Clinical biomedical imaging focuses on the development and application of advanced imaging technologies and artificial intelligence to improve our understanding, diagnosis, and treatment of human disease using modalities such as MRI, PET, CT and ultrasound.
Students participate in multidisciplinary research that integrates principles from engineering, computer science, physics and mathematics and spans image acquisition, reconstruction, processing and quantitation. The program seeks to train the next generation of biomedical engineers as they conduct ground-breaking translational research towards the ultimate goal of improving patient care.
The research in this area is highly collaborative and made possible through longstanding collaborations between the Meinig School of Biomedical Engineering and the Department of Radiology at Weill Cornell Medicine. This unique partnership between our Ithaca and New York City campuses leverages engineering expertise from Cornell Duffield Engineering with clinical science at our medical school campus to enhance our commitment to Engineering Innovations in Medicine.
Faculty
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![Peter Doerschuk]()
Peter Doerschuk
Professor
Meinig School of Biomedical Engineering School of Electrical and Computer Engineering
Graduate Field Faculty
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![Amy Kuceyeski]()
Amy Kuceyeski
Adjunct Professor – Computational Biology Professor of Mathematics in Radiology
Department of Statistics and Data Science Weill Cornell Medicine
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![Mert Sabuncu]()
Mert Sabuncu
Professor
School of Electrical and Computer Engineering Department of Radiology, Weill Cornell Medicine Cornell Tech
