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Proceedings. IEEE International Symposium on Biomedical Imaging|October 11, 2023
FEDSLD: FEDERATED LEARNING WITH SHARED LABEL DISTRIBUTION FOR MEDICAL IMAGE CLASSIFICATIONJun Luo, Shandong WuIJCAI : Proceedings of the Conference|May 16, 2023
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated LearningJun Luo, Shandong Wu... International Conference on Learning Representations|February 16, 2026
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language ModelsJun Luo, Chen Chen, Shandong WuProceedings. IEEE International Conference on Computer Vision|April 19, 2024
PGFed: Personalize Each Client's Global Objective for Federated LearningJun Luo, Matias Mendieta, Chen Chen, et al.Proceedings. IEEE International Symposium on Biomedical Imaging|October 27, 2023
Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum LearningZhengbo Zhou, Jun Luo, Dooman Arefan, et al.Machine Learning in Medical Imaging. MLMI (Workshop)|October 9, 2023
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture ClassificationJun Luo, Gene Kitamura, Dooman Arefan, et al.Clinical Nuclear Medicine|May 13, 2025
Artificial Intelligence in Sincalide-Stimulated Cholescintigraphy: A Pilot StudyNghi C Nguyen, Jun Luo, Dooman Arefan, et al.Journal of Biomedical Informatics|May 26, 2020
Response score of deep learning for out-of-distribution sample detection of medical imagesLong Gao, Shandong WuMedical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Atlas-based probabilistic fibroglandular tissue segmentation in breast MRIShandong Wu, Susan Weinstein, Despina KontosThe Visual Computer|November 20, 2019
Object Tracking Based On Huber Loss FunctionYong Wang, Shiqiang Hu, Shandong WuPageof 305