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Alcohol use effects on adolescent brain development revealed by simultaneously removing confounding factors, identifying morphometric patterns, and classifying individuals

Article
Alcohol use effects on adolescent brain development revealed by simultaneously removing confounding factors, identifying morphometric patterns, and classifying individuals
  • Park, Sang Hyun ; 
  • Zhang, Yong ; 
  • Kwon, Dongjin ; 
  • Zhao, Qingyu ; 
  • Zahr, Natalie M. ; 
  • Pfefferbaum, Adolf ; 
  • Sullivan, Edith V. ; 
  • Pohl, Kilian M.
  • 2018-05
  • Park, Sang Hyun. (2018-05). Alcohol use effects on adolescent brain development revealed by simultaneously removing confounding factors, identifying morphometric patterns, and classifying individuals. doi: 10.1038/s41598-018-26627-7
  • Nature Publishing Group
  • View : 687
  • Download : 130
Article
Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation with Image Synthesis
  • Kim, Soopil ; 
  • Park, Heejung ; 
  • Chikontwe, Philip ; 
  • Kang, Myeongkyun ; 
  • Jin, Kyong Hwan ; 
  • Adeli, Ehsan ; 
  • Pohl, Kilian M. ; 
  • Park, Sang Hyun
  • 2025-05
  • Kim, Soopil. (2025-05). Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation with Image Synthesis. IEEE Transactions on Medical Imaging, 44(5), 2079–2092. doi: 10.1109/TMI.2025.3525581
  • Institute of Electrical and Electronics Engineers
  • View : 323
  • Download : 0
Article
Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets
  • 2024-07
  • Kim, Soopil. (2024-07). Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets. Medical Image Analysis, 95. doi: 10.1016/j.media.2024.103156
  • Elsevier
  • View : 101
  • Download : 0
Article
FedNN: Federated learning on concept drift data using weight and adaptive group normalizations
  • 2024-05
  • Kang, Myeongkyun. (2024-05). FedNN: Federated learning on concept drift data using weight and adaptive group normalizations. Pattern Recognition, 149. doi: 10.1016/j.patcog.2023.110230
  • Elsevier
  • View : 263
  • Download : 0
Conference
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
  • 2024-02-24
  • Kim, Soopil. (2024-02-24). Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. AAAI Conference on Artificial Intelligence, 8591–8599. doi: 10.1609/aaai.v38i8.28703
  • Association for the Advancement of Artificial Intelligence
  • View : 223
  • Download : 0
Conference
Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model
  • Peng, Wei ; 
  • Adeli, Ehsan ; 
  • Bosschieter, Tomas ; 
  • Park, Sang Hyun ; 
  • Zhao, Qingyu ; 
  • Pohl, Kilian M.
  • 2023-10-11
  • Peng, Wei. (2023-10-11). Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model. International Conference on Medical Image Computing and Computer Assisted Intervention, 14–24. doi: 10.1007/978-3-031-43993-3_2
  • The Medical Image Computing and Computer Assisted Intervention Society
  • View : 124
  • Download : 0
Conference
One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation
  • Kang, Myeongkyun ; 
  • Chikontwe, Philip ; 
  • Kim, Soopil ; 
  • Jin, Kyong Hwan ; 
  • Adeli, Ehsan ; 
  • Pohl, Kilian M. ; 
  • Park, Sang Hyun
  • 2023-10-10
  • Kang, Myeongkyun. (2023-10-10). One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation. International Conference on Medical Image Computing and Computer Assisted Intervention, 521–531. doi: 10.1007/978-3-031-43895-0_49
  • Medical Image Computing and Computer Assisted Intervention Society
  • View : 193
  • Download : 0
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