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- Kim, Soopil ;
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- Park, Sang Hyun
- 2021-02-02
- Kim, Soopil. (2021-02-02). Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. AAAI Conference on Artificial Intelligence, 1808–1816.
- Association for the Advancement of Artificial Intelligence(AAAI)
- View : 106
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Article
Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification
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- Kim, Soopil ;
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- Park, Sang Hyun
- 2024-11
- An, Sion. (2024-11). Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification. IEEE Transactions on Neural Networks and Learning Systems, 35(11), 15479–15493. doi: 10.1109/TNNLS.2023.3287181
- Institute of Electrical and Electronics Engineers
- View : 491
- Download : 0
- Kim, Soopil ;
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- Adeli, Ehsan ;
- Pohl, Kilian M. ;
- Park, Sang Hyun
- 2024-02-24
- Kim, Soopil. (2024-02-24). Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. AAAI Conference on Artificial Intelligence, 8591–8599. doi: 10.1609/aaai.v38i8.28703
- Association for the Advancement of Artificial Intelligence
- View : 221
- Download : 0
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- Kim, Jaehong ;
- Kim, Soopil ;
- Chikontwe, Philip ;
- Jung, Jiwook ;
- Jeon, Hyejeong ;
- Park, Sang Hyun
- 2024-12
- An, Sion. (2024-12). Few-shot anomaly detection using positive unlabeled learning with cycle consistency and co-occurrence features. Expert Systems with Applications, 256. doi: 10.1016/j.eswa.2024.124890
- Elsevier
- View : 312
- Download : 0
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- Kim, Soopil ;
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- Park, Sang Hyun
- 2020-10-28
- An, Sion. (2020-10-28). Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification. IEEE/RSJ International Conference on Intelligent Robots and Systems, 10933–10938. doi: 10.1109/IROS45743.2020.9340933
- IEEE Robotics and Automation Society
- View : 236
- Download : 0
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- Kim, Soopil ;
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- Lee, Sang-Chul ;
- Park, Sang Hyun
- 2025-08-07
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp.1274 - 1285
- Association for Computing Machinery
- View : 32
- Download : 0
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- Park, Sang Hyun ;
- Ye, Dong Hye
- 2020-10-08
- Won, Dongkyu. (2020-10-08). Low-Dose CT Denoising Using Octave Convolution with High and Low Frequency Bands. 3rd International Workshop on Predictive Intelligence in Medicine (PRIME MICCAI), 68–78. doi: 10.1007/978-3-030-59354-4_7
- PRIME-MICCAI 2020 Workshop Organizers
- View : 523
- Download : 0
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- Park, Sang Hyun
- 2021-10-01
- Won, Dongkyu. (2021-10-01). Low-Dose CT Denoising Using Pseudo-CT Image Pairs. 4th International Workshop on Predictive Intelligence in Medicine (PRIME MICCAI), 1–10. doi: 10.1007/978-3-030-87602-9_1
- PRIME-MICCAI 2021 Workshop Organizers
- View : 209
- Download : 0
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- Park, Sang Hyun ;
- Park, Sukho
- 2022-07
- Cha, Hyeongdo. (2022-07). Study on Intention Recognition and Sensory Feedback: Control of Robotic Prosthetic Hand through EMG Classification and Proprioceptive Feedback using Rule-based Haptic Device. IEEE Transactions on Haptics, 15(3), 560–571. doi: 10.1109/TOH.2022.3177714
- Institute of Electrical and Electronics Engineers
- View : 303
- Download : 0
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- Kim, Soopil ;
- Chikontwe, Philip ;
- Shen, Li ;
- Park, Sang Hyun
- 2026-01
- Information Fusion, v.125
- Elsevier
- View : 3099
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- Kim, Soopil ;
- Chikontwe, Philip ;
- Shen, Li ;
- Park, Sang Hyun
- 2024-10-07
- An, Sion. (2024-10-07). Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification. International Conference on Medical Image Computing and Computer Assisted Interventions, 678–688. doi: 10.1007/978-3-031-72120-5_63
- Medical Image Computing and Computer Assisted Intervention Society
- View : 123
- Download : 0
- Kim, Soopil ;
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- Park, Sang Hyun
- 2023-05
- Kim, Soopil. (2023-05). Uncertainty-aware semi-supervised few shot segmentation. Pattern Recognition, 137. doi: 10.1016/j.patcog.2022.109292
- Elsevier Ltd
- View : 279
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- Lee, HyunKi ;
- Choi, Jinwoo ;
- Park, Sang Hyun
- 2024-11
- Ullah, Ihsan. (2024-11). Video domain adaptation for semantic segmentation using perceptual consistency matching. Neural Networks, 179. doi: 10.1016/j.neunet.2024.106505
- Elsevier
- View : 348
- Download : 0
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