SEJONG UNIVERSITY College of Software Convergence

QuIIL focuses on computational methods to process and analyze imaging/non-imaging data. The primary interest of our group is to develop, standardize, and validate advanced computational methods for extracting quantifiable patterns/features, discovering useful/meaninfgul knowledge, and resolving real-world problems.


Our research activities include medical imaging, image processing, pattern recognition, machine learning, and data mining. Our approaches have been applied to medical images (pathology and radiology images) and agricultural images.

We collaborate with a number of investigators at Sejong University as well as several investigators outside Sejong University: Asan Medical Center, Konkuk University Medical Center, Daejeon St. Mary's Hospital, Kangbuk Samsung Medical Center (Korea), National Institutes of Health, University of Illinois at Urbana-Champaign, University of Illinois at Chicago (USA), University of British Columbia, Queen's University (Canada).

QuIIL is in the Department of Computer Science and Engineering, Department of Data Science at Sejong University.