Dr. Mehdi Moradi

Computer vision problems such as object detection, scene description, image synthesis, segmentation and classification have direct applications in the field of medical image analysis in areas such as computer-aided diagnosis, automatic radiology report generation, and medical image segmentation for obtaining measurements and biomarkers from imaging modalities such as X-ray and MRI. This course provides a review of foundational concepts of computer vision in the era of deep learning through instructor led lectures, followed by a review of the state of the art in these areas through instructor and student led review and discussion of literature. Each student will complete a project to gain hands-on experience with computer vision methods in medical image analysis. At least one introductory course in machine learning or artificial intelligence and experience to code in Python are required.

This course will be a systematic study of the modern evolution of computer vision. We will study transformational advances in the area by reading the original publications and applying some of these methods to medical imaging datasets for disease classification and anatomical segmentation.