| 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 | 18 | 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 | 15 | 2022 |
| 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 | 9 | 2023 |
| 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 | 6 | 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 | 6 | 2022 |
| 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 | 6 | 2021 |
| 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 | 3 | 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 | 1 | 2023 |
| 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), 224-242, 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 |
| 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 |
| SimChest: A Novel Similarity Measurement Agnostic to Change in Follow-Up Chest Radiograph Pairs Via a Supervised Contrastive Learning Model K Cho, J Park, KD Kim, S Park, J Park, J Yun, Y Ahn, J Seo, N Kim Available at SSRN 4165833, 0 | | |
| Differential Diagnosis on Diffuse Interstitial Lung Disease by Quantifying Imaging Patterns with Multi-Tasks Deep Learning in High-Resolution Ct of the Lungs K Cho, KD Kim, S Ham, J Yun, SM Lee, J Seo, N Kim Available at SSRN 4058016, 0 | | |
