9 citations · 16 across the 11 of their papers we have counts for
4 papers · 1 filter
FedKBP: Federated dose prediction framework for knowledge-based planning in radiation therapy
Jingyun Chen, Martin King, Yading Yuan
Dose prediction plays a key role in knowledge-based planning (KBP) by automatically generating patient-specific dose distribution. Recent advances in deep learning-based dose predi…
H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images
Jinpeng Lu, Jingyun Chen, Linghan Cai +2
Positron emission tomography (PET) combined with computed tomography (CT) imaging is routinely used in cancer diagnosis and prognosis by providing complementary information. Automa…
Decentralized Gossip Mutual Learning (GML) for brain tumor segmentation on multi-parametric MRI
Jingyun Chen, Yading Yuan
Federated Learning (FL) enables collaborative model training among medical centers without sharing private data. However, traditional FL risks on server failures and suboptimal per…
Decentralized Gossip Mutual Learning (GML) for automatic head and neck tumor segmentation
Jingyun Chen, Yading Yuan
Federated learning (FL) has emerged as a promising strategy for collaboratively training complicated machine learning models from different medical centers without the need of data…