Undergraduate Research on Deep Learning and Neuroimage Analysis
Research opportunities for self-motivated undergraduate students are available in the Brain Research through Analysis and Informatics of Neuroimaging (BRAIN) Lab in the Department of Radiology and Biomedical Research Imaging Center (BRIC). Our lab mainly focuses on the development of innovative computational methods and tools based on artificial intelligence and machine learning techniques for processing and analyzing multimodal neuroimaging data for studying brain structure, function, and connectivity during development, aging and disorders in humans and non-human primates. Two research directions are available. The first one is on the development of machine/deep learning methods for analyzing brain MR images. Good command of programming tools e.g., Python, Linux, and scripting are necessary to carry out the research work. The second direction is on applying our developed computational tools to study brain structural, functional and connectivity development during perinatal stages in both normal and at-risk subjects. Students will be expected to dedicate a minimum of 8-10 hours/week to the research project. We strongly encourage applications from diverse backgrounds.