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 | 39 | 2024 |
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 | 30 | 2018 |
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 |
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 | 25 | 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 | 16 | 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 | 12 | 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 |
Deeplearningbased nuclear power plant fault detection using remote lightemitting 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 | 6 | 2021 |
Deep transfer learning for the classification of variable sources DW Kim, D Yeo, CAL Bailer-Jones, G Lee Astronomy & Astrophysics 653, A22, 2021 | 6 | 2021 |
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 | 5 | 2020 |
Multiple flowbased knowledge transfer via adversarial networks D Yeo, JH Bae Electronics Letters 55 (18), 989-992, 2019 | 5 | 2019 |
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 | 4 | 2023 |
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 |
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 | 3 | 2021 |
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 |
Low-Power Wireless Sensor Module for Machine Learning-Based Continuous Monitoring of Nuclear Power Plants JC Lee, YR Choi, D Yeo, S Moon Sensors 24 (13), 4209, 2024 | | 2024 |
Unsupervised Learning–Based Plant Pipeline Leak Detection Using Frequency Spectrum Feature Extraction and Transfer Learning S Park, D Yeo, JH Bae IEEE Access, 2024 | | 2024 |
A Deep Learning-Based Crop Disease Diagnosis Method Using Multimodal Mixup Augmentation H Lee, YS Park, S Yang, H Lee, TJ Park, D Yeo Applied Sciences 14 (10), 4322, 2024 | | 2024 |
Leak detection study of plant pipelines using TadGANbased unsupervised learning structure SJ Park, SS Joo, SW Lee, DY Yeo, JH Bae Proceedings of The International Workshop on Future Technology, 67-70, 2024 | | 2024 |