Chess: Chest x-ray pre-trained model via self-supervised contrastive learning K Cho, KD Kim, Y Nam, J Jeong, J Kim, C Choi, S Lee, JS Lee, S Woo, ... Journal of Digital Imaging 36 (3), 902-910, 2023 | 22 | 2023 |
Overcoming the challenges in the development and implementation of artificial intelligence in radiology: a comprehensive review of solutions beyond supervised learning GS Hong, M Jang, S Kyung, K Cho, J Jeong, GY Lee, K Shin, KD Kim, ... Korean Journal of Radiology 24 (11), 1061, 2023 | 17 | 2023 |
Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT S Kyung, K Shin, H Jeong, KD Kim, J Park, K Cho, JH Lee, GS Hong, ... Medical Image Analysis 81, 102489, 2022 | 17 | 2022 |
Updated primer on generative artificial intelligence and large language models in medical imaging for medical professionals K Kim, K Cho, R Jang, S Kyung, S Lee, S Ham, E Choi, GS Hong, N Kim Korean Journal of Radiology 25 (3), 224, 2024 | 16 | 2024 |
An open medical platform to share source code and various pre-trained weights for models to use in deep learning research S Kim, S Cho, K Cho, J Seo, Y Nam, J Park, K Kim, D Kim, J Hwang, J Yun, ... Korean journal of radiology 22 (12), 2073, 2021 | 9 | 2021 |
Enhancing deep learning based classifiers with inpainting anatomical side markers (L/R markers) for multi-center trials KD Kim, K Cho, M Kim, KH Lee, S Lee, SM Lee, KH Lee, N Kim Computer Methods and Programs in Biomedicine 220, 106705, 2022 | 7 | 2022 |
Bone suppression on pediatric chest radiographs via a deep learning-based cascade model K Cho, J Seo, S Kyung, M Kim, GS Hong, N Kim Computer Methods and Programs in Biomedicine 215, 106627, 2022 | 7 | 2022 |
Deep learning for automated triaging of stable chest radiographs in a follow-up setting J Yun, Y Ahn, K Cho, SY Oh, SM Lee, N Kim, JB Seo Radiology 309 (1), e230606, 2023 | 6 | 2023 |
MuSiC-ViT: A multi-task Siamese convolutional vision transformer for differentiating change from no-change in follow-up chest radiographs K Cho, J Kim, KD Kim, S Park, J Kim, J Yun, Y Ahn, SY Oh, SM Lee, ... Medical Image Analysis 89, 102894, 2023 | 6 | 2023 |
Screening Patient Misidentification Errors Using a Deep Learning Model of Chest Radiography: A Seven Reader Study K Kim, K Cho, Y Eo, J Kim, J Yun, Y Ahn, JB Seo, GS Hong, N Kim Journal of Imaging Informatics in Medicine, 1-9, 2024 | | 2024 |
Approximating Intermediate Feature Maps of Self-Supervised Convolution Neural Network to Learn Hard Positive Representations in Chest Radiography K Cho, KD Kim, J Jeong, Y Nam, J Kim, C Choi, S Lee, GS Hong, JB Seo, ... Journal of Imaging Informatics in Medicine, 1-11, 2024 | | 2024 |
Generating High-Resolution 3D CT with 12-Bit Depth Using a Diffusion Model with Adjacent Slice and Intensity Calibration Network J Jeong, KD Kim, Y Nam, K Cho, J Kang, GS Hong, N Kim International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
Medical image processing method for processing pediatric simple x-ray image using machine learning model and medical image processing apparatus therefor N Kim, KJ Cho, M Kim, JY Suh, H Gil-Sun US Patent App. 18/168,400, 2023 | | 2023 |
Self-accumulative Vision Transformer for Bone Age Assessment Using the Sauvegrain Method HJ Choi, D Na, K Cho, B Bae, ST Kong, H An arXiv preprint arXiv:2303.16557, 2023 | | 2023 |
어탠션 메커니즘을 이용한 강인한 표현 학습 기반 추적 흉부엑스선 변화 평가 인공지능 시스템 개발에 대한 연구 조경진 울산대학교 일반대학원 의과학과 의공학전공, 2023 | | 2023 |
Barcode Method for Generative Model Evaluation driven by Topological Data Analysis R Jang, M Kim, D Eun, K Cho, J Seo, N Kim arXiv preprint arXiv:2106.02207, 2021 | | 2021 |