ICON lab develops cutting-edge imaging and computational methods for biomedical research. Using these tools, we study the anatomy and function of biological systems in both normal and disease states. We have active research programs focusing on basic science and medical applications.
Our efforts in the medical field are focused on development of non-invasive diagnostic and monitoring technologies. We design ultra-fast and sensitive magnetic resonance imaging (MRI) and magnetic particle imaging (MPI) techniques through novel medical physics and deep learning approaches. Our designs utilize state-of-the-art neural network architectures and learning strategies. We utilize the fundamental advances in our techniques to push the envelope of sensitivitiy and specificity in targeted diagnosis of vascular, musculoskeletal and neurological diseases, and for molecular/cellular imaging.
We also pursue a computational neuroscience program targeted toward a quantitative understanding of human brain function and diseases. We use functional MRI and modern machine learning tools to study human sensory and cognitive systems during complex natural behavior. Specifically, we aim to locate functionally distinct areas of the human brain, and to reveal the type of information represented in each area. We are interested in how the human brain represents visual, auditory, and linguistic information; and how higher cognitive processes including attention, learning, and memory modulate these representations.
ICON lab is affliated with the EEE Dept., UMRAM, and the Neuroscience Program at Bilkent University.