3 papers
cs.LG2026
iLENS: Interpretable LLM-Guided Mixture-of-Experts for Neuroimaging Survival Analysis
Farica Zhuang, Seong Woo Han, Zixuan Wen +3
Alzheimer's Disease (AD) is a complex neurodegenerative disorder that continues to impact millions of people worldwide. Predicting AD conversion during the prodromal stage remains…
cs.LG2026
Expert-Driven Survival Machines: Improving Stratification and Interpretability in Multiple Clinical Cohorts
Farica Zhuang, Zixuan Wen, Christos Davatzikos +1
Survival prediction plays a central role for healthcare providers and clinical researchers. Accurate risk stratification enables early intervention and improved patient management.…
cs.LG2025
Interpretable Alzheimer's Diagnosis via Multimodal Fusion of Regional Brain Experts
Farica Zhuang, Shu Yang, Dinara Aliyeva +6
Accurate and early diagnosis of Alzheimer's disease (AD) is critical for effective intervention and requires integrating complementary information from multimodal neuroimaging data…