2 papers
eess.AS2026
Do Multimodal Large Language Models Need Reasoning to Classify Dementia from Speech?
Liming Wang, Neguine Rezaii, Bradford C. Dickerson +1
Multimodal large language models (MLLMs) have emerged as a promising approach for improving the accuracy, transferability, and explainability of automatic dementia classification (…
eess.IV2025
Enhancing Brain Age Estimation with a Multimodal 3D CNN Approach Combining Structural MRI and AI-Synthesized Cerebral Blood Volume Measures
Jordan Jomsky, Kay C. Igwe, Zongyu Li +5
Brain age gap estimation (BrainAGE) is a promising imaging-derived biomarker of neurobiological aging and disease risk, yet current approaches rely predominantly on T1-weighted str…