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Kyungjin Cho
Kyungjin Cho
SK
Verified email at sk.com
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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
222023
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
172023
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
172022
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
162024
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
92021
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
72022
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
72022
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
62023
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
62023
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
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