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Soopil Kim
Soopil Kim
Verified email at dgist.ac.kr
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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru ・
A Crimi, S Bakas
Springer Nature, 2021
752021
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
492020
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
352022
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
332020
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
312020
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
232020
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), 36-42, 2020
122020
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
112023
Uncertainty-aware semi-supervised few shot segmentation
S Kim, P Chikontwe, S An, SH Park
Pattern Recognition 137, 109292, 2023
102023
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
82022
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
32024
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
32023
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 95, 103156, 2024
22024
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
22024
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
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