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Jongchan Park
Jongchan Park
Lunit Inc.
Verified email at lunit.io - Homepage
Title
Cited by
Cited by
Year
CBAM: Convolutional Block Attention Module
S Woo, J Park, JY Lee, IS Kweon
Proceedings of the European conference on computer vision (ECCV), 3-19, 2018
167132018
BAM: Bottleneck Attention Module
J Park, S Woo, JY Lee, IS Kweon
Proceedings of the British Machine Vision Conference, 2018
1268*2018
Reducing Domain Gap by Reducing Style Bias
H Nam, HJ Lee, J Park, W Yoon, D Yoo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
344*2021
Distort-and-recover: Color enhancement using deep reinforcement learning
J Park, JY Lee, D Yoo, IS Kweon
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2202018
A simple and light-weight attention module for convolutional neural networks
J Park, S Woo, JY Lee, IS Kweon
International journal of computer vision 128 (4), 783-798, 2020
812020
Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs
JG Nam, M Kim, J Park, EJ Hwang, JH Lee, JH Hong, JM Goo, CM Park
European Respiratory Journal 57 (5), 2021
722021
Pt4al: Using self-supervised pretext tasks for active learning
JSK Yi, M Seo, J Park, DG Choi
European Conference on Computer Vision, 596-612, 2022
262022
Studying the effects of self-attention for medical image analysis
A Rao, J Park, S Woo, JY Lee, O Aalami
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
222021
Unsupervised change detection based on image reconstruction loss
H Noh, J Ju, M Seo, J Park, DG Choi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
202022
Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case–control study
SY Choi, S Park, M Kim, J Park, YR Choi, KN Jin
Medicine 100 (16), 2021
202021
Learning visual context by comparison
M Kim, J Park, S Na, CM Park, D Yoo
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
152020
A self-supervised sampler for efficient action recognition: Real-world applications in surveillance systems
M Seo, D Cho, S Lee, J Park, D Kim, J Lee, J Ju, H Noh, DG Choi
IEEE Robotics and Automation Letters 7 (2), 1752-1759, 2021
72021
Apparatus for predicting metadata of medical image and method thereof
J Park, D Yoo
US Patent 10,824,908, 2020
32020
Training method for specializing artificial interlligence model in institution for deployment, and apparatus for training artificial intelligence model
D Yoo, P Seungwook, M Kim, J Park
US Patent App. 17/689,196, 2022
12022
Deep learning-based ensemble model using hematoxylin and eosin (H&E) whole slide images (WSIs) for the prediction of MET mutations in non-small cell lung cancer (NSCLC).
YL Choi, S Park, HA Jung, JM Sun, SH Lee, JS Ahn, MJ Ahn, T Lee, ...
Journal of Clinical Oncology 41 (16_suppl), e13578-e13578, 2023
2023
Method for filtering normal medical image, method for interpreting medical image, and computing device implementing the methods
J Park
US Patent App. 18/086,962, 2023
2023
Method for filtering normal medical image, method for interpreting medical image, and computing device implementing the methods
J Park
US Patent 11,574,727, 2023
2023
Apparatus for predicting metadata of medical image and method thereof
J Park, D Yoo
US Patent App. 17/685,740, 2022
2022
Apparatus and method for processing medical image using predicted metadata
JC Park, DG Yoo, KH You, HS Nam, HJ Lee, SH Lee
US Patent App. 17/426,336, 2022
2022
Apparatus for predicting metadata of medical image and method thereof
J Park, D Yoo
US Patent App. 17/035,401, 2021
2021
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