Imaging and Computational Neuroscience Lab
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.

About the lab
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 sensitivity 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.
Research areas
All researchPhysics-driven MRI and CT reconstruction
Learned priors combined with imaging physics for fast, reliable scans.
Multi-modal medical image synthesis
Recovering missing contrasts and modalities from the scans at hand.
Federated and privacy-preserving learning
Training models across hospitals while patient data stay on site.
Vision-language models and image analysis
Linking medical images with clinical text and diagnostic labels.
Magnetic particle imaging and imaging systems
Fast calibration and reconstruction for emerging imaging systems.
Functional brain imaging and computational neuroscience
How the brain represents the world, studied with fMRI and machine learning.
Latest publications
All publicationsOpen-source code
Code and trained models for our methods, including SynDiff, ResViT, BolT, FedGIMP and MambaRoll.
github.com/icon-labBrain Viewer
Interactive maps from our fMRI experiments on natural vision and attention.
Open the viewerOur team
Faculty, postdoctoral researchers and graduate students working across imaging and AI.
Meet the teamJoin the lab
We welcome motivated students and researchers with a background in electrical engineering, computer science, physics or a related field. Graduate students join through the MS and PhD programs of the Department of Electrical and Electronics Engineering at Bilkent University.
To ask about openings, please email Prof. Çukur at cukur[at]ee.bilkent.edu.tr with your CV and a short note on your research interests.
