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World-class, cross-disciplinary research ecosystem

 

AI4MI unites the Department of Radiology at Weill Cornell Medicine and Cornell Tech in a first-of-its-kind cross-campus initiative to transform how medical imaging is developed, deployed, and applied in real-world clinical settings. AI4MI advances the university’s “One Cornell” priority by creating a world-class, cross-disciplinary research ecosystem that brings together engineers, computer scientists, clinicians, and researchers across campuses and beyond.

 

Catalyzing and amplifying collaborative research

AI4MI creates seamless pathways between Cornell Tech and Weill Cornell Medicine, giving researchers the access, resources, and connections they need to accelerate innovation.

Faculty members

Mert Sabuncu

Associate Dean for Research and Andrew H. and Ann R. Tisch Professor

Mert Sabuncu is the Andrew H. and Ann R. Tisch Professor at Cornell Tech and in the Electrical and Computer Engineering Department at Cornell University, and holds a secondary appointment in the Department of Radiology at Weill Cornell Medicine.

Areas of Research: 

Computer vision
Machine learning
Medical imaging

Academic Degrees: 

Ph.D., Princeton University, 2006

Research Labs and Initiatives: 

AI for Medical Imaging

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Heejong Kim

Instructor in the Department of Radiology at Weill Cornell Medicine

Areas of Research:

Cancer imaging
Longitudinal analysis
Machine learning

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Qingyu Zhao

Assistant Professor in the Department of Radiology at Weill Cornell Medicine

Areas of Research:

AI in neuroimaging
Computational neuroscience

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Johannes Paetzold

Assistant Professor in the Department of Radiology at Weill Cornell Medicine

Areas of Research:

Computer vision
Machine learning
Medical imaging

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Amy Kuceyeski

Professor in the Department of Radiology at Weill Cornell Medicine

Areas of Research:

Machine learning
AI in neuroimaging

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Aleksei Tiulpin

Assistant Professor of Artificial Intelligence in the Department of Radiology at Weill Cornell Medicine

Areas of Research:

Machine learning for medical imaging
Chronic diseases
Preventive care

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Benjamin C. Lee

Assistant Professor of AI Research in the Department of Radiology at Weill Cornell Medicine

Areas of Research: 

Machine learning
Medical imaging

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Greg Holste

Assistant Professor of Population Health Sciences, Radiology, and Cardiology at Weill Cornell Medicine

Areas of Research

Deep learning
Medical imaging
Automated diagnosis

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Sumit Niogi

Assistant Professor in the Department of Radiology at Weill Cornell Medicine

Affiliations: 

Director, Clinical AI and Imaging Informatics, Dept of Radiology
Chair, Data & IT Infrastructure, Center for Early Detection & Prevention
Director, Imaging Informatics, Data Science, Engineering, and the AI Lifecycle (IDEAL) Service
Executive Director, Cornell University MRI Facility (CMRIF)
Vice Chair, IRB

Areas of Research:

Machine learning
AI in neuroimaging
Medical imaging

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Fellows

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Ruining Deng

Instructor of Artificial Intelligence in the Department of Radiology at Weill Cornell Medicine

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Alberto Mario Ceballos Arroyo

Postdoctoral Associate in the Department of Radiology at Weill Cornell Medicine

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