong Hyun Lee, Gil-Sun Hong, Namkug Kim:
Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT. Medical Image Anal. 81: 102489 (2022) - 2020
- [j1]Hyun-Jin Bae, Heejung Hyun, Younghwa Byeon, Keewon Shin, Yongwon Cho, Young Ji Song, Seong Yi, Sung-Uk Kuh, Jin S. Yeom, Namkug Kim:
Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network. Comput. Methods Programs Biomed. 184: 105119 (2020)
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