Biomedical imaging has become a critically important approach to understand biomedical systems by allowing direct visualization of complex biomedical processes and interactions. Extraction and quantification of most relevant biomedical information from imaging data is an integral part of biomedical imaging. This course provides an overview of most common biomedical image analysis problems and approaches. This course introduces advanced approaches to, and applications of, biomedical image analysis, including theories of imaging modalities, algorithms, software systems and applications. Advanced applications of state-of-the-art biomedical image analysis software systems will be emphasized. Biomedical image analysis is an interdisciplinary research field involving disciplines of computer science, biology, medicine, neuroscience, mathematics, statistics and physics. We welcome students and researchers from different disciplines join this course and participate in our interdisciplinary discussion.