| Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification S An, S Kim, P Chikontwe, SH Park 2020 IROS (IEEE/RSJ International Conference on Intelligent Robots and …, 2020 | 50 | 2020 |
| Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation S Kim, S An, P Chikontwe, SH Park 2021 AAAI (Proceedings of the AAAI Conference on Artificial Intelligence), 2021 | 36 | 2021 |
| Study on intention recognition and sensory feedback: control of robotic prosthetic hand through EMG classification and proprioceptive feedback using rule-based haptic device H Cha, S An, S Choi, S Yang, SH Park, S Park IEEE Transactions on Haptics 15 (3), 560-571, 2022 | 16 | 2022 |
| Dual attention relation network with fine-tuning for few-shot EEG motor imagery classification S An, S Kim, P Chikontwe, SH Park IEEE Transactions on Neural Networks and Learning Systems, 2023 | 13 | 2023 |
| Uncertainty-aware semi-supervised few shot segmentation S Kim, P Chikontwe, S An, SH Park Pattern Recognition 137, 109292, 2023 | 12 | 2023 |
| Low-Dose CT Denoising Using Pseudo-CT Image Pairs D Won, E Jung, S An, P Chikontwe, SH Park 2021 MICCAI PRIME (International Workshop on PRedictive Intelligence In …, 2021 | 10* | 2021 |
| Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection S Kim, S An, P Chikontwe, M Kang, E Adeli, KM Pohl, S Park 2024 AAAI (Proceedings of the AAAI Conference on Artificial Intelligence), 2023 | 5 | 2023 |
| Low-dose CT denoising using octave convolution with high and low frequency bands DK Won, S An, SH Park, DH Ye 2020 MICCAI PRIME (International Workshop on PRedictive Intelligence In …, 2020 | 5 | 2020 |
| Video domain adaptation for semantic segmentation using perceptual consistency matching I Ullah, S An, M Kang, P Chikontwe, H Lee, J Choi, SH Park Neural Networks 179, 106505, 2024 | 2 | 2024 |
| Few-shot anomaly detection using positive unlabeled learning with cycle consistency and co-occurrence features S An, S Kim, P Chikontwe, J Jung, H Jeon, J Kim, SH Park Expert Systems with Applications, 124890, 2024 | | 2024 |
| Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification S An, M Kang, S Kim, P Chikontwe, L Shen, SH Park arXiv preprint arXiv:2405.19346, 2024 | | 2024 |
Sang Hyun ParkDaegu Gyeongbuk Institute of Science & Technology, South Korea在 dgist.ac.kr 的电子邮件经过验证
