Adversarial Learning of MRI data for improved Assessment of Alzheimer’s Disease

FALL 2019 RESEARCH INCUBATION AWARDEES

PI: Vijaya B. Kolachalama, Assistant Professor of Medicine, MED
Co-PI: Rhoda Au, Professor of Anatomy & Neurobiology, MED
Track: Digital Health Initiative & Artificial Intelligence Research

Alzheimer’s disease (AD) is a disease that will require a high cost of care, and the total amount keeps rising. Identifying risk factors that are amenable to intervention at the preclinical stage represents the most effective method for combatting AD. The team wants to apply an adversarial learning framework to enhance contrast to noise ratio (CNR).