5 papers
ProMUSE: Progressive Multi-modal Uncertainty-guided Staged Evidential Alzheimer Disease Classification
Long Doan, Branden Chen, Ethan Litton +6
Alzheimer's disease (AD) is a fatal disorder that destroys memory and cognitive skills in the elderly population. Most treatments for AD are effective in the early stage, leading t…
Uncertainty-Guided Conservative Propagation for Structured Inference in Vessel Segmentation
Huan Huang, Michele Esposito, Chen Zhao
Accurate vessel segmentation is essential for medical image analysis, yet remains challenging due to complex vascular patterns and imaging ambiguity. Most deep models rely on singl…
Anatomy Guided Coronary Artery Segmentation from CCTA Using Spatial Frequency Joint Modeling
Huan Huang, Michele Esposito, Chen Zhao
Accurate coronary artery segmentation from coronary computed tomography angiography is essential for quantitative coronary analysis and clinical decision support. Nevertheless, rel…
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…
Accurate Cobb Angle Estimation via SVD-Based Curve Detection and Vertebral Wedging Quantification
Chang Shi, Nan Meng, Yipeng Zhuang +12
Adolescent idiopathic scoliosis (AIS) is a common spinal deformity affecting approximately 2.2% of boys and 4.8% of girls worldwide. The Cobb angle serves as the gold standard for…