Soopil Kim - RankMe

30 papers A* 3A 1Journal 18Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Instruction-Free Tuning of Large Vision Language Models for Medical Instruction Following. CoRR Myeongkyun Kang, Soopil Kim, Xiaoxiao Li, Sang Hyun Park
2026	J	`jnl`	Subject-adaptive meta-learning for personalized BCI: A fusion of resting-state EEG signal and task-specific information. Inf. Fusion Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park
2025	J	`jnl`	Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis. IEEE Trans. Medical Imaging Soopil Kim, Heejung Park, Philip Chikontwe, Myeongkyun Kang, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sang Hyun Park
2025	J	`jnl`	Efficient one-shot federated learning on medical data using knowledge distillation with image synthesis and client model adaptation. Medical Image Anal. Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
2025	—	`conf`	Logical Anomaly Detection with Text-based Logic via Component-Aware Contrastive Language-Image Training. KDD (2) Seungeon Lee, Soopil Kim, Sion An, Sang-Chul Lee, Sang Hyun Park
2025	—	`conf`	MC-NuSeg: Multi-Contour Aware Nuclei Instance Segmentation with Segment Anything Model. IPMI (1) Hyun Namgung, Siwoo Nam, Soopil Kim, Sang Hyun Park
2025	J	`jnl`	MOSInversion: Knowledge distillation-based incremental learning in organ segmentation using DeepInversion. Comput. Biol. Medicine Jihyeon Kim, Gyeongmin Lee, Seung Yeon Shin, Soopil Kim, Sanghyun Park
2025	J	`jnl`	Model Agnostic Preference Optimization for Medical Image Segmentation. CoRR Yunseong Nam, Jiwon Jang, Dongkyu Won, Sang Hyun Park, Soopil Kim
2025	—	`conf`	Revisiting Masked Image Modeling with Standardized Color Space for Domain Generalized Fundus Photography Classification. MICCAI (7) Eojin Jang, Myeongkyun Kang, Soopil Kim, Min Sagong, Sang Hyun Park
2024	J	`jnl`	Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification. IEEE Trans. Neural Networks Learn. Syst. Sion An, Soopil Kim, Philip Chikontwe, Sanghyun Park
2024	J	`jnl`	FedNN: Federated learning on concept drift data using weight and adaptive group normalizations. Pattern Recognit. Myeongkyun Kang, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
2024	J	`jnl`	Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets. Medical Image Anal. Soopil Kim, Heejung Park, Myeongkyun Kang, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
2024	A*	`conf`	Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. AAAI Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
2024	J	`jnl`	Few-shot anomaly detection using positive unlabeled learning with cycle consistency and co-occurrence features. Expert Syst. Appl. Sion An, Jaehong Kim, Soopil Kim, Philip Chikontwe, Jiwook Jung, Hyejeong Jeon, Sang Hyun Park
2024	—	`conf`	InstaSAM: Instance-Aware Segment Any Nuclei Model with Point Annotations. MICCAI (4) Siwoo Nam, Hyun Namgung, Jaehoon Jeong, Miguel Luna, Soopil Kim, Philip Chikontwe, Sanghyun Park
2024	—	`conf`	Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification. MICCAI (11) Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park
2024	J	`jnl`	Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification. CoRR Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park
2023	J	`jnl`	Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. CoRR Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
2023	—	`conf`	One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation. MICCAI (2) Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli-Mosabbeb, Kilian M. Pohl, Sanghyun Park
2023	J	`jnl`	Uncertainty-aware semi-supervised few shot segmentation. Pattern Recognit. Soopil Kim, Philip Chikontwe, Sion An, Sanghyun Park
2022	—	`conf`	A Meta-Learning Approach for Medical Image Registration. ISBI Heejung Park, Gyeong Min Lee, Soopil Kim, Ga Hyung Ryu, Areum Jeong, Min Sagong, Sang Hyun Park
2022	A*	`conf`	CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification. CVPR Philip Chikontwe, Soopil Kim, Sang Hyun Park
2022	J	`jnl`	CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification. CoRR Philip Chikontwe, Soopil Kim, Sang Hyun Park
2021	J	`jnl`	A Meta-Learning Approach for Medical Image Registration. CoRR Heejung Park, Gyeong Min Lee, Soopil Kim, Ga Hyung Ryu, Areum Jeong, Sang Hyun Park, Min Sagong
2021	A*	`conf`	Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. AAAI Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park
2021	J	`jnl`	Uncertainty-Aware Semi-Supervised Few Shot Segmentation. CoRR Soopil Kim, Philip Chikontwe, Sang Hyun Park
2020	J	`jnl`	Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. CoRR Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park
2020	A	`conf`	Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification. IROS Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park
2020	J	`jnl`	Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification. CoRR Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park
2019	—	`conf`	Two-Step U-Nets for Brain Tumor Segmentation and Random Forest with Radiomics for Survival Time Prediction. BrainLes@MICCAI (1) Soopil Kim, Miguel Luna, Philip Chikontwe, Sang Hyun Park