Level : Graduate
Semester : Spring 2017, 2018
Prerequisite(s) : One programming course, linear algebra and calculus are required. Any machine learning or computer vision course would be helpful, but not necessary.
Course Description :
Learn how to build intelligent algorithms and software for medical imaging that can help medical doctors to treat their patients and researchers to understand how the body works. Students will be familiarized with algorithmic techniques such as tracking, denoising, warping, segmentation, model fitting, optimization and interactive visualization of medical datasets.