Magnetic resonance imaging–based 3-dimensional fractal dimension and lacunarity analyses may predict the meningioma grade von Park, Yae Won, Kim, Soopil, Ahn, Sung Soo, Han, Kyunghwa, Kang, Seok-Gu, Chang, Jong Hee, Kim, Se Hoon, Lee, Seung-Koo, Park, Sang Hyun

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Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification von An, Sion, Kim, Soopil, Chikontwe, Philip, Park, Sang Hyun

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Uncertainty-aware semi-supervised few shot segmentation von Kim, Soopil, Chikontwe, Philip, An, Sion, Park, Sang Hyun

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Comparison of Diagnostic Performance of Two-Dimensional and Three-Dimensional Fractal Dimension and Lacunarity Analyses for Predicting the Meningioma Grade von Kim, Soopil, Park, Yae Won, Park, Sang Hyun, Ahn, Sung Soo, Chang, Jong Hee, Kim, Se Hoon, Lee, Seung Koo

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Few-shot anomaly detection using positive unlabeled learning with cycle consistency and co-occurrence features von An, Sion, Kim, Jaehong, Kim, Soopil, Chikontwe, Philip, Jung, Jiwook, Jeon, Hyejeong, Park, Sang Hyun

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FedNN: Federated learning on concept drift data using weight and adaptive group normalizations von Kang, Myeongkyun, Kim, Soopil, Jin, Kyong Hwan, Adeli, Ehsan, Pohl, Kilian M., Park, Sang Hyun

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Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets von Kim, Soopil, Park, Heejung, Kang, Myeongkyun, Jin, Kyong Hwan, Adeli, Ehsan, Pohl, Kilian M., Park, Sang Hyun

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Two-Step U-Nets for Brain Tumor Segmentation and Random Forest with Radiomics for Survival Time Prediction von Kim, Soopil, Luna, Miguel, Chikontwe, Philip, Park, Sang Hyun

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InstaSAM: Instance-Aware Segment Any Nuclei Model with Point Annotations von Nam, Siwoo, Namgung, Hyun, Jeong, Jaehoon, Luna, Miguel, Kim, Soopil, Chikontwe, Philip, Park, Sang Hyun

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Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification von An, Sion, Kang, Myeongkyun, Kim, Soopil, Chikontwe, Philip, Shen, Li, Park, Sang Hyun

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One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation von Kang, Myeongkyun, Chikontwe, Philip, Kim, Soopil, Jin, Kyong Hwan, Adeli, Ehsan, Pohl, Kilian M., Park, Sang Hyun

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CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification von Chikontwe, Philip, Kim, Soopil, Park, Sang Hyun

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Uncertainty-Aware Semi-Supervised Few Shot Segmentation von Kim, Soopil, Chikontwe, Philip, Park, Sang Hyun

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Comparison of Diagnostic Performance of Two-Dimensional and Three-Dimensional Fractal Dimension and Lacunarity Analyses for Predicting the Meningioma Grade von Soopil Kim, Yae Won Park, Sang Hyun Park, Sung Soo Ahn, Jong Hee Chang, Se Hoon Kim, Seung-koo Lee

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Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification von An, Sion, Kang, Myeongkyun, Kim, Soopil, Chikontwe, Philip, Shen, Li, Park, Sang Hyun

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Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection von Kim, Soopil, An, Sion, Chikontwe, Philip, Kang, Myeongkyun, Adeli, Ehsan, Pohl, Kilian M, Park, Sang Hyun

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Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation von Kim, Soopil, An, Sion, Chikontwe, Philip, Park, Sang Hyun

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CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification von Chikontwe, Philip, Kim, Soopil, Park, Sang Hyun

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Uncertainty-Aware Semi-Supervised Few Shot Segmentation von Kim, Soopil, Chikontwe, Philip, Park, Sang Hyun

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Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification von Sion An, Kim, Soopil, Chikontwe, Philip, Park, Sang Hyun

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