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IEEE Journal of Biomedical and Health Informatics|April 1, 2024
FedIOD: Federated Multi-Organ Segmentation From Partial Labels by Exploring Inter-Organ DependencyQin Wan, Zengqiang Yan, Li Yu
Computers in Biology and Medicine|February 29, 2024
Weakly supervised learning for multi-class medical image segmentation via feature decompositionZhuo Kuang, Zengqiang Yan, Li Yu
Neural Networks : the Official Journal of the International Neural Network Society|July 19, 2024
Boosting integral-based human pose estimation through implicit heatmap learningCongju Du, Zengqiang Yan, Zixiang Xiong, et al.
IEEE Journal of Biomedical and Health Informatics|July 31, 2023
Cluster-Re-Supervision: Bridging the Gap Between Image-Level and Pixel-Wise Labels for Weakly Supervised Medical Image SegmentationZhuo Kuang, Zengqiang Yan, Huiyu Zhou, et al.
Applied Optics|June 13, 2014
Beyond the interference problem: hierarchical patterns for multiple-projector structured light systemZengqiang Yan, Li Yu, You Yang, et al.
IEEE Journal of Biomedical and Health Informatics|April 13, 2023
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image SegmentationXian Lin, Li Yu, Kwang-Ting Cheng, et al.
IEEE Transactions on Medical Imaging|April 7, 2023
The Lighter the Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive PruningXian Lin, Li Yu, Kwang-Ting Cheng, et al.
IEEE Transactions on Medical Imaging|February 24, 2026
Addressing Imbalanced Modal Incompleteness in Realistic Multi-Modal Medical Image Segmentation via Hierarchical Gradient AlignmentJunjie Shi, Zhaobin Sun, Li Yu, et al.
IEEE Journal of Biomedical and Health Informatics|October 24, 2025
FedHAC: Towards Robust Federated Multi-Lesion Segmentation with Heterogeneous Annotation CompletenessYangyang Xiang, Nannan Wu, Li Yu, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
ROXSI: Robust Cross-Sequence Semantic Interaction for Brain Tumor Segmentation on Multi-Sequence MR ImagesZhuo Kuang, Zengqiang Yan, Aly Abayazeed, et al.
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