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James Duncan is the Ebenezer K. Hunt Professor of Biomedical Engineering with joint appointments in Radiology and Electrical Engineering at Yale University. His research primarily focuses on biomedical image processing and analysis, pioneering techniques for modeling and tracking anatomical structures in medical images. Professor Duncan's work began in the late 1980s, where he developed model-based strategies for image analysis that incorporate geometrical models and Bayesian reasoning to enhance the segmentation of objects from various medical imaging modalities, including CT, MRI, and ultrasound. He has significantly contributed to the analysis of cardiac and neuroanatomical functions through innovative image-guided surgical techniques, enabling precise tracking and measurement within these fields. With a foundation built on interdisciplinary collaboration, Duncan's laboratory has engaged in extensive studies leading to substantial advancements in the field of bioimaging, resulting in multiple patents and significant funding from the National Institutes of Health. He is a fellow of the Institute of Electrical and Electronics Engineers and has been involved in numerous academic and collaborative efforts both nationally and internationally, aiming to push the capabilities of imaging technologies further into their application in quantitative analyses.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.