Abstract
Image analysis is an incredibly important facet of medical research, especially as medical imaging continues to be used clinically and in research. In this lecture, we will first introduce modern techniques for medical image processing, focusing on volumetric imaging in particular. Following this, we will discuss ways in which we can derive quantitative measures from these image processing techniques. Finally, we will conclude with some retrospection regarding the use of more classic image processing techniques/algorithms, and how learning about them can aid in current and future research.
About the speaker
Dr. Michael Kim completed a Computer Science PhD at Vanderbilt University in June 2026. His research focused on large-scale medical image analysis, with a specific focus on white matter in the brain using diffusion magnetic resonance imaging to study Alzheimer’s Disease. After completing his PhD, Michael enrolled in medical school at Columbia University at the Vagelos College of Physicians and Surgeons. He aims to combine his expertise in image analysis with clinical expertise to drive translational research.
The Zoom link and the flyer are open to students in ECE 6357. Enter the course password to see them.