| 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 | 33715 | 2018 |
| BAM: Bottleneck Attention Module J Park, S Woo, JY Lee, IS Kweon Proceedings of the British Machine Vision Conference, 2018 | 1988 | 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 | 641* | 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 | 279 | 2018 |
| 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 | 153 | 2020 |
| 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 | 118 | 2021 |
| 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 | 62 | 2022 |
| 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 | 60 | 2022 |
| 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 | 52 | 2021 |
| Road type identification ahead of the tire using D-CNN and reflected ultrasonic signals MH Kim, J Park, S Choi International journal of automotive technology 22 (1), 47-54, 2021 | 41 | 2021 |
| Augmented interpretation of HER2, ER, and PR in breast cancer by artificial intelligence analyzer: enhancing interobserver agreement through a reader study of 201 cases M Jung, SG Song, SI Cho, S Shin, T Lee, W Jung, H Lee, J Park, S Song, ... Breast Cancer Research 26 (1), 31, 2024 | 30 | 2024 |
| 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), e25663, 2021 | 27 | 2021 |
| Learning visual context by comparison M Kim, J Park, S Na, CM Park, D Yoo European Conference on Computer Vision, 576-592, 2020 | 21 | 2020 |
| 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 | 20 | 2021 |
| 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 | 8 | 2022 |
| Pathology Foundation Models Are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss G Carloni, B Brattoli, S Keum, J Park, T Lee, C Ho Ahn, S Pereira International Workshop on Foundation Models for General Medical AI, 44-53, 2025 | 5 | 2025 |
| Apparatus for predicting metadata of medical image and method thereof J Park, D Yoo US Patent 10,824,908, 2020 | 5 | 2020 |
| CBAM: Convolutional block attention module. In: 2018 European Conference on Computer Vision (ECCV) S Woo, J Park, JY Lee, IS Kweon Munich, Germany, 2018 | 4 | 2018 |
| 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 | 2 | 2023 |
| Apparatus for predicting metadata of medical image and method thereof J Park, D Yoo US Patent App. 17/685,740, 2022 | 2 | 2022 |
Sanghyun WooGoogle DeepMindVerified email at google.com
