| Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain … A Crimi, S Bakas, H Kuijf, F Keyvan, M Reyes, T van Walsum Springer, 2019 | 49 | 2019 |
| Few-shot relation learning with attention for EEG-based motor imagery classification S An, S Kim, P Chikontwe, SH Park 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 46 | 2020 |
| Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation S Kim, S An, P Chikontwe, SH Park In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35 …, 2020 | 31 | 2020 |
| Two-step U-Nets for brain tumor segmentation and random forest with radiomics for survival time prediction S Kim, M Luna, P Chikontwe, SH Park Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 31 | 2020 |
| Cad: Co-adapting discriminative features for improved few-shot classification P Chikontwe, S Kim, SH Park Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 29 | 2022 |
| Magnetic resonance imaging–based 3-dimensional fractal dimension and lacunarity analyses may predict the meningioma grade YW Park, S Kim, SS Ahn, K Han, SG Kang, JH Chang, SH Kim, SK Lee, ... European radiology 30, 4615-4622, 2020 | 20 | 2020 |
| Comparison of diagnostic performance of two-dimensional and three-dimensional fractal dimension and lacunarity analyses for predicting the meningioma grade S Kim, YW Park, SH Park, SS Ahn, JH Chang, SH Kim, SK Lee Brain tumor research and treatment 8 (1), 36, 2020 | 11 | 2020 |
| Uncertainty-aware semi-supervised few shot segmentation S Kim, P Chikontwe, S An, SH Park Pattern Recognition 137, 109292, 2023 | 9 | 2023 |
| 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 | 8 | 2023 |
| A meta-learning approach for medical image registration H Park, GM Lee, S Kim, GH Ryu, A Jeong, M Sagong, SH Park 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 8 | 2022 |
| FedNN: Federated learning on concept drift data using weight and adaptive group normalizations M Kang, S Kim, KH Jin, E Adeli, KM Pohl, SH Park Pattern Recognition 149, 110230, 2024 | 2 | 2024 |
| Few shot part segmentation reveals compositional logic for industrial anomaly detection S Kim, S An, P Chikontwe, M Kang, E Adeli, KM Pohl, SH Park Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8591-8599, 2024 | 2 | 2024 |
| Few-shot relation learning with attention for eeg-based motor imagery classification. In 2020 IEEE S An, S Kim, P Chikontwe, SH Park RSJ International Conference on Intelligent Robots and Systems (IROS), 10933 …, 0 | 2 | |
| One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation M Kang, P Chikontwe, S Kim, KH Jin, E Adeli, KM Pohl, SH Park International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets S Kim, H Park, M Kang, KH Jin, E Adeli, KM Pohl, SH Park Medical Image Analysis, 103156, 2024 | | 2024 |
Sang Hyun ParkDaegu Gyeongbuk Institute of Science & Technology, South KoreaVerified email at dgist.ac.kr
