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James S. Duncan is a Professor at Yale University, specializing in Biomedical Engineering. His research focuses on biomedical image processing, leveraging quantitative strategies in image analysis based on geometric physical models and statistical decision-making. His work extensively analyzes left ventricular cardiac function and integrates neuro-structure/function studies, alongside image-guided interventions. Duncan's notable contributions to the field are illustrated in various publications, including investigations into 3D image segmentation and estimating tissue deformation in functional images. As an academic leader, he has been recognized as an IEEE Fellow in 2001 and was inducted into the American Institute for Medical and Biological Engineering in 2000.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.