Soopil Kim

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Medical Image Registration

Transfer Learning

Anomaly Detection

Top Venues

Pattern Recognit.

Publications

Myeongkyun Kang, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
FedNN: Federated learning on concept drift data using weight and adaptive group normalizations. Pattern Recognit. 149 (2024)
Soopil Kim, Heejung Park, Myeongkyun Kang, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets. Medical Image Anal. 95 (2024)
Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. AAAI (2024)
Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification. CoRR (2024)
Sion An, Jaehong Kim, Soopil Kim, Philip Chikontwe, Jiwook Jung, Hyejeong Jeon, Sang Hyun Park
Few-shot anomaly detection using positive unlabeled learning with cycle consistency and co-occurrence features. Expert Syst. Appl. 256 (2024)
Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli-Mosabbeb, Kilian M. Pohl, Sanghyun Park
One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation. MICCAI (2) (2023)
Soopil Kim, Philip Chikontwe, Sion An, Sanghyun Park
Uncertainty-aware semi-supervised few shot segmentation. Pattern Recognit. 137 (2023)
Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. CoRR (2023)
Philip Chikontwe, Soopil Kim, Sang Hyun Park
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification. CoRR (2022)
Heejung Park, Gyeong Min Lee, Soopil Kim, Ga Hyung Ryu, Areum Jeong, Min Sagong, Sang Hyun Park
A Meta-Learning Approach for Medical Image Registration. ISBI (2022)
Philip Chikontwe, Soopil Kim, Sang Hyun Park
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification. CVPR (2022)
Heejung Park, Gyeong Min Lee, Soopil Kim, Ga Hyung Ryu, Areum Jeong, Sang Hyun Park, Min Sagong
A Meta-Learning Approach for Medical Image Registration. CoRR (2021)
Soopil Kim, Philip Chikontwe, Sang Hyun Park
Uncertainty-Aware Semi-Supervised Few Shot Segmentation. CoRR (2021)
Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. AAAI (2021)
Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification. IROS (2020)
Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. CoRR (2020)
Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification. CoRR (2020)
Soopil Kim, Miguel Luna, Philip Chikontwe, Sang Hyun Park
Two-Step U-Nets for Brain Tumor Segmentation and Random Forest with Radiomics for Survival Time Prediction. BrainLes@MICCAI (1) (2019)