(BIOE 320) Biomedical Image Computing and Modeling

3 Credits

This course provides an introduction to biomedical image modalities, computing techniques, and informatics systems, with a focus on advanced imaging analysis. It covers algorithms and software for extracting quantitative insights from biomedical image data, including topics such as image processing, geometric and statistical modeling, and AI-based techniques for segmentation, registration, and enhancement. The course also explores brain network analysis for understanding neurological interactions and imaging informatics systems in biomedicine. Prerequisites: ( MATH 205 or MATH 241 or MATH 043 ) and CSE 017 Attribute/Distribution: Q