| Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge S Ali, N Ghatwary, D Jha, E Isik-Polat, G Polat, C Yang, W Li, A Galdran, ... Scientific Reports 14 (1), 2032, 2024 | 35 | 2024 |
| Densely distilled flow-based knowledge transfer in teacher-student framework for image classification JH Bae, D Yeo, J Yim, NS Kim, CS Pyo, J Kim IEEE Transactions on Image Processing 29, 5698-5710, 2020 | 27 | 2020 |
| Deep-Learning-Based pipe leak detection using image-based leak features JH Bae, D Yeo, DB Yoon, SW Oh, GJ Kim, NS Kim, CS Pyo 2018 25th IEEE International Conference on Image Processing (ICIP), 2361-2365, 2018 | 26 | 2018 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 23 | 2022 |
| Unsupervised learning-based pipe leak detection using deep auto-encoder D Yeo, JH Bae, JC Lee Journal of The Korea Society of Computer and Information 24 (9), 21-27, 2019 | 13 | 2019 |
| Deep learning model generalization with ensemble in endoscopic images A Hong, G Lee, H Lee, J Seo, D Yeo Proceedings of the 3rd International Workshop and Challenge on Computer …, 2021 | 11 | 2021 |
| Two-stage classification method for MSI status prediction based on deep learning approach H Lee, J Seo, G Lee, J Park, D Yeo, A Hong Applied Sciences 11 (1), 254, 2020 | 9 | 2020 |
| Variational shape prior segmentation with an initial curve based on image registration technique D Yeo, CO Lee Image and Vision Computing 94, 103865, 2020 | 7 | 2020 |
| Deep‐learning‐based nuclear power plant fault detection using remote light‐emitting diode array data transmission Y Choi, JH Bae, D Yeo, D Cho, J Lee, J Lee, O Kwon Microwave and Optical Technology Letters 63 (12), 2909-2915, 2021 | 5 | 2021 |
| Deep transfer learning for the classification of variable sources DW Kim, D Yeo, CAL Bailer-Jones, G Lee Astronomy & Astrophysics 653, A22, 2021 | 5 | 2021 |
| Multiple flow‐based knowledge transfer via adversarial networks D Yeo, JH Bae Electronics Letters 55 (18), 989-992, 2019 | 5 | 2019 |
| Pipe Leak Detection System using Wireless Acoustic Sensor Module and Deep Auto-Encoder D Yeo, G Lee, JC Lee Journal of The Korea Society of Computer and Information 25 (2), 59-66, 2020 | 4 | 2020 |
| Enhancing detection performance for robotic harvesting systems through RandAugment G Lee, P Yonrith, D Yeo, A Hong Engineering Applications of Artificial Intelligence 123, 106445, 2023 | 3 | 2023 |
| Machine learning apparatus and method based on multi-feature extraction and transfer learning, and leak detection apparatus using the same JH Bae, GJ Kim, SS Moon, JH Park, BS Yang, DY Yeo, SW OH, DB Yoon, ... US Patent App. 16/564,400, 2020 | 3 | 2020 |
| Sequential Knowledge Transfer in Teacher-Student Framework Using Densely Distilled Flow-Based Information D Yeo, JR Bae, NS Kim, CS Pyo, J Yim, J Kim 2018 25th IEEE International Conference on Image Processing (ICIP), 674-678, 2018 | 3 | 2018 |
| Adversarial Optimization-Based Knowledge Transfer of Layer-Wise Dense Flow for Image Classification D Yeo, MS Kim, JH Bae Applied Sciences 11 (8), 3720, 2021 | 2 | 2021 |
| Design of an energy functional and an initial curve for the shape prior segmentation D Yeo 한국과학기술원, 2017 | | 2017 |
| Shape Prior Segmentation with Level Set Method-Using an Initial Curve Obtained by Image Registration and Multiphase Image Segmentation CO Lee, D Yeo | | |
| Prior Shape Segmentation with Level Set Method-Using an Initial Curve Obtained by Image Registration CO Lee, D Yeo | | |
