Projects

Deep Learning

Interpretable Deep Learning for Neuroimaging Studies
Generative Models for Learning Underlying Geometry of Neuroimaging Data
Deep Learning for Longitudinal Neuroimaging Data
Joint Video-MRI Analysis to Relate Movement with Alterations in the Central Nervous System
Ambient Intelligence for Understanding Neuropsychiatric Symptoms (AmI-NPS)
Identification of Digital Biomarkers for Neurological Diseases
Joint Hypothesis- and Data-Driven Analysis
Statistical and Machine Learning Models for Functional MRI Analysis


Studies

National Consortium on Alcohol and Neuro-Development in Adolescence
Machine Learning to Distinguish HAND from Alzheimer's Disease in HIV
Tracking HIV Infection and Alcohol Abuse CNS Comorbidity with Neuroimaging
Innovative MRI-based Characterization of Cardiac Dyssynchrony
Neuroimaging of Connectivity in Alcoholism
Neuroimaging of Alcohol-Induced Neuroadaptation


Software Packages

Medical Image Quality Assurance
Scalable Informatics for Biomedical Imaging Studies