Bulat Ibragimov

Bulat Ibragimov is an Associate Professor in the Department of Computer Science at the University of Copenhagen, specializing in the Image Analysis, Computational Modelling, and Geometry research section. His work focuses on applying advanced computational techniques to medical imaging problems, particularly in radiology and diagnostic applications.

His research interests span multiple domains of medical AI, including:

• Medical image analysis and computer vision for diagnostic applications
• Eye tracking analysis to understand radiologist decision-making processes
• Deep learning applications for disease detection and severity classification
• Explainable AI systems for medical image interpretation
• Computational geometry applications in medical imaging

Dr. Ibragimov's recent publications demonstrate a strong focus on applying artificial intelligence to improve diagnostic accuracy and efficiency in medical settings. His work frequently bridges the gap between computer science and clinical applications, with particular emphasis on radiology, cardiology, dentistry, and gastroenterology. Many of his studies incorporate eye tracking data to better understand and augment human decision-making in medical imaging contexts.

His notable contributions include work on:

• Cardiometric analysis from chest X-rays
• Dental image analysis for abnormality detection
• Ulcerative colitis severity classification
• Explainable AI for medical image models
• Prediction of radiological decision errors using eye tracking data