3 papers
cs.CV2026
Adaptive Temporal Gating of Longitudinal Magnetic Resonance Imaging for Alzheimer's Prediction
Alireza Moayedikia, Sara Fin, Alicia Troncoso Lora +1
Predicting conversion from Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) is critical for early intervention. Current deep learning paradigms predominantly rely on cro…
cs.LG2026
Alzheimer's Disease Brain Network Mining
Alireza Moayedikia, Sara Fin
Machine learning approaches for Alzheimer's disease (AD) diagnosis face a fundamental challenges. Clinical assessments are expensive and invasive, leaving ground truth labels avail…
cs.LG2025
Dual Model Deep Learning for Alzheimer Prognostication
Alireza Moayedikia, Sara Fin, Uffe Kock Wiil
Disease modifying therapies for Alzheimer's disease demand precise timing decisions, yet current predictive models require longitudinal observations and provide no uncertainty quan…