Prof Dr Tolga Cukur
After receiving his bachelor’s degree from Bilkent University in 2003 and his PhD degree from Stanford University in 2009, he continued his postdoctoral studies at the University of California, Berkeley. Since 2013, he has been working as a faculty member in the Electrical and Electronics Engineering, UMRAM and Neuroscience Program at Bilkent University. He conducts research on technologies to reduce the cost and time of examinations while increasing the quality and scope of biomedical images. He is a senior member of IEEE (2017), and his work has been awarded various supports and awards such as TÜBİTAK Career Award (2015), TÜBA-GEBİP Outstanding Young Scientist Award (2015), BAGEP Young Scientist Award (2017), IEEE Türkiye Research Encouragement Award (2017), Science Heroes Association Young Scientist of the Year Award (2017), METU Prof. Dr. Mustafa Parlar Foundation Research Encouragement Award (2019) and TÜSEB Research Incentive Award (2021).
Overview of the talk
Medical imaging technologies offer an unrivaled opportunity to study the morphology of the human body under rich tissue contrasts. However, effective use of non-invasive imaging modalities in particular is limited by low imaging speed, diagnostic quality, and diversity. Classical approaches to image generation and analysis are insufficient to circumvent this problem. Artificial intelligence techniques provide a paradigm shift in the field of medical imaging, opening the door to rapid, sensitive and specific diagnostic evaluations.