(734) 647-7428

Applications:
Biological Sciences, Engineering, Healthcare Research, Informatics, Social Science
Methodologies:
Artificial Intelligence, Bayesian Methods, Computer Vision, Computing, Data Mining, Data Visualization, Image Data, Machine Learning, Mathematical and Statistical Modeling, Natural Language Processing, Optimization
Relevant Projects:

NIH, US Army Medical Research and Materiel Command, American Cancer Society (ACS), Ford


Lubomir Hadjiyski

Professor

Department of Radiology

Dr. Hadjiyski research interests include computer-aided diagnosis, artificial intelligence (AI), machine learning, predictive models, image processing and analysis, medical imaging, and control systems. His current research involves design of decision support systems for detection and diagnosis of cancer in different organs and quantitative analysis of integrated multimodality radiomics, histopathology and molecular biomarkers for treatment response monitoring using AI and machine learning techniques. He also studies the effect of the decision support systems on the physicians’ clinical performance.