Associate Professor, Department of Radiology
My research is dedicated to improving diagnostic radiology by combining machine learning with advanced imaging techniques. With a background in engineering and mathematics, I work on creating solutions that enhance diagnostic accuracy, predict disease outcomes, and ultimately improve patient care. A key focus of my work is identifying biomarkers for knee osteoarthritis that could help predict how the disease will progress and possibly reduce the need for knee replacement surgeries. I use clinical data, deep learning algorithms, and multi-modal imaging methods to develop better tools for diagnosing and monitoring osteoarthritis.
212-263-0378
227 E 30th St
7th Floor, Room 737
New York, NY 10016
Associate Professor, Department of Radiology at NYU Grossman School of Medicine
PhD from New York University School of Medicine
New York University School of Medicine, Radiology
Scientific reports. 2023 Apr 28; 13(1):6922
Informatics in medicine unlocked. 2024 Apr; 45:
Skeletal radiology. 2023 Nov; 52(11):2225-2238
Osteoarthritis imaging. 2023 Sep; 3(3):
Proceedings of machine learning research. 2023 Jul; 227:1385-1405
Osteoarthritis & cartilage. 2023 Jan; 31(1):115-125
Radiology advances. 2024 Jan 01; 1:umae030