Soopil Kim

Orcid: 0000-0001-8937-6263

According to our database1, Soopil Kim authored at least 9 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Uncertainty-aware semi-supervised few shot segmentation.
Pattern Recognit., May, 2023

One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
A Meta-Learning Approach for Medical Image Registration.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Uncertainty-Aware Semi-Supervised Few Shot Segmentation.
CoRR, 2021

Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Two-Step U-Nets for Brain Tumor Segmentation and Random Forest with Radiomics for Survival Time Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019


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