6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Foundation Model-guided Iteratively Prompting and Pseudo-Labeling for Partially Labeled Medical Image Segmentation
Qiaochu Zhao, Wei Wei, David Horowitz +2
Automated medical image segmentation has achieved remarkable progress with fully labeled data. However, site-specific clinical priorities and the high cost of manual annotation oft…
cs.DC2025
Federated prediction for scalable and privacy-preserved knowledge-based planning in radiotherapy
Jingyun Chen, David Horowitz, Yading Yuan
Background: Deep learning has potential to improve the efficiency and consistency of radiation therapy planning, but clinical adoption is hindered by the limited model generalizabi…
cs.DC2025★ 6 cited
Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning
Jingyun Chen, Yading Yuan
Federated Learning (FL) presents a promising avenue for collaborative model training among medical centers, facilitating knowledge exchange without compromising data privacy. Howev…