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IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology|January 9, 2026
Decentralized Gossip Mutual Learning (GML) for brain tumor segmentation on multi-parametric MRIJingyun Chen, Yading YuanIEEE Transactions on Medical Imaging|March 7, 2025
Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual LearningJingyun Chen, Yading YuanProceedings of Spie--The International Society for Optical Engineering|December 30, 2025
Decentralized Gossip Mutual Learning (GML) for automatic head and neck tumor segmentationJingyun Chen, Yading YuanArxiv|June 5, 2025
Federated prediction for scalable and privacy-preserved knowledge-based planning in radiotherapyJingyun Chen, David Horowitz, Yading YuanProceedings of Spie--The International Society for Optical Engineering|December 31, 2025
FedKBP: Federated dose prediction framework for knowledge-based planning in radiation therapyJingyun Chen, Martin King, Yading YuanProceedings of Spie--The International Society for Optical Engineering|December 29, 2025
FeSEC: A Secure and Efficient Federated Learning Framework for Medical ImagingMuhammad Asad, Yading YuanIEEE Transactions on Medical Imaging|April 23, 2026
Mitigating Spurious Invariance in Contrastive Learning: A Probabilistic Self-Supervised Learning Framework for Medical Image AnalysisWei Wei, Yading YuanIEEE Journal of Biomedical and Health Informatics|July 11, 2018
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional NetworksYading Yuan, Yeh-Chi LoIEEE Transactions on Medical Imaging|April 25, 2017
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard DistanceYading Yuan, Ming Chao, Yeh-Chi LoProceedings of Spie--The International Society for Optical Engineering|September 23, 2022
Predicting 3D dose distribution with scale attention network for prostate cancer radiotherapySaba Adabi, Tzu-Chi Tsen, Yading YuanPageof 10