Ulas Bagci, PhD

Dr. Ulas Bagci is a tenured associate professor of radiology at Northwestern University in Chicago. He holds courtesy professorships in Northwestern’s biomedical engineering and electrical and computer engineering departments, and in the University of Central Florida’s Center for Research in Computer Vision. His research focuses on artificial intelligence, machine learning, and their applications in biomedical and clinical imaging.

Dr. Bagci has published more than 400 peer-reviewed articles on these topics. Previously, he was a staff scientist and lab co-manager in the Center for Infectious Disease Imaging, within the National Institutes of Health’s Radiology and Imaging Sciences department. He holds three NIH R01 grants as principal investigator and one NIH U01 grant, and serves on the steering committee of the NIH’s Artificial Intelligence Resource (AIR).

He has served as a MICCAI area chair for several years and is an associate editor for leading journals in his fields, including IEEE Transactions on Medical Imaging, Medical Physics, and Medical Image Analysis.

Prof. Bagci teaches machine learning, advanced deep learning methods, computer and robot vision, and medical imaging. His national and international recognitions include best paper and reviewer awards.