1 citations · 1 across the 7 of their papers we have counts for
Showing 2025 · cs.CVShow all
3 papers · 2 filters
cs.CV2025
UG-FedDA: Uncertainty-Guided Federated Domain Adaptation for Multi-Center Alzheimer's Disease Detection
Fubao Zhu, Zhanyuan Jia, Zhiguo Wang +7
Alzheimer's disease (AD) is an irreversible neurodegenerative disorder, and early diagnosis is critical for timely intervention. However, most existing classification frameworks fa…
cs.CV2025
UPMAD-Net: A Brain Tumor Segmentation Network with Uncertainty Guidance and Adaptive Multimodal Feature Fusion
Zhanyuan Jia, Ni Yao, Danyang Sun +6
Background: Brain tumor segmentation has a significant impact on the diagnosis and treatment of brain tumors. Accurate brain tumor segmentation remains challenging due to their irr…
cs.CV2025
Myocardial Region-guided Feature Aggregation Net for Automatic Coronary artery Segmentation and Stenosis Assessment using Coronary Computed Tomography Angiography
Ni Yao, Xiangyu Liu, Danyang Sun +7
Coronary artery disease (CAD) remains a leading cause of mortality worldwide, requiring accurate segmentation and stenosis detection using Coronary Computed Tomography angiography…