About the Lab
The Imaging AI Lab develops advanced machine learning techniques for medical image analysis, diagnosis, and treatment planning. Our research focuses on improving healthcare outcomes through innovative AI solutions, integrating deep learning algorithms, computer vision techniques, and specialized medical knowledge to build AI-assisted diagnostic systems for clinical applications.
Our computational tools augment medical researchers' capabilities by identifying subtle imaging biomarkers and patterns, enhancing diagnostic precision and workflow efficiency. Our approach leverages multimodal medical imaging data through neural networks and transformer architectures, serving as decision support technology rather than a replacement for expert clinical judgment.
The lab is based in Biomedical Engineering at the University of Alberta, and is affiliated with the Alberta Machine Intelligence Institute (Amii). We currently have four PhD students and numerous MSc and undergraduate students working on computer science, medical image processing, deep learning, and AI modeling of medical imaging and non-imaging data.
Principal Investigator: Dr. Craig Jones
Craig Jones leads the Imaging AI Lab's research in medical imaging, deep learning, and computer vision.
Google Scholar: 100+ peer reviewed publications (h-Index 46) | Full CV
Professor
Biomedical Engineering, University of Alberta
Fellow
CIFAR AI Chair
Canadian Institute for Advanced Research
Killam Memorial Chair
University of Alberta