3 papers
cs.CV2026
Predicting Alzheimer's disease progression using rs-fMRI and a history-aware graph neural network
Mahdi Moghaddami, Mohammad-Reza Siadat, Austin Toma +2
Alzheimer's disease (AD) is a neurodegenerative disorder that affects more than seven million people in the United States alone. AD currently has no cure, but there are ways to pot…
cs.CV2025
FocusSDF: Boundary-Aware Learning for Medical Image Segmentation via Signed Distance Supervision
Muzammal Shafique, Nasir Rahim, Jamil Ahmad +3
Segmentation of medical images constitutes an essential component of medical image analysis, providing the foundation for precise diagnosis and efficient therapeutic interventions…
cs.LG2025
Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences
Mahdi Moghaddami, Clayton Schubring, Mohammad-Reza Siadat
Alzheimer's disease (AD) is a neurodegenerative disorder with no known cure that affects tens of millions of people worldwide. Early detection of AD is critical for timely interven…