Dr. Deniz Alis was born in Sisli, Istanbul, in 1989. He finished high school in Sabanci Anatolian high school and ranked 1th in the national university election examination in 2007. Dr. Alis started Cerrahpasa Medical faculty (English Division) in 2007 and graduated as a practitioner physician from Cerrahpasa Medical Faculty in 2013. He placed in the top ten attendees in the national medical doctorate examination in the same year and entered Cerrahpasa Medical Faculty, Radiology Department. He finished his training in 2018 with a doctor's degree. He completed his government service obligation in Mehmet Akif Ersoy Cardiovascular research and training hospital, where Dr. Alis primarily engaged to high-end cardiovascular applications of radiology such as cardiac magnetic resonance imaging and coronary computed tomography in both clinical and academic environment. He started to work at Acibadem Mehmet Ali Aydinlar University, Maslak Acibadem Hospital, in April 2020 as an assistant professor in radiology. His primary focus in the Acibadem Healthcare group was contributing to the groups already very high healthcare, providing standards, particularly with his expertise in cardiovascular imaging and artificial intelligence.
Dr. Alis is the co-author of more than 50 papers, including several articles on machine learning for medical imaging, published in international journals. At the beginning of 2019, he started to focus on a popular area in his field, artificial intelligence applications for medical imaging, and with his engineer friends Mert Yergin, Mert Celenk, and Erdem Yaman lay the foundations of Hevi AI, which is a start-up company put its emphasis on providing artificial intelligence solutions for medical imaging problems. Hevi ai officially founded in January 2020 as a member of the Acibadem incubator program. Hevi ai won TUBITAK 1512 grant and elected for Nvidia's inception, Bayer G4A, and Turk Telekom Pilot program in 2020. They are currently working on their cutting-edge solution for stroke imaging, automated detection of ischemic and hemorrhagic stroke on brain imaging.
- School of Medicine
- Department of Medical Sciences