STATISTICAL METHODS FOR MEDICAL IMAGE ANALYSIS

BMI/STAT 642

Methods for analysis of case-control, cross sectional, and cohort studies. Covers epidemiologic study design, measures of association, rates, classical contingency table methods, and logistic and Poisson regression.

BMI 826

Covers advanced topics in the areas of biostatistics and biomedical informatics. Includes reading and discussion of original literature and individual student projects.

BMI/COMPSCI 767

Study of computational techniques that facilitate automated analysis, manipulation, denoising, and improvement of large-scale and high resolution medical images. Design and implementation of methods from computer Vision and Machine Learning to efficiently process such image data to answer biologically and clinically meaningful scientific questions. Students are strongly encouraged to have programming skills and basic proficiency in calculus and linear algebra, such asMATH 340.

BMI/STAT 641

Statistical issues in the design of clinical trials, basic survival analysis, data collection and sequential monitoring.

BMI/COMPSCI 567

Present introductory medical image processing and analysis techniques. Topics include medical imaging formats, segmentation, registration, image quantification, classification. Strongly encourage Matlab experience, such asCOMP SCI 310or368-Matlab.